Scilab 6.0.2
- Scilab Help
- Optimization and Simulation
- Optimization base
- optimbase_cget
- optimbase_checkbounds
- optimbase_checkcostfun
- optimbase_checkx0
- optimbase_configure
- optimbase_destroy
- optimbase_function
- optimbase_get
- optimbase_hasbounds
- optimbase_hasconstraints
- optimbase_hasnlcons
- optimbase_histget
- optimbase_histset
- optimbase_incriter
- optimbase_isfeasible
- optimbase_isinbounds
- optimbase_isinnonlincons
- optimbase_log
- optimbase_new
- optimbase_outputcmd
- optimbase_outstruct
- overview
- optimbase_proj2bnds
- optimbase_set
- optimbase_stoplog
- optimbase_terminate
Please note that the recommended version of Scilab is 2025.0.0. This page might be outdated.
See the recommended documentation of this function
optimbase_isinnonlincons
Checks if the given point satisfies the non-linear constraints.
Syntax
[opt, isfeasible] = optimbase_isinnonlincons(opt, x)
Argument
- opt
The object of TOPTIM type (tlist).
- x
A vector of doubles, the current point.
- isfeasible
A boolean.
Description
The optimbase_isinnonlincons function returns isfeasible
%t if the given point satisfies the non-linear constraints.
%f if the given point does not satisfy the non-linear constraints.
Example
opt = optimbase_new (); opt = optimbase_configure(opt,"-numberofvariables",2); opt = optimbase_configure(opt,"-verbose",1); opt = optimbase_configure ( opt , "-boundsmin" , [-5.0 -5.0] ); opt = optimbase_configure ( opt , "-boundsmax" , [5.0 5.0] ); [ opt , isfeasible ] = optimbase_isinnonlincons ( opt , [0.0 0.0] ); disp(isfeasible) opt = optimbase_destroy(opt);
See also
- optimbase_checkbounds — Checks the bounds.
- optimbase_hasnlcons — Checks if the non linear constraints are specified.
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