Quote:
引用第77楼solo独奏于2007-07-10 23:14发表的:
Aeq=[];beq=[];
e0=[0,0];e1=[inf,inf];
[x,fval]=linprog(c,A,b,Aeq,beq,e0,e1)
问一下Aeq,beq,e0,e1后四个参数是什么东西>>??
linprog solves linear programming problems. x = linprog(f,A,b) solves min f'*x such that A*x <= b. 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 solution is always in the range lb <= x <= ub. Set Aeq=[] and beq=[] if no equalities exist. x = linprog(f,A,b,Aeq,beq,lb,ub,x0) sets the starting point to x0. This option is only available with the medium-scale algorithm (the LargeScale parameter is set to 'off' using optimset). The default large-scale algorithm ignores any starting point. x = linprog(f,A,b,Aeq,beq,lb,ub,x0,options) minimizes with the optimization parameters specified in the structure options. Use optimset to set these parameters. [x,fval] = linprog(...) returns the value of the objective function fun at the solution x: fval = f'*x. [x,lambda,exitflag] = linprog(...) returns a value exitflag that describes the exit condition. [x,lambda,exitflag,output] = linprog(...) returns a structure output that contains information about the optimization. [x,fval,exitflag,output,lambda] = linprog(...) returns a structure lambda whose fields contain the Lagrange multipliers at the solution x.
