Buckets:
| from sympy import * | |
| x, w, b = symbols('x w b') | |
| eq = x**2 + b*x + w**2 | |
| #s = solve(eq == 0, x) | |
| #u = expand(exp(s[1]), complex=True) | |
| #u = re(u) # im(u) | |
| # not smart enough for this: | |
| """ | |
| t = Symbol('t', real=True) | |
| w_tilde = Symbol('w_tilde', real=True) | |
| dt = Symbol('dt', real=True) | |
| B = exp(I*w_tilde*t) | |
| Q = (B.subs(t, t+dt) - 2*B + B.subs(t, t-dt)) | |
| print Q | |
| Q = expand(Q/B, complex=True) | |
| print Q | |
| Q = simplify(Q) | |
| print Q | |
| """ | |
| # Taylor series expansion of the numerical frequency | |
| dt, w, t, T = symbols('dt w t T') | |
| w_tilde_e = 2/dt*asin(w*dt/2) | |
| w_tilde_series = w_tilde_e.series(dt, 0, 4) | |
| print 'w_tilde series expansion:', w_tilde_series | |
| print 'Error in frequency, leading order term:', \ | |
| (w-w_tilde_series).as_leading_term(dt) | |
| # Get rid of O() term | |
| w_tilde_series = w_tilde_series.removeO() | |
| print 'w_tilde series without O() term:', w_tilde_series | |
| # The error mesh function (I=1) | |
| #u_e = cos(w*t) - cos(w_tilde_e*t) # problems with /dt around dt=0 | |
| error = cos(w*t) - cos(w_tilde_series*t) | |
| print 'The global error:', error | |
| print 'Series expansion of the global error:', error.series(dt, 0, 6) | |
| print 'Series expansion of the global error:', error | |
| error = error.series(dt, 0, 6).as_leading_term(dt) | |
| print 'Leading order of the global error:', error | |
| error_L2 = sqrt(integrate(error**2, (t, 0, T))) | |
| print error_L2 | |
| #print error_L2.series(dt, 0, 2) # break down | |
| """ | |
| error_L2 = simplify(error_L2.series(dt, 0, 4).as_leading_term(dt)) | |
| print 'L2 error:', error_L2 | |
| """ | |
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