plateform stringclasses 1
value | repo_name stringlengths 13 113 | name stringlengths 3 74 | ext stringclasses 1
value | path stringlengths 12 229 | size int64 23 843k | source_encoding stringclasses 9
values | md5 stringlengths 32 32 | text stringlengths 23 843k |
|---|---|---|---|---|---|---|---|---|
github | microsoft/ADBench-master | dpartial_log10.m | .m | ADBench-master/submodules/adimat-0.6.2-5288/runtime/dpartial_log10.m | 569 | utf_8 | f06bfb2386538ae792c850a8c9261720 | % function [dpartial y] = partial_log10(x)
%
% Compute partial derivative diagonal of y = log10(x).
%
% This returns the diagonal of the partial derivative. The partial
% derivative matrix can be obtained by using diag(partial).
%
% This file is part of the ADiMat runtime environment
%
% Copyright 2012 Johannes Willkom... |
github | microsoft/ADBench-master | a_vertcat.m | .m | ADBench-master/submodules/adimat-0.6.2-5288/runtime/a_vertcat.m | 584 | utf_8 | 73cb681bcbfe245035ced44a087ac9c7 | % function adj = a_vertcat(adj, v1, v2, ..., vi)
%
% compute adjoint of vertcat(v1, v2, ..., vi, ..., vn) w.r.t. vi.
%
% see also a_horzcat, a_sum
%
% This file is part of the ADiMat runtime environment
%
% Copyright 2011 Johannes Willkomm, Institute for Scientific Computing
% RWTH Aachen University... |
github | microsoft/ADBench-master | matdiff1.m | .m | ADBench-master/submodules/adimat-0.6.2-5288/runtime/matdiff1.m | 556 | utf_8 | e7f71de46cb29a43945b72147c5010b7 | % function [dz z] = matdiff1(dx, x, handle)
%
% see also matdiff, partial_funm
%
% This file is part of the ADiMat runtime environment
%
% Copyright 2012 Johannes Willkomm, Institute for Scientific Computing
% TU Darmstadt
function [dz z varargout] = matdiff1(dx, x, handle)
n = size(x, 1);
zx = ... |
github | microsoft/ADBench-master | admHessianT2ForMultS.m | .m | ADBench-master/submodules/adimat-0.6.2-5288/runtime/admHessianT2ForMultS.m | 4,871 | utf_8 | 87494ecdb5ca2b9a0f6676b13cb1587d | % function [Hessian, Jac, varargout] = ...
% admHessian(handle, seedMatrix, arg1, arg2, ..., argN, admOptions?)
%
% Compute second order derivatives of function given by handle,
% evaluated at the arguments arg1, arg2, ..., argN and return the
% Hessian matrix. This works by running admOptions.admDiffFunction to
% ... |
github | microsoft/ADBench-master | admCheckDeps.m | .m | ADBench-master/submodules/adimat-0.6.2-5288/runtime/admCheckDeps.m | 2,560 | utf_8 | 48b327a97078ce3faf00a2f360de8b80 | % function [r, newerList] = admCheckDeps(functionName)
%
% Check whether differentiated function file given by functionName
% needs to be regenerated. This is the case when one of its
% dependencies has changed. The dependencies are the original function
% and functions called by it (transitively).
%
% Return false() w... |
github | microsoft/ADBench-master | mk_givens.m | .m | ADBench-master/submodules/adimat-0.6.2-5288/runtime/mk_givens.m | 344 | utf_8 | 69e76f95cef30f47a3b5dc82de8e86ac | % function G = mk_givens(c, s, n, i, j)
%
% Construct the Givens-rotation U(i,j,phi), or the (i,j)-rotation, of
% order n given c = cos(phi) and s = sin(phi).
%
function G = mk_givens(c, s, n, i, j)
G = speye(n);
G(i,i) = c;
G(j,j) = conj(c);
G(i,j) = -s;
G(j,i) = conj(s);
end
% $Id: mk_givens.m 4162 2014-05-... |
github | microsoft/ADBench-master | adimat_pop_index1.m | .m | ADBench-master/submodules/adimat-0.6.2-5288/runtime/adimat_pop_index1.m | 714 | utf_8 | 187034798b8c170c2ca80df71554c08f | % function r = adimat_pop_index1(arrayVar, index1)
% Store values given by arrayVar(index1, ...) on the stack, if this
% indexing is possible. Otherwise the whole variables has to be
% saved, in order to restore it to previous size later.
%
% see also adimat_pop, adimat_pop_cell_index, adimat_push_index
%
% This ... |
github | microsoft/ADBench-master | g_adimat_prod2.m | .m | ADBench-master/submodules/adimat-0.6.2-5288/runtime/g_adimat_prod2.m | 2,603 | utf_8 | 27419ad9bbddd2dca876d2ca7d925f63 | % Generated by ADiMat 0.6.0-4867
% Copyright 2009-2013 Johannes Willkomm, Fachgebiet Scientific Computing,
% TU Darmstadt, 64289 Darmstadt, Germany
% Copyright 2001-2008 Andre Vehreschild, Institute for Scientific Computing,
% RWTH Aachen University, 52056 Aachen, Germany.
% Visit us on the web at http://www.adimat.de
... |
github | microsoft/ADBench-master | a_adimat_norm2.m | .m | ADBench-master/submodules/adimat-0.6.2-5288/runtime/a_adimat_norm2.m | 91,059 | utf_8 | f0fc85cfedad6777346a34007b9a3919 | % Generated by ADiMat 0.6.0-4867
% © 2001-2008 Andre Vehreschild <vehreschild@sc.rwth-aachen.de>
% © 2009-2013 Johannes Willkomm <johannes.willkomm@sc.tu-darmstadt.de>
% RWTH Aachen University, 52056 Aachen, Germany
% TU Darmstadt, 64289 Darmstadt, Germany
% Visit us on the web at http://www.adimat.de/
% Report bugs to... |
github | microsoft/ADBench-master | dpartial_secd.m | .m | ADBench-master/submodules/adimat-0.6.2-5288/runtime/dpartial_secd.m | 442 | utf_8 | 8f4a288c16a28bf679e7c65697563b00 | % function [dpartial y] = dpartial_secd(x)
%
% Compute partial derivative diagonal of y = secd(x).
%
% see also dpartial_exp.
%
% This file is part of the ADiMat runtime environment
%
% Copyright 2012 Johannes Willkomm, Fachgebiet Scientific Computing
% TU Darmstadt
function [dpartial y] = dpartial_... |
github | microsoft/ADBench-master | g_adimat_trapz.m | .m | ADBench-master/submodules/adimat-0.6.2-5288/runtime/g_adimat_trapz.m | 5,808 | utf_8 | 777afb3441c8f51391dc61e458b7d17d | % Generated by ADiMat 0.6.0-4867
% Copyright 2009-2013 Johannes Willkomm, Fachgebiet Scientific Computing,
% TU Darmstadt, 64289 Darmstadt, Germany
% Copyright 2001-2008 Andre Vehreschild, Institute for Scientific Computing,
% RWTH Aachen University, 52056 Aachen, Germany.
% Visit us on the web at http://www.adimat.de
... |
github | microsoft/ADBench-master | adimat_postpad2.m | .m | ADBench-master/submodules/adimat-0.6.2-5288/runtime/adimat_postpad2.m | 238 | utf_8 | 1db74e9944d5770beb7591fe406f088e | % function r = adimat_prepad(a,l,c)
%
% Mimic the function prepad, which is available in Octave, but not in MATLAB
%
% (c) 2018 Johannes Willkomm
function r = adimat_postpad2(a,l)
r = adimat_postpad(a,l,0,adimat_first_nonsingleton(a));
|
github | microsoft/ADBench-master | g_eig2.m | .m | ADBench-master/submodules/adimat-0.6.2-5288/runtime/g_eig2.m | 374 | utf_8 | e0f7ea0b69d852e1f117d4a3772e9364 | % function [g_V, V, g_D, D]= g_eig2(g_A, A)
%
% This file is part of the ADiMat runtime environment
%
% Copyright (C) 2015 Johannes Willkomm
function [g_V, V, g_D, D] = g_eig2(g_A, A)
[V D] = eig(A);
TMP1 = V \ (g_A * V);
TMP2 = d_eig_F(diag(D));
g_D = call(@diag, call(@diag, TMP1));
g_V = V * (TMP2 .* TMP1);... |
github | microsoft/ADBench-master | admLogFile.m | .m | ADBench-master/submodules/adimat-0.6.2-5288/runtime/admLogFile.m | 3,333 | utf_8 | 4d3e7851c4145f575c59b97dfd8b3961 | % function [r n] = admLogFile(name, fh)
%
% Set or retrieve output file handle for various ADiMat log messages.
%
% By default, all output file handles are set to 1 (standard console
% output). Thus, by default, all ADiMat log messages will be printed
% on the screen. This functions provides a mechanism to select... |
github | microsoft/ADBench-master | matdiff.m | .m | ADBench-master/submodules/adimat-0.6.2-5288/runtime/matdiff.m | 883 | utf_8 | dc66ccdf38133c399298e2f4fec5a94a | % function [partial z] = matdiff(x, handle, base?)
%
% Compute derivative of matrix function z = handle(x) for square x
% using the identity [z, dZ; 0, z] = f([x, dx; 0, x]). base is the
% seed matrix. If base is not given it is set to eye(numel(x)).
%
% see also partial_funm, matdiff1
%
% This file is part of the ADiM... |
github | microsoft/ADBench-master | admToString.m | .m | ADBench-master/submodules/adimat-0.6.2-5288/runtime/admToString.m | 987 | utf_8 | cc2530e585306e26d10c3efa8f883a8a | % function s = admToString(obj)
%
% Return a string representing obj. Floats are converted with
% sprintf('%g', obj), integers and logicals with sprintf('%d', obj).
%
% see also admTransform, admBuildFlags
%
% This file is part of the ADiMat runtime environment
%
% Copyright 2009,2010 Johannes Willkomm, Institute for S... |
github | microsoft/ADBench-master | a_ifft2.m | .m | ADBench-master/submodules/adimat-0.6.2-5288/runtime/a_ifft2.m | 550 | utf_8 | 962fb02d2dfa62137743636c1f2181d5 | % function adj = a_ifft2(adj, ind, a, m?, n?)
%
% Compute adjoint of z = ifft2(x, m?, n?).
%
% see also a_fft
%
% This file is part of the ADiMat runtime environment
%
% Copyright 2013 Johannes Willkomm, Institute for Scientific Computing
% TU Darmstadt
function adj = a_ifft2(adj, ind, a, m, n)
sz... |
github | microsoft/ADBench-master | adimat_neig.m | .m | ADBench-master/submodules/adimat-0.6.2-5288/runtime/adimat_neig.m | 331 | utf_8 | 4050a7407555628e38b36930f1d8be2e | % function [V D] = adimat_neig(A)
%
% Return eigenvectors in a normalized form: first component is always
% positive.
%
% Copyright (C) 2015 Johannes Willkomm
function [V D] = adimat_neig(A)
[V D] = eig(A);
for k=1:size(V,2)
V(:,k) = sign(V(1,k)) .* V(:,k);
end
% $Id: adimat_neig.m 5004 2015-05-18 21:20:08Z ... |
github | microsoft/ADBench-master | dpartial_cotd.m | .m | ADBench-master/submodules/adimat-0.6.2-5288/runtime/dpartial_cotd.m | 470 | utf_8 | db2eecc1f6b6cccca4a834de984ae17a | % function [dpartial y] = dpartial_cotd(x)
%
% Compute partial derivative diagonal of y = cotd(x).
%
% see also dpartial_exp.
%
% This file is part of the ADiMat runtime environment
%
% Copyright 2012 Johannes Willkomm, Fachgebiet Scientific Computing
% TU Darmstadt
function [dpartial y] = dpartial_... |
github | microsoft/ADBench-master | adimat_push_index1.m | .m | ADBench-master/submodules/adimat-0.6.2-5288/runtime/adimat_push_index1.m | 599 | utf_8 | 61c28c544860564c3872782e8954ee75 | % function r = adimat_push_index1(arrayVar, index1)
% Store values given by arrayVar(index1, ...) on the stack, if this
% indexing is possible. Otherwise the whole variables has to be
% saved, in order to restore it to previous size later.
%
% see also adimat_push, adimat_push_cell_index, adimat_pop_index
%
% Thi... |
github | microsoft/ADBench-master | a_besselh.m | .m | ADBench-master/submodules/adimat-0.6.2-5288/runtime/a_besselh.m | 585 | utf_8 | 0b467e7dcd23b1e5e6e6af0b2e115199 | % function [adj] = a_besselh(adj, nu, k, x, opt?)
%
% compute the adjoint of x in z = besselh(nu, k, x, opt?), where adj
% is the adjoint of z.
%
% see also dpartial_besselh
%
% This file is part of the ADiMat runtime environment
%
% Copyright 2013 Johannes Willkomm, Fachgebiet Scientific Computing
% ... |
github | microsoft/ADBench-master | adimat_max22.m | .m | ADBench-master/submodules/adimat-0.6.2-5288/runtime/adimat_max22.m | 751 | utf_8 | 4f8e04450b4296488920fa3c3917559d | % function adj = adimat_max22(val1, val2, adj)
%
% This determines the adjoint of val2 in z = max(val1, val2), where
% the adjoint of z is given as parameter adj.
%
% see also a_mean
%
% This file is part of the ADiMat runtime environment
%
% Copyright 2010-2013 Johannes Willkomm, Institute for Scientific Computing
... |
github | microsoft/ADBench-master | a_adimat_prod2.m | .m | ADBench-master/submodules/adimat-0.6.2-5288/runtime/a_adimat_prod2.m | 4,883 | utf_8 | f576473da69c4ddf16863cc9c1741758 | % Generated by ADiMat 0.6.0-4867
% © 2001-2008 Andre Vehreschild <vehreschild@sc.rwth-aachen.de>
% © 2009-2013 Johannes Willkomm <johannes.willkomm@sc.tu-darmstadt.de>
% RWTH Aachen University, 52056 Aachen, Germany
% TU Darmstadt, 64289 Darmstadt, Germany
% Visit us on the web at http://www.adimat.de/
% Report bugs to... |
github | microsoft/ADBench-master | adimat_cell2vao.m | .m | ADBench-master/submodules/adimat-0.6.2-5288/runtime/adimat_cell2vao.m | 324 | utf_8 | 546b7e4ad2ce9d57463a6a5dfc6118d0 | % function varargout = adimat_cell2vao(carr)
%
% Copyright 2011 Johannes Willkomm, Scientific Computing Group
% TU Darmstadt
%
% This file is part of the ADiMat runtime environment
%
function varargout = adimat_cell2vao(carr)
varargout = carr;
% $Id: adimat_cell2vao.m 3119 2011-11-11 14:26:46Z willkom... |
github | microsoft/ADBench-master | g_logm.m | .m | ADBench-master/submodules/adimat-0.6.2-5288/runtime/g_logm.m | 690 | utf_8 | dc6a43c9552ac8e6de2c87b6a99104a6 | % function [g_z, z] = g_logm(g_x, x)
%
% Compute derivative of z = logm(x), matrix logarithm. Also return the
% function result z.
%
% This file is part of the ADiMat runtime environment.
%
% Copyright 2012 Johannes Willkomm, Institute for Scientific Computing
% TU Darmstadt
function [g_z, z] = g_lo... |
github | microsoft/ADBench-master | d_adimat_norm2_i1.m | .m | ADBench-master/submodules/adimat-0.6.2-5288/runtime/d_adimat_norm2_i1.m | 19,676 | utf_8 | 86e947a4a7784b25b9736afe33d38ebf | % Generated by ADiMat 0.6.0-4867
% © 2001-2008 Andre Vehreschild <vehreschild@sc.rwth-aachen.de>
% © 2009-2013 Johannes Willkomm <johannes.willkomm@sc.tu-darmstadt.de>
% RWTH Aachen University, 52056 Aachen, Germany
% TU Darmstadt, 64289 Darmstadt, Germany
% Visit us on the web at http://www.adimat.de/
% Report bugs to... |
github | microsoft/ADBench-master | adimat_push1.m | .m | ADBench-master/submodules/adimat-0.6.2-5288/runtime/adimat_push1.m | 337 | utf_8 | 4d7544b889bbb467e4a313cd32e20aa1 | % function r = adimat_push1(v)
% store values on stack, return new size of stack
%
% see also adimat_store, adimat_pop, adimat_clear_stack, adimat_stack_size
%
% This file is part of the ADiMat runtime environment
%
function r = adimat_push1(obj)
r = adimat_store(1, obj);
% $Id: adimat_push1.m 4220 2014-05-16 12:5... |
github | microsoft/ADBench-master | a_adimat_fftconv_2.m | .m | ADBench-master/submodules/adimat-0.6.2-5288/runtime/a_adimat_fftconv_2.m | 13,737 | utf_8 | f4fb35522948fef33c5a6df74f330a5f | % Generated by ADiMat 0.6.2-5249 (10432437)
% © 2001-2008 Andre Vehreschild <vehreschild@sc.rwth-aachen.de>
% © 2009-2015 Johannes Willkomm <johannes@johannes-willkomm.de>
% TU Darmstadt, 64289 Darmstadt, Germany
% Visit us on the web at http://www.adimat.de/
% Report bugs to johannes@johannes-willkomm.de
%
% ... |
github | microsoft/ADBench-master | a_eig21.m | .m | ADBench-master/submodules/adimat-0.6.2-5288/runtime/a_eig21.m | 546 | utf_8 | 7e830a211994ad2665af2dd768f1f41f | % function a_A = a_eig11(a_V, a_D, A)
%
% Compute adjoint of A in [V D] = eig(A), given adjoints of V and D.
%
% see also a_eig_01_11, a_eig_10_11, a_eig_1_11
%
% This file is part of the ADiMat runtime environment
%
% Copyright 2012 Johannes Willkomm, Institute for Scientific Computing
% TU Darmsta... |
github | microsoft/ADBench-master | adimat_mldivide.m | .m | ADBench-master/submodules/adimat-0.6.2-5288/runtime/adimat_mldivide.m | 383 | utf_8 | 06e5fb1cdfe14b8dcad63e510a2a489b | % function z = adimat_mldivide(A, B)
%
% Model MATLAB's \ operator (mldivide), for automatic differentiation.
%
% Copyright 2013 Johannes Willkomm, Fachgebiet Scientific Computing
% TU Darmstadt
function z = adimat_mldivide(A, B)
if isscalar(A)
z = B ./ A;
else
z = linsolve(A, B);
end... |
github | microsoft/ADBench-master | admIsOctave.m | .m | ADBench-master/submodules/adimat-0.6.2-5288/runtime/admIsOctave.m | 560 | utf_8 | 9d75d665c98fc09507fd695aac8e8434 | % function [res vnum] = admIsOctave()
%
% Copyright 2013 Johannes Willkomm, Institute for Scientific Computing
% TU Darmstadt
% Copyright 2017 Johannes Willkomm
%
% This file is part of the ADiMat runtime environment.
%
function [res vnum] = admIsOctave(minVersion)
res = exist('octave_config_i... |
github | microsoft/ADBench-master | admMatMultV3.m | .m | ADBench-master/submodules/adimat-0.6.2-5288/runtime/admMatMultV3.m | 952 | utf_8 | 14c76307d6f300c9e01a082866934ddf | % function z = admMatMultV3(A, B)
%
% Multiply A * B for tensors, with the surplus dimension being the
% third.
%
% A and B may both be tensors, or just A, or just B.
%
% This function is a reference implementation to test the more
% efficient variants, admMatMultV3MT, admMatMultV3TM, and
% admMatMultV3TT.
%
% see also... |
github | microsoft/ADBench-master | adimat_a_mrdivider.m | .m | ADBench-master/submodules/adimat-0.6.2-5288/runtime/adimat_a_mrdivider.m | 601 | utf_8 | 13255149ef5cb95fac8938188030f053 | % function adj = adimat_a_mrdivider(divident, divisor, adj)
%
% This determines the adjoint of divisor in expr = divident / divisor
% where adj is the adjoint of expr.
%
% see also adimat_a_mldividel
%
% This file is part of the ADiMat runtime environment.
%
% Copyright 2010-2014 Johannes Willkomm
%
function adj = adim... |
github | microsoft/ADBench-master | adimat_xslt.m | .m | ADBench-master/submodules/adimat-0.6.2-5288/runtime/adimat_xslt.m | 805 | utf_8 | abb66428a1797455fa040d42d3c599ff | %
% function r = adimat_xslt(xsltProg, xsltMode?)
%
% get/set The XSLT processor used by the admproc program. The xsltProg
% is the name of the program to execute. xsltMode specifies the
% command line syntax. This latter currently has no effect.
%
% This feature is implemented by reading/setting the environment
% vari... |
github | microsoft/ADBench-master | a_eigs_1_11.m | .m | ADBench-master/submodules/adimat-0.6.2-5288/runtime/a_eigs_1_11.m | 619 | utf_8 | a1e5cbd7945e496304e69978dda80ae3 | % function a_A = a_eig_1_11(a_l, A)
%
% Compute adjoint of A in l = eig(A), given adjoint of l.
%
% see also a_eig_10_11, a_eig_01_11, a_eig_11_11
%
% This file is part of the ADiMat runtime environment
%
% Copyright 2012 Johannes Willkomm, Institute for Scientific Computing
% TU Darmstadt
function ... |
github | microsoft/ADBench-master | adimat_padarray.m | .m | ADBench-master/submodules/adimat-0.6.2-5288/runtime/adimat_padarray.m | 538 | utf_8 | 4aa5ca088bb24684c88796df4571ac8a | % function z = adimat_padarray(z, padcnt)
%
% Successively pad array z with padcnt(dim) slices of zeros along each
% dimension dim.
%
% This file is part of the ADiMat runtime environment
%
% Copyright 2013 Johannes Willkomm, Institute for Scientific Computing
% TU Darmstadt
function z = adimat_pada... |
github | microsoft/ADBench-master | a_adimat_fftconv2_2.m | .m | ADBench-master/submodules/adimat-0.6.2-5288/runtime/a_adimat_fftconv2_2.m | 14,382 | utf_8 | 629962e2efe92c15f6a43e4d0a2b3f6d | % Generated by ADiMat 0.6.2-5249 (10432437)
% © 2001-2008 Andre Vehreschild <vehreschild@sc.rwth-aachen.de>
% © 2009-2015 Johannes Willkomm <johannes@johannes-willkomm.de>
% TU Darmstadt, 64289 Darmstadt, Germany
% Visit us on the web at http://www.adimat.de/
% Report bugs to johannes@johannes-willkomm.de
%
% ... |
github | microsoft/ADBench-master | a_besseli.m | .m | ADBench-master/submodules/adimat-0.6.2-5288/runtime/a_besseli.m | 573 | utf_8 | 5b51c5839ad6e2cc65ea14c61941e5f6 | % function [adj] = a_besseli(adj, nu, x, opt?)
%
% compute the adjoint of x in z = besseli(nu, x, opt?), where adj is
% the adjoint of z.
%
% see also dpartial_besseli
%
% This file is part of the ADiMat runtime environment
%
% Copyright 2013 Johannes Willkomm, Fachgebiet Scientific Computing
% TU D... |
github | microsoft/ADBench-master | dpartial_asec.m | .m | ADBench-master/submodules/adimat-0.6.2-5288/runtime/dpartial_asec.m | 482 | utf_8 | 5dd29d7a3459fc1f90f353e12c12e60f | % function [dpartial y] = dpartial_asec(x)
%
% Compute partial derivative diagonal of y = asec(x).
%
% see also dpartial_exp.
%
% This file is part of the ADiMat runtime environment
%
% Copyright 2012 Johannes Willkomm, Fachgebiet Scientific Computing
% TU Darmstadt
function [dpartial y] = dpartial_... |
github | microsoft/ADBench-master | admMatMultV3MT.m | .m | ADBench-master/submodules/adimat-0.6.2-5288/runtime/admMatMultV3MT.m | 383 | utf_8 | 2ee873dca520ac5211e43082dd10caf7 | % function z = admMatMultV3(A, B)
%
% see also admMatMultV3
%
% Copyright (C) 2014 Johannes Willkomm
%
function Z = admMatMultV3MT(A, B)
% A is (m x n) matrix
% B is (n x p x k) tensor
szA = size(A);
szB = size(B);
Z = reshape( A * reshape(B, [szB(1), szB(2) .* size(B,3)]), [szA(1), szB(2), size(B,3)] );... |
github | microsoft/ADBench-master | a_adimat_hess_11.m | .m | ADBench-master/submodules/adimat-0.6.2-5288/runtime/a_adimat_hess_11.m | 18,286 | utf_8 | fbc968c0ddba14d027e7052a0165e13f | % Generated by ADiMat 0.5.9-3862
% © 2001-2008 Andre Vehreschild <vehreschild@sc.rwth-aachen.de>
% © 2009-2013 Johannes Willkomm <johannes.willkomm@sc.tu-darmstadt.de>
% RWTH Aachen University, 52056 Aachen, Germany
% TU Darmstadt, 64289 Darmstadt, Germany
% Visit us on the web at http://www.sc.informatik.tu-darmstadt.... |
github | microsoft/ADBench-master | a_eig22.m | .m | ADBench-master/submodules/adimat-0.6.2-5288/runtime/a_eig22.m | 547 | utf_8 | 1818bd12e80e2529d55e1eb530f86f9e | % function a_A = a_eig11(a_V, a_D, A)
%
% Compute adjoint of A in [V D] = eig(A), given adjoints of V and D.
%
% see also a_eig_01_11, a_eig_10_11, a_eig_1_11
%
% This file is part of the ADiMat runtime environment
%
% Copyright 2012 Johannes Willkomm, Institute for Scientific Computing
% TU Darmsta... |
github | microsoft/ADBench-master | d_adimat_sol_qr1.m | .m | ADBench-master/submodules/adimat-0.6.2-5288/runtime/d_adimat_sol_qr1.m | 4,587 | utf_8 | a6b4900b297be182931187d7a0b7e664 | % Generated by ADiMat 0.6.0-4867
% © 2001-2008 Andre Vehreschild <vehreschild@sc.rwth-aachen.de>
% © 2009-2013 Johannes Willkomm <johannes.willkomm@sc.tu-darmstadt.de>
% RWTH Aachen University, 52056 Aachen, Germany
% TU Darmstadt, 64289 Darmstadt, Germany
% Visit us on the web at http://www.adimat.de/
% Report bugs to... |
github | microsoft/ADBench-master | admLogLevel.m | .m | ADBench-master/submodules/adimat-0.6.2-5288/runtime/admLogLevel.m | 524 | utf_8 | 717bbc935906b83c4b9500d60896e35d | % function res = admLogLevel(lev)
%
% Set ADiMat logging level, which controls which ADiMat messages are
% printed. The function returns the current level. With one arg, set
% the new level.
%
% Copyright 2010,2011 Johannes Willkomm, Scientific Computing Group
% TU Darmstadt
function res = admLogLev... |
github | microsoft/ADBench-master | a_complex2.m | .m | ADBench-master/submodules/adimat-0.6.2-5288/runtime/a_complex2.m | 289 | utf_8 | 36664f8d9b1f3cb575e574ae5259209b | % function a_y = a_complex(x, y, a_z)
%
% Compute adjoint a_y of z = complex(x, y), where a_z is the adjoint of z.
%
% Copyright (c) 2016 Johannes Willkomm
function a_y = a_complex2(x, y, a_z)
a_y = adimat_adjred(y, -imag(a_z));
% $Id: a_complex2.m 5110 2016-05-29 22:03:20Z willkomm $
|
github | microsoft/ADBench-master | a_svd_010.m | .m | ADBench-master/submodules/adimat-0.6.2-5288/runtime/a_svd_010.m | 1,307 | utf_8 | 519e3dbca2f49e552be660a45ef5adbe | % function [adj U S V] = a_svd_010(adj, A)
%
% Compute adjoint of A in [ U S V ] = svd(A), given the adjoint of S.
%
% Using the method from Mike Giles, "An extended collection of matrix
% derivative results for forward and reverse mode algorithmic
% differentiation", 2008
%
% Copyright 2017 Johannes Willkomm
% Copyrig... |
github | microsoft/ADBench-master | admMakeSeedMatrixRev.m | .m | ADBench-master/submodules/adimat-0.6.2-5288/runtime/admMakeSeedMatrixRev.m | 746 | utf_8 | c2e160b56ea81b9afac1c61b840c0077 | % function [seedMatrix jPattern coloring] = ...
% admMakeSeedMatrixRev(seedMatrix, nCompInputs, admOpts)
%
% Copyright 2014 Johannes Willkomm
% Copyright 2011 Johannes Willkomm, Institute for Scientific Computing
% RWTH Aachen University
%
% This file is part of the ADiMat runtime environment.
... |
github | microsoft/ADBench-master | g_roots.m | .m | ADBench-master/submodules/adimat-0.6.2-5288/runtime/g_roots.m | 683 | utf_8 | 5875459dc52f805bffdd0c45fd33df98 | % function [g_r, r] = g_roots(g_c, c)
% Compute derivative of r = roots(c). Also return the
% function result r.
%
% Computation according to ansatz from Martin Bücker using implicit
% function theorom.
%
% see also partial_roots
%
% This file is part of the ADiMat runtime environment
%
% Copyright 2011-2012 H.Mart... |
github | microsoft/ADBench-master | admOptions.m | .m | ADBench-master/submodules/adimat-0.6.2-5288/runtime/admOptions.m | 14,655 | utf_8 | 3a4a1802ca91579b8668309eb922b321 | % function r = admOptions(mode, indeps, deps, flags)
%
% This function generates a structure whos fields control several
% aspects of the ADiMat differentiation functions. This structure can
% by passed as the last argument to the functions admDiffFor,
% admDiffVFor, admDiffRev, admDiffComplex, admDiffFD, and
% ad... |
github | microsoft/ADBench-master | g_eig.m | .m | ADBench-master/submodules/adimat-0.6.2-5288/runtime/g_eig.m | 286 | utf_8 | 12a6e04683054516ec2ec8f346060f34 | % function [g_l, l]= g_eig(g_A, A)
%
% This file is part of the ADiMat runtime environment
%
% Copyright (C) 2015 Johannes Willkomm
function [g_l, l]= g_eig(g_A, A)
[V D] = eig(A);
l = diag(D);
g_l = call(@diag, V \ (g_A * V));
% $Id: g_eig.m 4998 2015-05-18 16:21:55Z willkomm $
|
github | microsoft/ADBench-master | admMatMultV1.m | .m | ADBench-master/submodules/adimat-0.6.2-5288/runtime/admMatMultV1.m | 697 | utf_8 | 4f1933edecce85d99b601247846a7e48 | % function Z = admMatMultV1(A, B)
%
% Multiply A * B for tensors, with the surplus dimension being the
% first.
%
% A and B may both be tensors, or just A, or just B.
%
% This function is a reference implementation to test the more
% efficient variants, admMatMultV1MT, admMatMultV1TM, and
% admMatMultV1TT.
%
% see also... |
github | microsoft/ADBench-master | adimat_derivclass_version.m | .m | ADBench-master/submodules/adimat-0.6.2-5288/runtime/adimat_derivclass_version.m | 783 | utf_8 | bb7b810818d0a5ce66f7c80efda6c231 | % function [dcv dck] = adimat_derivclass_version()
% get the version and revision of the derivative class ADiMat
% dcv - derivative class version number: a double value
% dck - derivative class name and version string
%
% Copyright 2010 Johannes Willkomm, Institute for Scientific Computing
% ... |
github | microsoft/ADBench-master | a_adimat_norm1.m | .m | ADBench-master/submodules/adimat-0.6.2-5288/runtime/a_adimat_norm1.m | 91,250 | utf_8 | 92a316cb5831f9eafe0b8b4a75e8ac4b | % Generated by ADiMat 0.6.0-4867
% © 2001-2008 Andre Vehreschild <vehreschild@sc.rwth-aachen.de>
% © 2009-2013 Johannes Willkomm <johannes.willkomm@sc.tu-darmstadt.de>
% RWTH Aachen University, 52056 Aachen, Germany
% TU Darmstadt, 64289 Darmstadt, Germany
% Visit us on the web at http://www.adimat.de/
% Report bugs to... |
github | microsoft/ADBench-master | dpartial_pow2.m | .m | ADBench-master/submodules/adimat-0.6.2-5288/runtime/dpartial_pow2.m | 531 | utf_8 | 2e1346b3ce60d4570230cacd8a261f38 | % function [dpartial y] = partial_pow2(x)
%
% Compute partial derivative diagonal of y = pow2(x).
%
% This returns the diagonal of the partial derivative. The partial
% derivative matrix can be obtained by using diag(partial).
%
% This file is part of the ADiMat runtime environment
%
% Copyright 2012 Johannes Willkomm,... |
github | microsoft/ADBench-master | a_hypot1.m | .m | ADBench-master/submodules/adimat-0.6.2-5288/runtime/a_hypot1.m | 462 | utf_8 | 006fe72031613a230c5b64ffdd0bdf98 | % function [a_x] = a_hypot(a_z, x, y)
%
% Compute adjoint of x in z = hypot(x, y), given the adjoint of z.
%
% see also a_zeros, a_mean
%
% Copyright 2012 Johannes Willkomm, Institute for Scientific Computing
% TU Darmstadt
function [a_x z] = a_hypot(a_z, x, y)
% t = x.^2 + y.^2
% z = sqrt(t... |
github | microsoft/ADBench-master | a_sparse356.m | .m | ADBench-master/submodules/adimat-0.6.2-5288/runtime/a_sparse356.m | 497 | utf_8 | a6720714d25d02d518b3f46784cd0fcd | % function adj = a_sparse(adj, val)
%
% see also a_zeros, a_mean
%
% This file is part of the ADiMat runtime environment
%
% Copyright 2013 Johannes Willkomm, Institute for Scientific Computing
% TU Darmstadt
function adj = a_sparse356(adj, is, js, vals, m, n, nzmax)
if nargin < 5
m = max(is);... |
github | microsoft/ADBench-master | adimat_adjmultl.m | .m | ADBench-master/submodules/adimat-0.6.2-5288/runtime/adimat_adjmultl.m | 795 | utf_8 | e85f17267a75dc04c3b68f3d9988e907 | % function r = adimat_adjmultl(val, adj, factor)
%
% This determines the adjoint value of val in expr = val * factor
% where adj is the adjoint of expr.
%
% If val is a scalar return adimat_allsum(adj .* factor)
% otherwise return adj * factor'.
%
% see also adimat_adjmultm, adimat_adjmultr, adimat_adjred, adim... |
github | microsoft/ADBench-master | adimat_norm2.m | .m | ADBench-master/submodules/adimat-0.6.2-5288/runtime/adimat_norm2.m | 1,764 | utf_8 | 6690aef98149cf39a95dc9b4d1aea863 | % function [r] = adimat_norm2(x, p)
%
% Compute r = norm(x, p), for AD.
%
% Copyright 2013 Johannes Willkomm, Institute for Scientific Computing
% TU Darmstadt
function [r] = adimat_norm2(x, p)
% r = norm(x, p);
if ischar(p)
if strcmp(lower(p), 'fro')
r = sqrt(sum(x(:) .* co... |
github | microsoft/ADBench-master | adimat_sol_qr.m | .m | ADBench-master/submodules/adimat-0.6.2-5288/runtime/adimat_sol_qr.m | 570 | utf_8 | 77a3b165864242580a2a501a8d3064a3 | % function z = adimat_sol_qr(a, b)
%
% Solve linear system a*x = b for x by QR decomposition, for automatic
% differentiation.
%
% Copyright 2013,2014 Johannes Willkomm
%
function z = adimat_sol_qr(a, b)
[m n] = size(a);
if m < n
[q r] = qr(a');
r1 = r(1:m,:);
t = linsolve(r1, b, struct('UT', true, 'TR... |
github | microsoft/ADBench-master | a_interp1q.m | .m | ADBench-master/submodules/adimat-0.6.2-5288/runtime/a_interp1q.m | 498 | utf_8 | 7cb04081be0f7221a1b7f6eee9afefbf | % function adj = a_interp1q(adj, xs, ys, xis)
% compute adjoint of ys in interp1q(xs, ys, xis)
%
% see also a_zeros, a_sum
%
% This file is part of the ADiMat runtime environment
%
% Copyright 2013 Johannes Willkomm, Institute for Scientific Computing
% TU Darmstadt
function adj = a_interp1q(adj, ... |
github | microsoft/ADBench-master | admDiff.m | .m | ADBench-master/submodules/adimat-0.6.2-5288/runtime/admDiff.m | 4,738 | utf_8 | 76d348e119a34a414a66422a864c9018 | % function [Jacobian, varargout] = admDiff(handle, seedMatrix, arg1, arg2, ..., argN, admOptions?)
%
% Call either admDiffFor, admDiffRev or admDiffVFor depending on
% options.
%
% see also admDiffFor, admDiffRev, admDiffVFor
%
% This file is part of the ADiMat runtime environment.
%
% Copyright 2009,2010 Johannes Wi... |
github | microsoft/ADBench-master | adimat_min1.m | .m | ADBench-master/submodules/adimat-0.6.2-5288/runtime/adimat_min1.m | 542 | utf_8 | db8db4459687dce343de1f1b91baa524 | %
% function r = adimat_min1(val, adj)
% this determines the adjoint value of min(val),
% where the adjoint of val is given as parameter adj
%
% see also adimat_allsum, adimat_adjmultl, adimat_adjmultr
%
% This file is part of the ADiMat runtime environment
%
function r = adimat_min1(val, adj)
[mv, mi] = min(val... |
github | microsoft/ADBench-master | adimat_getleigvect.m | .m | ADBench-master/submodules/adimat-0.6.2-5288/runtime/adimat_getleigvect.m | 436 | utf_8 | 87a61c26d309764dc24d52060cbdfa3d | % function [L] = adimat_getleigvect(A, lambda, R)
%
% This file is part of the ADiMat runtime environment
%
% Copyright (C) 2015 Johannes Willkomm
function [L] = adimat_getleigvect(A, lambda, R)
neigs = 1;
tol = 1e-13;
[L Ds] = eigs(A.', neigs, lambda);
[closest, i] = min(diag(Ds) - lambda);
L = L(:,i).';
a... |
github | microsoft/ADBench-master | partial_cumsum.m | .m | ADBench-master/submodules/adimat-0.6.2-5288/runtime/partial_cumsum.m | 496 | utf_8 | de5a083672d9f1a8d185c6dcb2e03925 | % function z = partial_cumsum(arg...)
%
% Compute partial derivative of cumsum function
%
% see also cumsum
%
% Copyright (C) 2015 Johannes Willkomm
function J = partial_cumsum(X, dim)
if nargin < 2
dim = adimat_first_nonsingleton(X);
end
sz = size(X);
bef = prod(sz(1:dim-1));
aft = prod(sz(dim+1:end));
... |
github | microsoft/ADBench-master | admTaylorRev.m | .m | ADBench-master/submodules/adimat-0.6.2-5288/runtime/admTaylorRev.m | 9,756 | utf_8 | b32b155f81f5853742ea3124efb3f513 | % function [TCsRev, TCsFor, varargout] = admTaylorRev(handle, seedMatrix, varargin)
%
% Evaluate derivatives in forward-over-reverse mode, by running the RM
% differentiated code with the tseries class for univariate Taylor
% series in FM.
%
% see also admDiffRev, tseries, admOptions.
%
% This file is part of the ADiM... |
github | microsoft/ADBench-master | d_adimat_sol_triu.m | .m | ADBench-master/submodules/adimat-0.6.2-5288/runtime/d_adimat_sol_triu.m | 2,303 | utf_8 | 148e37f33f6bcfc6b9d9c748e7c06b12 | % Generated by ADiMat 0.6.0-4788
% © 2001-2008 Andre Vehreschild <vehreschild@sc.rwth-aachen.de>
% © 2009-2013 Johannes Willkomm <johannes.willkomm@sc.tu-darmstadt.de>
% RWTH Aachen University, 52056 Aachen, Germany
% TU Darmstadt, 64289 Darmstadt, Germany
% Visit us on the web at http://www.adimat.de/
% Report bugs to... |
github | microsoft/ADBench-master | a_logm.m | .m | ADBench-master/submodules/adimat-0.6.2-5288/runtime/a_logm.m | 448 | utf_8 | 07fc3446364d083d3f4529ad8a5e7fa4 | % function [a_x] = a_logm(a_z, x)
%
% Compute adjoint of x in z = logm(x), matrix logarithm, given the
% adjoint of z.
%
% This file is part of the ADiMat runtime environment.
%
% Copyright 2012 Johannes Willkomm, Institute for Scientific Computing
% TU Darmstadt
function [a_x] = a_logm(a_z, x)
[p... |
github | microsoft/ADBench-master | g_besselj.m | .m | ADBench-master/submodules/adimat-0.6.2-5288/runtime/g_besselj.m | 612 | utf_8 | 521afad68347dee65ded4c29a018d87a | % function [z, g_z] = g_besselj(nu, g_x, x, opt?)
%
% compute the derivative of z in z = besselj(nu, x, opt?), where g_x
% is the derivative of x.
%
% see also dpartial_besselj
%
% This file is part of the ADiMat runtime environment
%
% Copyright 2013 Johannes Willkomm, Fachgebiet Scientific Computing
% ... |
github | microsoft/ADBench-master | a_cross.m | .m | ADBench-master/submodules/adimat-0.6.2-5288/runtime/a_cross.m | 960 | utf_8 | d1f0b484928da4cb184076a1af4a4d57 | % function adj = a_cross(a_z, ind, a, b)
% when ind == 1, compute adjoint of a in z = cross(a, b)
% when ind == 2, compute adjoint of b in z = cross(a, b)
% where a_z is the adjoint of z.
%
% see also a_zeros, a_sum
%
% This file is part of the ADiMat runtime environment
%
% Copyright 2013 Johannes Willkomm, Institu... |
github | microsoft/ADBench-master | admHessianT2For.m | .m | ADBench-master/submodules/adimat-0.6.2-5288/runtime/admHessianT2For.m | 3,185 | utf_8 | a4715ad2c6a9eec5e9c0eeea713bcfe3 | % function [Hessian, Jac, f1, f2, ..., timings] = ...
% admHessian(handle, seedMatrix, arg1, arg2, ..., argN, admOptions?)
%
% Compute second order derivatives of function given by handle,
% evaluated at the arguments arg1, arg2, ..., argN and return the
% Hessian matrix. This works by running admOptions.admDiffFun... |
github | microsoft/ADBench-master | g_adimat_sol_triu.m | .m | ADBench-master/submodules/adimat-0.6.2-5288/runtime/g_adimat_sol_triu.m | 3,381 | utf_8 | 20f0a992e79784d1090240517e3c31fa | % Generated by ADiMat 0.6.0-4788
% Copyright 2009-2013 Johannes Willkomm, Fachgebiet Scientific Computing,
% TU Darmstadt, 64289 Darmstadt, Germany
% Copyright 2001-2008 Andre Vehreschild, Institute for Scientific Computing,
% RWTH Aachen University, 52056 Aachen, Germany.
% Visit us on the web at http://www.adimat.de
... |
github | microsoft/ADBench-master | admDiffFor2.m | .m | ADBench-master/submodules/adimat-0.6.2-5288/runtime/admDiffFor2.m | 5,577 | utf_8 | bfb3fb988be88225408af4cad02e171e | % function [Hessian, Jacobian, varargout] = admDiffFor2(handle, seedMatrix, arg1, arg2, ..., argN, admOptions?)
%
% see also admHessian, admDiffFor.
%
% This file is part of the ADiMat runtime environment.
%
% Copyright 2010,2011 Johannes Willkomm, Institute for Scientific Computing
% RWTH Aachen Un... |
github | microsoft/ADBench-master | admCanonFDMethodName.m | .m | ADBench-master/submodules/adimat-0.6.2-5288/runtime/admCanonFDMethodName.m | 879 | utf_8 | 74d0f48fcca39c9d98e67104eb376a20 | % function z = admCanonFDMethodName(meth)
%
% Canonicalize the alias names for the three FD methods central,
% forward, and backward.
%
% see also admDiffFD, admOptions.
%
% This file is part of the ADiMat runtime environment.
%
% Copyright 2010,2011 Johannes Willkomm, Institute for Scientific Computing
% ... |
github | microsoft/ADBench-master | a_eigs_11_31.m | .m | ADBench-master/submodules/adimat-0.6.2-5288/runtime/a_eigs_11_31.m | 679 | utf_8 | fdd639118c3d5a55d8964041e9b2a214 | % function a_A = a_eigs_11_31(a_U, a_D, A, k?, sigma?)
%
% Compute adjoint of A in [V D] = eig(A), given adjoints of V and D.
%
% This file is part of the ADiMat runtime environment
%
% Copyright (C) 2015 Johannes Willkomm
function a_A = a_eigs_11_31(a_U, a_D, A, varargin)
[V D U] = adimat_lreigs(A, varargin{:});
k... |
github | microsoft/ADBench-master | a_svd_011.m | .m | ADBench-master/submodules/adimat-0.6.2-5288/runtime/a_svd_011.m | 2,260 | utf_8 | 4119f02fe3a18f16aa16843497235fcc | % function [a_A U S V] = a_svd_011(a_S, a_V, A)
%
% Compute adjoint of A in [ U S V ] = svd(A), where a_S and a_V are
% the adjoints of S and V, resp.
%
% Using the method from Mike Giles, "An extended collection of matrix
% derivative results for forward and reverse mode algorithmic
% differentiation", 2008, adding in... |
github | microsoft/ADBench-master | mk_householder_elim_vec_lapack.m | .m | ADBench-master/submodules/adimat-0.6.2-5288/runtime/mk_householder_elim_vec_lapack.m | 1,002 | utf_8 | 6b4b9c042771d23f5986912bc3ceb7ba | % function [Pk u] = mk_householder_elim_vec_lapack(a, n)
%
% input: column vector a
% result: Householder matrix H = I - sigma u u'
%
% This computes H in LAPACK style [1], and thus also as Matlab and
% Octave do.
%
% [1] Lehoucq, Richard B, "The computation of elementary unitary matrices", 1996
%
% Copyright (C) 2013... |
github | microsoft/ADBench-master | a_ctranspose.m | .m | ADBench-master/submodules/adimat-0.6.2-5288/runtime/a_ctranspose.m | 715 | utf_8 | 8b67d44fa3f421ac4fe46f3deb7f68c5 | % function adj = a_ctranspose(adj, val)
%
% compute adjoint of val in z = ctranspose(val), where adj is the
% adjoint of z.
%
% see also a_zeros, a_sum
%
% This file is part of the ADiMat runtime environment
%
% Copyright 2013 Johannes Willkomm
%
function adj = a_ctranspose(adj, val)
% nz = val ~= 0;
% factor = ... |
github | microsoft/ADBench-master | adimat_a_mrdividel.m | .m | ADBench-master/submodules/adimat-0.6.2-5288/runtime/adimat_a_mrdividel.m | 574 | utf_8 | 5e180c4b3db016e448dbb63939228355 | % function adj = adimat_a_mrdividel(divident, divisor, adj)
%
% This determines the adjoint of divident in expr = divident / divisor
% where adj is the adjoint of expr.
%
% see also adimat_a_mldivider
%
% This file is part of the ADiMat runtime environment.
%
% Copyright 2010-2014 Johannes Willkomm
%
function adj = adi... |
github | microsoft/ADBench-master | a_fft.m | .m | ADBench-master/submodules/adimat-0.6.2-5288/runtime/a_fft.m | 1,013 | utf_8 | 1db52ac74d82746d0c95aa1d99645617 | % function adj = a_fft(adj, ind, a, n, dim)
%
% Compute adjoint of z = fft(x, n?, dim?).
%
% see also a_fft
%
% This file is part of the ADiMat runtime environment
%
% Copyright 2013 Johannes Willkomm, Institute for Scientific Computing
% TU Darmstadt
function adj = a_fft(adj, ind, a, n, dim)
if n... |
github | microsoft/ADBench-master | adimat_svd.m | .m | ADBench-master/submodules/adimat-0.6.2-5288/runtime/adimat_svd.m | 2,810 | utf_8 | 63fc2e7c24842cdfbab8cdad4ac7a32d | % function [U S V] = adimat_svd(A)
%
% Compute the SVD of matrix A with the algorithm from [1].
%
% [1] J. C. Nash and S. Shlien, "Simple Algorithms for the Partial
% Singular Value Decomposition", The Computer Journal, 1987.
%
% Copyright 2013 Johannes Willkomm
%
function [U S V] = adimat_svd(A)
[m n] = size(A);
... |
github | microsoft/ADBench-master | d_adimat_qr.m | .m | ADBench-master/submodules/adimat-0.6.2-5288/runtime/d_adimat_qr.m | 5,326 | utf_8 | 4d988ddb7502d7e5a90b7b1d5edff6fd | % Generated by ADiMat 0.6.0-4867
% © 2001-2008 Andre Vehreschild <vehreschild@sc.rwth-aachen.de>
% © 2009-2013 Johannes Willkomm <johannes.willkomm@sc.tu-darmstadt.de>
% RWTH Aachen University, 52056 Aachen, Germany
% TU Darmstadt, 64289 Darmstadt, Germany
% Visit us on the web at http://www.adimat.de/
% Report bugs to... |
github | microsoft/ADBench-master | dpartial_cscd.m | .m | ADBench-master/submodules/adimat-0.6.2-5288/runtime/dpartial_cscd.m | 447 | utf_8 | 39bc720c2de59a4ad4dc03b9a0817b14 | % function [dpartial y] = dpartial_cscd(x)
%
% Compute partial derivative diagonal of y = cscd(x).
%
% see also dpartial_exp.
%
% This file is part of the ADiMat runtime environment
%
% Copyright 2012 Johannes Willkomm, Fachgebiet Scientific Computing
% TU Darmstadt
function [dpartial y] = dpartial_... |
github | microsoft/ADBench-master | admMakeSeedMatrixFor.m | .m | ADBench-master/submodules/adimat-0.6.2-5288/runtime/admMakeSeedMatrixFor.m | 1,633 | utf_8 | c73e168352d5a7f3f0e40b4cead12d9a | % function [seedMatrix coloring jPattern] = ...
% admMakeSeedMatrixFor(seedMatrix, nCompInputs, admOpts)
%
% Copyright 2011 Johannes Willkomm, Institute for Scientific Computing
% RWTH Aachen University
%
% This file is part of the ADiMat runtime environment.
%
function [seedMatrix coloring jPa... |
github | microsoft/ADBench-master | admCompareOptions.m | .m | ADBench-master/submodules/adimat-0.6.2-5288/runtime/admCompareOptions.m | 1,017 | utf_8 | ab10eff3c85e8a0904eba8991dbc6081 | % function r = admCompareOptions(s1, s2)
%
% Compare ADiMat options structure: if different, re-transform the
% source. Thus this functions checks only those fields that may
% actually influence the transformation process.
%
% Copyright 2011 Johannes Willkomm, Institute for Scientific Computing
% ... |
github | microsoft/ADBench-master | dpartial_besselk.m | .m | ADBench-master/submodules/adimat-0.6.2-5288/runtime/dpartial_besselk.m | 984 | utf_8 | 83be59beb5302a91387e66170e0cf479 | % function [dz, z] = dpartial_besselk(nu, x, opt?)
%
% Compute partial derivative diagonal of z = besselk(nu, x, opt)
% w.r.t. x.
%
% This function uses Abramowitz and Stegun, 10th printing, 1972,
% p. 376, 9.6.26, fourth eq.
% cf. http://people.math.sfu.ca/~cbm/aands/page_376.htm
% or http://people.maths.ox.ac.uk/~mac... |
github | microsoft/ADBench-master | partial_interp1q.m | .m | ADBench-master/submodules/adimat-0.6.2-5288/runtime/partial_interp1q.m | 691 | utf_8 | 9cdaaae106f46fff56d3f2cdfd8c5569 | % function [partial z] = partial_interp1(xs, ys, xis, varargin)
% compute partial interp1(xs, ys, xis, ...) w.r.t. to ys
%
% This file is part of the ADiMat runtime environment
%
% Copyright 2013 Johannes Willkomm, Institute for Scientific Computing
% TU Darmstadt
function [partial z] = partial_in... |
github | microsoft/ADBench-master | dpartial_acsch.m | .m | ADBench-master/submodules/adimat-0.6.2-5288/runtime/dpartial_acsch.m | 486 | utf_8 | f50f9839db8137256bf8640ca775dbf6 | % function [dpartial y] = dpartial_acsch(x)
%
% Compute partial derivative diagonal of y = acsch(x).
%
% see also dpartial_exp.
%
% This file is part of the ADiMat runtime environment
%
% Copyright 2012 Johannes Willkomm, Fachgebiet Scientific Computing
% TU Darmstadt
function [dpartial y] = dpartia... |
github | microsoft/ADBench-master | adimat_hess.m | .m | ADBench-master/submodules/adimat-0.6.2-5288/runtime/adimat_hess.m | 692 | utf_8 | c46f08dc47ee371c82cad60f3b4745fa | % function [Q H] = adimat_hess(A)
%
% Compute Q and H such that H = Q' * A * Q and H is upper
% Hessenberg.
%
% This is ADiMat's replacement for the builtin function [Q H] =
% hess(A), to be used for AD.
%
% TODO: This function is for general matrices. There is a special
% algorithm in LAPACK for symmetric/hermitian m... |
github | microsoft/ADBench-master | adimat_first_nonsingleton.m | .m | ADBench-master/submodules/adimat-0.6.2-5288/runtime/adimat_first_nonsingleton.m | 371 | utf_8 | b2b02ab07a051af798cfadff0bb6f526 | % function res = adimat_first_nonsingleton(val)
%
% This file is part of the ADiMat runtime environment
%
% Copyright 2011,2013 Johannes Willkomm
function res = adimat_first_nonsingleton(val)
sz = size(val);
ind = find(sz ~= 1);
if length(ind) > 0
res = ind(1);
else
res = 1;
end
% $Id: adimat_first_n... |
github | microsoft/ADBench-master | partial_poly.m | .m | ADBench-master/submodules/adimat-0.6.2-5288/runtime/partial_poly.m | 643 | utf_8 | ef728660944736075b7520b03a6ff110 | % function [partial c] = partial_poly(r)
% Compute partial derivative of c = poly(r). Also return the
% function result c.
%
% see also g_poly, a_poly
%
% This file is part of the ADiMat runtime environment
%
% Copyright 2012 Johannes Willkomm, Institute for Scientific Computing
% RWTH Aachen Un... |
github | microsoft/ADBench-master | d_adimat_chol2.m | .m | ADBench-master/submodules/adimat-0.6.2-5288/runtime/d_adimat_chol2.m | 6,567 | utf_8 | 2a90f57cae12c4929f85ab6e367bdbbf | % Generated by ADiMat 0.6.0-4867
% © 2001-2008 Andre Vehreschild <vehreschild@sc.rwth-aachen.de>
% © 2009-2013 Johannes Willkomm <johannes.willkomm@sc.tu-darmstadt.de>
% RWTH Aachen University, 52056 Aachen, Germany
% TU Darmstadt, 64289 Darmstadt, Germany
% Visit us on the web at http://www.adimat.de/
% Report bugs to... |
github | microsoft/ADBench-master | adimat_push_index2.m | .m | ADBench-master/submodules/adimat-0.6.2-5288/runtime/adimat_push_index2.m | 621 | utf_8 | edb3595b82fe7e440b161554c5a1b043 | % function r = adimat_push_index2(arrayVar, index1, index2)
% Store values given by arrayVar(index1, ...) on the stack, if this
% indexing is possible. Otherwise the whole variables has to be
% saved, in order to restore it to previous size later.
%
% see also adimat_push, adimat_push_cell_index, adimat_pop_index... |
github | microsoft/ADBench-master | dpartial_besseli.m | .m | ADBench-master/submodules/adimat-0.6.2-5288/runtime/dpartial_besseli.m | 992 | utf_8 | 955c435322c60f29ccd667c73d1b5796 | % function [dz, z] = dpartial_besseli(nu, x, opt?)
%
% Compute partial derivative diagonal of z = besseli(nu, x, opt)
% w.r.t. x.
%
% This function uses Abramowitz and Stegun, 10th printing, 1972,
% p. 376, 9.6.26, fourth eq.
% cf. http://people.math.sfu.ca/~cbm/aands/page_376.htm
% or http://people.maths.ox.ac.uk/~mac... |
github | microsoft/ADBench-master | a_rmfield.m | .m | ADBench-master/submodules/adimat-0.6.2-5288/runtime/a_rmfield.m | 536 | utf_8 | 13cb6bc881e8ad6940eb3686657192e2 | %
% function adj = a_rmfield(adj, varargin)
% compute adjoint of rmfield(val, varargin{:})
%
% see also a_mean, a_repmat
%
% This file is part of the ADiMat runtime environment
%
function adj = a_rmfield(adj, val, names)
if iscell(names)
for i=1:length(names)
name = names{i};
for k=1:numel(val)
... |
github | microsoft/ADBench-master | adimat_prepad2.m | .m | ADBench-master/submodules/adimat-0.6.2-5288/runtime/adimat_prepad2.m | 236 | utf_8 | a1aabec3566d360fb86c8ae85608d01a | % function r = adimat_prepad(a,l,c)
%
% Mimic the function prepad, which is available in Octave, but not in MATLAB
%
% (c) 2018 Johannes Willkomm
function r = adimat_prepad2(a,l)
r = adimat_prepad(a,l,0,adimat_first_nonsingleton(a));
|
github | microsoft/ADBench-master | a_adimat_hess_10.m | .m | ADBench-master/submodules/adimat-0.6.2-5288/runtime/a_adimat_hess_10.m | 18,283 | utf_8 | f2d4325cee74df4dc0a071122ebb0451 | % Generated by ADiMat 0.5.9-3862
% © 2001-2008 Andre Vehreschild <vehreschild@sc.rwth-aachen.de>
% © 2009-2013 Johannes Willkomm <johannes.willkomm@sc.tu-darmstadt.de>
% RWTH Aachen University, 52056 Aachen, Germany
% TU Darmstadt, 64289 Darmstadt, Germany
% Visit us on the web at http://www.sc.informatik.tu-darmstadt.... |
github | microsoft/ADBench-master | adimat_g_trapz.m | .m | ADBench-master/submodules/adimat-0.6.2-5288/runtime/adimat_g_trapz.m | 776 | utf_8 | ccfd1d25c6834a83889cb56ccdb12397 | % function [g_z z] = adimat_g_trapz(g_a, a, g_b, b, c)
%
% Copyright (C) 2015 Johannes Willkomm
function [g_z z] = adimat_g_trapz(g_a, a, g_b, b, c)
if nargin == 2
% trapz(Y)
z = trapz(a);
J_Y = partial_trapz_Y(a);
g_z = J_Y * g_a(:);
elseif nargin == 4
z = trapz(a, b);
J_Y = partial_trapz_Y... |
github | microsoft/ADBench-master | adimat_allsum.m | .m | ADBench-master/submodules/adimat-0.6.2-5288/runtime/adimat_allsum.m | 469 | utf_8 | 8023122b7dce65224839d4edfb7f375c | % function r = adimat_allsum(obj)
%
% this function computes the sum of all values in obj
% if obj is a scalar return obj
% if obj is a vector return sum(obj)
% if obj is a matrix return sum(sum(obj))
%
% see also adimat_adjred, adimat_adjmultl, adimat_adjmultr
%
% This file is part of the ADiMat runtime enviro... |
github | microsoft/ADBench-master | a_interp3.m | .m | ADBench-master/submodules/adimat-0.6.2-5288/runtime/a_interp3.m | 585 | utf_8 | 6bc887e3456127558da4b0a47f201e27 | % function adj = a_interp3(adj, xs,ys,zs, v, xis,yis,zis, ...)
% compute adjoint of v in interp3(adj, xs,ys,zs, v, xis,yis,zis, ...)
%
% see also a_zeros, a_sum
%
% This file is part of the ADiMat runtime environment
%
% Copyright 2013 Johannes Willkomm, Institute for Scientific Computing
% TU Dar... |
github | microsoft/ADBench-master | adimat_aio_init.m | .m | ADBench-master/submodules/adimat-0.6.2-5288/runtime/adimat_aio_init.m | 2,296 | utf_8 | 20c38273550111698ea13542618c3466 | % function r = adimat_aio_init(nThreads?, nBuffers?, idleTime?, direct?)
%
% get/set some parameters of the aio.h API. This functionality is
% implemented by setting the environment variables AIO_THREADS,
% AIO_NUM, and AIO_IDLE_TIME, respectively. The variable's values are
% used to call the non standard function aio_... |
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