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view +noname/benchmark.m @ 1258:74eec7e69b63 feature/FMMlabb
Speed up computations using RungeKuttaSecondOrder when only the source term is time dependent.
author | Vidar Stiernström <vidar.stiernstrom@it.uu.se> |
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date | Fri, 13 Mar 2020 12:07:00 +0100 |
parents | 1fe783681f9f |
children |
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% animate(discretization, N, time_method) % % Example: % benchmark(discr,100) % benchmark(discr,1000,'rk4') function hand = benchmark(discretization,N ,time_method,do_profile) default_arg('N',100); default_arg('time_method',[]); default_arg('do_profile',true); fprintf('Creating time discretization'); tic ts = discretization.getTimestepper(time_method); fprintf(' - done %fs\n', toc()); if do_profile profile on end fprintf('Taking %d steps',N); tic; ts.stepN(N,true); fprintf(' - done %fs\n', toc()); if do_profile profile viewer end end