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See the recommended documentation of this function

# lmitool

Graphical tool for solving linear matrix inequations.

### Calling Sequence

```lmitool(filename)

txt=lmitool(probname,varlist,datalist)```

### Arguments

filename

a string referring to a `.sci` function

probname

a string containing the name of the problem

varlist

a string containing the names of the unknown matrices (separated by commas if there are more than one)

datalist

a string containing the names of data matrices (separated by commas if there are more than one)

txt

a string providing information on what the user should do next

### Description

`lmitool(filename)` is used to redefine interactively a LMI problem, `filename` must have been initially generated by `lmitool`. In the non interactive mode, `txt=lmitool(probname,varlist,datalist)` generates a file in the current directory. The name of this file is obtained by adding `.sci` to the end of `probname`. This file is the skeleton of a solver function and the corresponding evaluation function needed by `lmisolver`.

### Examples

```// Find diagonal matrix X (i.e. X = diag(diag(X), p=1) such that
//A1'*X+X*A1+Q1 < 0, A2'*X+X*A2+Q2 < 0 (q=2) and trace(X) is maximized

// Constants
rand("seed", 0);
n  = 2;
A1 = rand(n, n);
A2 = rand(n, n);
Xs = diag(1:n);
Q1 = -(A1'*Xs+Xs*A1+0.1*eye());
Q2 = -(A2'*Xs+Xs*A2+0.2*eye());

lmitool("prob", "X", "A1, A2"); // Create prob.sci
deletefile "prob.sci";
copyfile("SCI/modules/optimization/demos/prob_bak.sci", "prob.sci"); // Replace prob.sci by prob_bak.sci
exec("prob.sci", -1);

X = prob(A1, A2) // Run optimization, X = [1.0635042 0; 0 2.0784841]

[Y, Z, c] = prob_eval(X); // Check evaluaton function value at the point found
// Y = 0
// Z = list([0.0731600 0.7080179; 0.7080179 0.7186999], [0.1154910 0.5345239; 0.5345239 1.4843684])
// c = -1.0635042

deletefile "prob.sci"; // Delete created file```