代码搜索:performs

找到约 4,693 项符合「performs」的源代码

代码结果 4,693
www.eeworm.com/read/431855/8648999

m heuristicxover.m

function [c1,c2] = heuristicXover(p1,p2,bounds,Ops) % Heuristic crossover takes two parents P1,P2 and performs an extrapolation % along the line formed by the two parents outward in the direction of t
www.eeworm.com/read/429682/8795391

m heuristicxover.m

function [c1,c2] = heuristicXover(p1,p2,bounds,Ops) % Heuristic crossover takes two parents P1,P2 and performs an extrapolation % along the line formed by the two parents outward in the direction of t
www.eeworm.com/read/186716/8914477

m exp5_c6.m

function [out] = exp5_c6(power) % EXP5_C6 ..... Experiment 5 step C6. % % EXP5_C6( POWER ) performs the procedure outlined in step C6 of % experiment at the POWER level and returns the followi
www.eeworm.com/read/427260/8955673

m heuristicxover.m

function [c1,c2] = heuristicXover(p1,p2,bounds,Ops) % Heuristic crossover takes two parents P1,P2 and performs an extrapolation % along the line formed by the two parents outward in the direction of t
www.eeworm.com/read/426833/8996517

m ghmap2.m

function b=ghmap2(a) %GHMAP2 Single-level discrete 2-D multi-wavelet transform. % GHM performs a single-level 2-D multiwavelet decomposition % using GHM multiwavelet with four multi-filters %
www.eeworm.com/read/184948/9064053

m bayes_k_nn.m

function [pred, mc, beta_store, k_store, lik_store] = ... bayes_k_nn(data,test,q,costs,its,burn_in,weighted); % % Performs Weighted/Non-weighted Bayesian K - Nearest Neighbour model % using q s
www.eeworm.com/read/381017/9115174

m dd2m.m

function [xhat_data,Smat]=dd2m(kalmfilex,kalmfiley,xbar,P0,q,r,u,y,timeidx,optpar) % DD2M % This function performs a DD2-filtering; a state estimation for % nonlinear systems that is based on s
www.eeworm.com/read/380138/9160597

m heuristicxover.m

function [c1,c2] = heuristicXover(p1,p2,bounds,Ops) % Heuristic crossover takes two parents P1,P2 and performs an extrapolation % along the line formed by the two parents outward in the direction of t
www.eeworm.com/read/183070/9179529

m dd2m.m

function [xhat_data,Smat]=dd2m(kalmfilex,kalmfiley,xbar,P0,q,r,u,y,timeidx,optpar) % DD2M % This function performs a DD2-filtering; a state estimation for % nonlinear systems that is based on s
www.eeworm.com/read/377925/9257612

m heuristicxover.m

function [c1,c2] = heuristicXover(p1,p2,bounds,Ops) % Heuristic crossover takes two parents P1,P2 and performs an extrapolation % along the line formed by the two parents outward in the direction of t