- Scilabヘルプ
 - Optimization and Simulation
 - Optimization simplex
 - optimsimplex_center
 - optimsimplex_check
 - optimsimplex_compsomefv
 - optimsimplex_computefv
 - optimsimplex_deltafv
 - optimsimplex_deltafvmax
 - optimsimplex_destroy
 - optimsimplex_dirmat
 - optimsimplex_fvmean
 - optimsimplex_fvstdev
 - optimsimplex_fvvariance
 - optimsimplex_getall
 - optimsimplex_getallfv
 - optimsimplex_getallx
 - optimsimplex_getfv
 - optimsimplex_getn
 - optimsimplex_getnbve
 - optimsimplex_getve
 - optimsimplex_getx
 - optimsimplex_gradientfv
 - optimsimplex_new
 - overview
 - optimsimplex_reflect
 - optimsimplex_setall
 - optimsimplex_setallfv
 - optimsimplex_setallx
 - optimsimplex_setfv
 - optimsimplex_setn
 - optimsimplex_setnbve
 - optimsimplex_setve
 - optimsimplex_setx
 - optimsimplex_shrink
 - optimsimplex_size
 - optimsimplex_sort
 - optimsimplex_xbar
 
Please note that the recommended version of Scilab is 2026.0.0. This page might be outdated.
See the recommended documentation of this function
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
funfunction 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
datais 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);
See Also
- optimsimplex_new — Creates a new simplex object.
 
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