x = linprog(f,A,b,Aeq,beq) solves the problem above while additionally satisfying the equality constraints Aeq*x = beq. Set A=[] and b=[] if no inequalities exist.x = linprog(f,A,b,Aeq,beq,lb,ub) defines a set of lower and upper bounds on the design variables, x, so that ...
The error i am recieving is: Index exceeds the number of array elements. Index must not exceed 0. Error Line 39: disp(['Book 1: ', num2str(x(1))]); I bellive the issues might be occuring in: Line 34: options = optimoptions('linprog','Display','off'); or ...
https://cn.mathworks.com/matlabcentral/answers/104255-why-does-the-linprog-function-in-the-optimiza...
可能值的EXITFLAG和相应的退出条件 % 1 LINPROG converged to a solution X. 收敛到情况x % 0 Maximum number of iterations reached. % -2 No feasible point found. 最大迭代次数达到-2可行点。 % -3 Problem is unbounded. 问题是无限的 % -4 NaN value encountered during execution of algorithm. NaN...
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函数linprog 调用格式: x=linprog(f,A,b) x=linprog(f,A,b,Aeq,beq) x=linprog(f,A,b,Aeq,beq,lb,ub) x=linprog(f,A,b,Aeq,beq,lb,ub,x0) x=linprog(f,A,b,Aeq,beq,lb,ub,x0,options) [x,fval]=linprog(…) [x, fval, exitflag]=linprog(…) ...
[x,fval]=linprog(f,A,b,Aeq,beq,lb) f=fval*(-1) 2.2.6.2 x = 4.0000 2.0000 0.0000以下三个是松弛变量,例子1中没有计算出来 0.0000 4.0000 fval = -14.0000 f = 14.0000 2.3 2.3.1 (1)数据格式如下: (2)函数代码 function[x,fval]=MyLinprog(sDataPath) %从Excel读取数据,计算线性规划,返回结...
We can test this using linprog. 테마복사 linprog(ones(100,1),A,b) Problem is unbounded. ans = [] So if I ignore the bound constraints, it looks like there might conceivably be solutions. (Actually, I think there will not be any anyway, but that seems irrelevant...
[x,fval,exitflag,output,lambda]=linprog(f,A,b,[],[],lb,ub) 运行结果: Exiting: One or more of the residuals, duality gap, or total relative error has grown 100000 times greater than its minimum value so far: the primal appears to be infeasible (and the dual unbounded). (The dual ...
3. Matlab工具箱中的基本函数工具箱中的基本函数 在Matlab优化工具箱函数中,线性规划问题是通过函数 linprog 来解的。根据具体模型形式的不同或者要求的不同 7、调用函数的不同形式。具体调用格式如下:x= linprog( f,A,b ) 功能:功能:用来解最简单、最常用的模型:. .s tAxbminTxfx下面考虑一般形式的线性...