Unrecognized variable, want to create a list of variable

Question

Paul AGAMENNONE 2022-11-21

0
链接

此问题的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/1858528-unrecognized-variable-want-to-create-a-list-of-variable

编辑： Paul AGAMENNONE 2022-11-21

采纳的回答： Stephen23

在 MATLAB Online 中打开

Hello,

I'm trying to run an optimization model but I always get the error "Unrecognized function or variable 'c1_std'.

I want to call d = (c1_std, c2_std, c3_std) to run my optimization model and find the best parameters. How should I define d to call d(1)=c1_std in my different functions?

I'm not an expert in Matlab so please excuse me if my code is quite rude.

Thank you in advance.

Paul

muL = 2000;
sigL = 200;
R1 = 1-9.92*10^-5;
R2 = 1-1.2696*10^-4;
R3 = 1-3.87*10^-6;
d = [c1_std,c2_std,c3_std];
Sr1_min = sqrt(((((1.5-1)*muL)/norminv(R1))^2)-(sigL)^2);
Sr1_max = sqrt(((((2.5-1)*muL)/norminv(R1))^2)-(sigL)^2);
Sr2_min = sqrt(((((1.5-1)*muL)/norminv(R2))^2)-(sigL)^2);
Sr2_max = sqrt(((((2.5-1)*muL)/norminv(R2))^2)-(sigL)^2);
Sr3_min = sqrt(((((1.5-1)*muL)/norminv(R3))^2)-(sigL)^2);
Sr3_max = sqrt(((((2.5-1)*muL)/norminv(R3))^2)-(sigL)^2);
sqrt((((1.5-1)*muL)/norminv(R1)^2)-(sigL)^2)
norminv(R1)
lb = [Sr1_min,Sr2_min,Sr3_min];
ub = [Sr1_max,Sr2_max,Sr3_max];
A = [];
B = [];
Aeq = [];
Beq = [];
d0 = (lb+ub)/2;
fun = @(d) parameterfun(d,muL,sigL);
const = @(d) nonlcon(d,muL,sigL);
[d,fval] = fmincon(fun,d0,A,B,Aeq,Beq,lb,ub,const);
function Rs = parameterfun(d,muL,sigL)
muL = 2000;
sigL = 200;
R1 = 1-9.92*10^-5;
R2 = 1-1.2696*10^-4;
R3 = 1-3.87*10^-6;
d = [c1_std,c2_std,c3_std];
mu_Sr1 = muL+norminv(R1)*sqrt((sigL)^2+(d(1))^2);
mu_Sr2 = muL+norminv(R2)*sqrt((sigL)^2+(d(2))^2);
mu_Sr3 = muL+norminv(R3)*sqrt((sigL)^2+(d(3))^2);
Y1_mean = muL-mu_Sr1;
Y2_mean = muL-mu_Sr2;
Y3_mean = muL-mu_Sr3;
Y1_std = sqrt((d(1))^2+(sigL)^2);
Y2_std = sqrt((d(2))^2+(sigL)^2);
Y3_std = sqrt((d(3))^2+(sigL)^2);
Y_mean = [Y1_mean Y2_mean Y3_mean];
Y_std = [(Y1_std^2) (sigL)^2 (sigL)^2; (sigL)^2 (Y2_std)^2 (sigL)^2; (sigL)^2 (sigL)^2 (Y3_std)^2];
y = zeros(size(d));
Rs = mvncdf(y, Y_mean, Y_std);
end
function [c,ceq] = nonlcon(d,muL,sigL)
muL = 2000;
sigL = 200;
R1 = 1-9.92*10^-5;
R2 = 1-1.2696*10^-4;
R3 = 1-3.87*10^-6;
d = [c1_std,c2_std,c3_std];
c(1) = ns_min(1) - ((muL+norminv(R1)*sqrt((d(1)^2)+(L_std^2)))/muL);
c(2) = ns_min(2) - ((muL+norminv(R2)*sqrt((d(2)^2)+(L_std^2)))/muL);
c(3) = ns_min(3) - ((muL+norminv(R3)*sqrt((d(3)^2)+(L_std^2)))/muL);
c(4) = ((muL+norminv(R1)*sqrt((d(1)^2)+(L_std^2)))/muL) - ns_max(1);
c(5) = ((muL+norminv(R2)*sqrt((d(2)^2)+(L_std^2)))/muL) - ns_max(2);
c(6) = ((muL+norminv(R3)*sqrt((d(3)^2)+(L_std^2)))/muL) - ns_max(3);
c(7) = c_min(1) - (c1_std/((muL+norminv(R1)*sqrt((d(1)^2)+(L_std^2)))));
c(8) = c_min(2) - (c2_std/((muL+norminv(R2)*sqrt((d(2)^2)+(L_std^2)))));
c(9) = c_min(3) - (c3_std/((muL+norminv(R3)*sqrt((d(3)^2)+(L_std^2)))));
c(10) = (c1_std/((muL+norminv(R1)*sqrt((d(1)^2)+(L_std^2))))) - c_max(1);
c(11) = (c2_std/((muL+norminv(R2)*sqrt((d(2)^2)+(L_std^2))))) - c_max(2);
c(12) = (c3_std/((muL+norminv(R3)*sqrt((d(3)^2)+(L_std^2))))) - c_max(3);
format long
c
ceq = [];
end

2 个评论
显示无隐藏无

Jan 2022-11-21

在 MATLAB Online 中打开

In the line:

d = [c1_std,c2_std,c3_std];

neither Matlab nor the readers in the forum can guess, what c1_std, c2_std, c3_std is. What are these variables or functions? Where are they defined?

Paul AGAMENNONE 2022-11-21

编辑：Paul AGAMENNONE 2022-11-21

This is what the optimization model is supposed to search when it optimizes Rs.

Thus I don't know how to call them in my example

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Answer 1

Stephen23 2022-11-21

1
链接

此回答的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/1858528-unrecognized-variable-want-to-create-a-list-of-variable#answer_1107433

编辑：Stephen23 2022-11-21

在 MATLAB Online 中打开

The basic problem appears to be your attempt to re-define these parameters again inside every function, thus obliterating the input values. The simple solution is to define them only once and then pass them as input arguments:

https://www.mathworks.com/help/optim/ug/passing-extra-parameters.html

The d value seems to be what you are trying to optimize, so you should not specify any values for that, because the d values are provided by FMINCON.

muL = 2000;
sigL = 200;
R1 = 1-9.92*10^-5;
R2 = 1-1.2696*10^-4;
R3 = 1-3.87*10^-6;
Sr1_min = sqrt(((((1.5-1)*muL)/norminv(R1))^2)-(sigL)^2);
Sr1_max = sqrt(((((2.5-1)*muL)/norminv(R1))^2)-(sigL)^2);
Sr2_min = sqrt(((((1.5-1)*muL)/norminv(R2))^2)-(sigL)^2);
Sr2_max = sqrt(((((2.5-1)*muL)/norminv(R2))^2)-(sigL)^2);
Sr3_min = sqrt(((((1.5-1)*muL)/norminv(R3))^2)-(sigL)^2);
Sr3_max = sqrt(((((2.5-1)*muL)/norminv(R3))^2)-(sigL)^2);
lb = [Sr1_min,Sr2_min,Sr3_min];
ub = [Sr1_max,Sr2_max,Sr3_max];
A = [];
B = [];
Aeq = [];
Beq = [];
d0 = (lb+ub)/2;
fun = @(d) parameterfun(d,muL,sigL,R1,R2,R3);
const = @(d)    nonlcon(d,muL,sigL,R1,R2,R3);
[d,fval] = fmincon(fun,d0,A,B,Aeq,Beq,lb,ub,const)
Converged to an infeasible point.

fmincon stopped because the size of the current step is less than
the value of the step size tolerance but constraints are not
satisfied to within the value of the constraint tolerance.


Consider enabling the interior point method feasibility mode.
d = 1×3
  179.9441  186.3380  103.6089
fval = 0.9998

That works without error. Only you can check if it makes sense.

function Rs = parameterfun(d,muL,sigL,R1,R2,R3)
%
mu_Sr1 = muL+norminv(R1)*sqrt((sigL)^2+(d(1))^2);
mu_Sr2 = muL+norminv(R2)*sqrt((sigL)^2+(d(2))^2);
mu_Sr3 = muL+norminv(R3)*sqrt((sigL)^2+(d(3))^2);
%
Y1_mean = muL-mu_Sr1;
Y2_mean = muL-mu_Sr2;
Y3_mean = muL-mu_Sr3;
%
Y1_std = sqrt((d(1))^2+(sigL)^2);
Y2_std = sqrt((d(2))^2+(sigL)^2);
Y3_std = sqrt((d(3))^2+(sigL)^2);
%
Y_mean = [Y1_mean Y2_mean Y3_mean];
Y_std = [(Y1_std^2) (sigL)^2 (sigL)^2; (sigL)^2 (Y2_std)^2 (sigL)^2; (sigL)^2 (sigL)^2 (Y3_std)^2];
%
y = zeros(size(d));
Rs = mvncdf(y, Y_mean, Y_std);
%
end
function [c,ceq] = nonlcon(d,muL,sigL,R1,R2,R3)
%
% You did not define these, so I will presume all have value 1:
L_std = 1;
ns_min = ones(1,3);
ns_max = ones(1,3);
c_min = ones(1,3);
c_max = ones(1,3);
c1_std = 1;
c2_std = 1;
c3_std = 1;
%
c(1) = ns_min(1) - ((muL+norminv(R1)*sqrt((d(1)^2)+(L_std^2)))/muL);
c(2) = ns_min(2) - ((muL+norminv(R2)*sqrt((d(2)^2)+(L_std^2)))/muL);
c(3) = ns_min(3) - ((muL+norminv(R3)*sqrt((d(3)^2)+(L_std^2)))/muL);
c(4) = ((muL+norminv(R1)*sqrt((d(1)^2)+(L_std^2)))/muL) - ns_max(1);
c(5) = ((muL+norminv(R2)*sqrt((d(2)^2)+(L_std^2)))/muL) - ns_max(2);
c(6) = ((muL+norminv(R3)*sqrt((d(3)^2)+(L_std^2)))/muL) - ns_max(3);
c(7) = c_min(1) - (c1_std/((muL+norminv(R1)*sqrt((d(1)^2)+(L_std^2)))));
c(8) = c_min(2) - (c2_std/((muL+norminv(R2)*sqrt((d(2)^2)+(L_std^2)))));
c(9) = c_min(3) - (c3_std/((muL+norminv(R3)*sqrt((d(3)^2)+(L_std^2)))));
c(10) = (c1_std/((muL+norminv(R1)*sqrt((d(1)^2)+(L_std^2))))) - c_max(1);
c(11) = (c2_std/((muL+norminv(R2)*sqrt((d(2)^2)+(L_std^2))))) - c_max(2);
c(12) = (c3_std/((muL+norminv(R3)*sqrt((d(3)^2)+(L_std^2))))) - c_max(3);
%
ceq = [];
%
end