代码搜索：Problem
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www.eeworm.com/read/198173/7948850
txt travelingsalesmanproblemwithgeneticalgorithm .txt
function varargout = tsp_ga(varargin)
%TSP_GA Finds a (near) optimal solution to the Traveling Salesman Problem (TSP)
% by setting up a Genetic Algorithm (GA) to search for the shortest
%
www.eeworm.com/read/397111/8067074
m dd_ex1.m
% DD_EX1
%
% Example of the creation of a One-Class problem, and the solutions
% obtained by the Nearest Neighbor Data Description and the Support
% Vector Data Description. Furthermore, the ROC curve
www.eeworm.com/read/397097/8069154
m dd_example.m
% DD_EXAMPLE
%
% Example of the creation of a One-Class problem, and the solutions
% obtained by the Nearest Neighbor Data Description and the Support
% Vector Data Description.
% Copyright: D. Tax,
www.eeworm.com/read/247181/12675780
m replay.m
function replay(mesh,times,solv,sole,step,filename)
% Rendering of nodal/edge element solution for
% transient Maxwell problem in a cavity
N = length(times);
if (nargin < 6), filename = []; end;
if (
www.eeworm.com/read/145776/12703029
m afqrrls2.m
%AFQRRLS2 Problem 1.1.1.2.10
%
% 'ifile.mat' - input file containing:
% I - members of ensemble
% K - iterations
% a1 - coefficient of input AR process
% sigmax - standar
www.eeworm.com/read/145776/12703032
m fqrrls3.m
%FQRRLS3T Problem 3.4
%
% 'ifile.mat' - input file containing:
% I - members of ensemble
% K - iterations
% s - deterministic part of signal to predict
% sigman - standar
www.eeworm.com/read/145776/12703039
m fqrrls2.m
%FQRRLS2 Problem 1.1.1.2.9
%
% 'ifile.mat' - input file containing:
% I - members of ensemble
% K - iterations
% a1 - coefficient of input AR process
% sigmax - standard
www.eeworm.com/read/145776/12703059
m rls5.m
%RLS5 Problem 4.5
%
% 'ifile.mat' - input file containing:
% I - members of ensemble
% K - iterations
% s - deterministic part of reference signal
% sigman - standard dev
www.eeworm.com/read/145776/12703063
m sfrls3.m
%SFRLS3 Problem 2.3
%
% 'ifile.mat' - input file containing:
% K - iterations
% H - FIR channel
% Neq - equalizer order
% sigman - standard deviation of measurement noise
www.eeworm.com/read/145776/12703079
m se1.m
%SE1 Problem 3.1
%
% 'ifile.mat' - input file containing:
% I - members of ensemble
% K - iterations
% s - deterministic part of signal to predict
% sigman - standard dev