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Справка Scilab >> Optimization and Simulation > Optimization simplex > optimsimplex_shrink

# optimsimplex_shrink

Shrinks the simplex.

### Calling Sequence

```opt = optimsimplex_shrink(opt, fun, [sigma])
[opt, data] = optimsimplex_shrink(opt, fun, sigma, data)```

### Argument

opt

The current simplex object of TSIMPLEX type (tlist).

fun

The function to compute at vertices.

The `fun` function is expected to have the following input and output arguments:

`y = myfunction (x)`
sigma

The shrinkage coefficient (optional). The default value is 0.5.

data

User-defined data passed to the function (optional).

If `data` is provided, it is passed to the callback function both as an input and output argument. In that case, the function must have the following header :

`[y, data] = myfunction (x, data)`

The data input parameter may be used if the function uses some additional parameters. It is returned as an output parameter because the function may modify the data while computing the function value. This feature may be used, for example, to count the number of times that the function has been called.

### Description

The `optimsimplex_shrink` function shrinks the simplex with given coefficient sigma and returns an updated simplex. The shrink is performed with respect to the first point in the simplex.

### Example

```function y=rosenbrock(x)
y = 100*(x(2)-x(1)^2)^2 + (1-x(1))^2;
endfunction

s1 = optimsimplex_new ();
simplex = [
-12   0.    0.
0   1.    0.
0   0.    1.
];
s1 = optimsimplex_setall ( s1 , simplex );
s1 = optimsimplex_shrink ( s1 , rosenbrock );
res = optimsimplex_getall ( s1 );
disp(res)

s1 = optimsimplex_destroy(s1);```

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