代码搜索:Problem

找到约 10,000 项符合「Problem」的源代码

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m hungarian.m

function [C,T]=hungarian(A) %HUNGARIAN Solve the Assignment problem using the Hungarian method. % %[C,T]=hungarian(A) %A - a square cost matrix. %C - the optimal assignment. %T - the cost of the
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m il4_8fun.m

% The function needed in Illustrative Problem 8, Chapter 4. function f=il4_8fun(x,p) f=1/sqrt(2*pi)*exp((-(x-p).^2)/2).*log2(2./(1+exp(-2*x.*p)));
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m ip_04_04.m

% MATLAB script for Illustrative Problem 4, Chapter 4. a=[-10,-5,-4,-2,0,1,3,5,10]; for i=1:length(a)-1 y(i)=centroid('normal',a(i),a(i+1),0.001,0,1); end
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m ip_01_01.m

% MATLAB script for Illustrative Problem 1, Chapter 1. n=[-20:1:20]; x=abs(sinc(n/2)); stem(n,x);
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m ip_01_01.m

% MATLAB script for Illustrative Problem 1, Chapter 1. n=[-20:1:20]; x=abs(sinc(n/2)); stem(n,x);
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m ip_07_11.m

% MATLAB script for Illustrative Problem 11, Chapter 7 echo on num=[0.01 1]; den=[1 1.01 1]; [a,b,c,d]=tf2ss(num,den); dt=0.01; u=ones(1,2000); x=zeros(2,2001); for i=1:2000 x(:,i+1)=x(:,i)
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m coggins.m

function [stepsize,xo,Ot,nS]=coggins(S,x0,d,ip,problem,tol,mxit,stp) % Performs line search procedure for unconstrained optimization % using quadratic interpolation. % % [stepsize,xo,Ot,nS]=
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m powell.m

function [xo,Ot,nS]=powell(S,x0,ip,method,Lb,Ub,problem,tol,mxit) % Unconstrained optimization using Powell. % % [xo,Ot,nS]=powell(S,x0,ip,method,Lb,Ub,problem,tol,mxit) % % S: objective fu
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c init.c

#include #include #include #include #include "datadef.h" /*------------------------------------------------------------------*/ /* Reading the Input paramete
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c boundary.c

#include #include #include "datadef.h" /*-----------------------------------------------------------------*/ /* Setting the boundary conditions at the boundary strip. */