灵敏度分析matlab代码
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2023-05-26
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实验二、线性规划的灵敏度分析
（一） 实验目的
1. 线性规划求解的单纯形法的灵敏度分析的编程实现
2．掌握使用 matlab、Lingo、Excel 的规划求解功能求解，并利用“敏感性报告”进行
分析。
（二）实验内容
课本例 1 解的灵敏度分析
（1）：调用单纯形程序：
function [x,z,flg,sgma]=simplexfun(A,A1,b,c,m,n,n1,cb,xx)
% A,b are the matric in A*x=b
% c is the matrix in max z=c*x
% A1 is the matric in simplex table
% m is the numbers of row in A and n is the con number in A
% n1 is the nubers of artificial variables,and artificial variables are default as the last % n1
variables in x.
% cb is the worth coefficient matrix for basic variables
% xx is the index matrix for basic variables
% B1 is the invers matrix for the basic matrix in simplex table.The initial
% matrix is default as the last m con in the matrix A.
x=zeros(n,1);
z=0;
B1=A1(:,n-m+1:n);
sgma1=c-(cb*B1)*A;
[masg,kk]=max(sgma1);
k=kk(1);
flg=0;
ll=0;
while (masg>0)&&(ll<20)
ll=ll+1;
thita=1000+zeros(m,1);
for i=1:m
if A1(i,k)>0
thita(i)=A1(i,k)(i);
end
end
[r8,c8]=find(thita>999);
if sum(c8)<m
[mith,rr]=min(thita);
r=rr(1);
aa=A1(r,k);
for i=1:m
if i==r
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