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| author | Harpreet | 2016-08-31 11:10:22 +0530 |
|---|---|---|
| committer | Harpreet | 2016-08-31 11:10:22 +0530 |
| commit | d19794fb80a271a4c885ed90f97cfc12baa012f2 (patch) | |
| tree | ebcdc604cb1ee22debc888a1ec772be5c9161b26 /build/Scilab | |
| parent | e4fe6bdb7023464e750f882e19b393d3073365a2 (diff) | |
| download | FOSSEE-Optim-toolbox-development-d19794fb80a271a4c885ed90f97cfc12baa012f2.tar.gz FOSSEE-Optim-toolbox-development-d19794fb80a271a4c885ed90f97cfc12baa012f2.tar.bz2 FOSSEE-Optim-toolbox-development-d19794fb80a271a4c885ed90f97cfc12baa012f2.zip | |
intfminimax examples added
Diffstat (limited to 'build/Scilab')
| -rw-r--r-- | build/Scilab/intfminimax.sci | 29 |
1 files changed, 16 insertions, 13 deletions
diff --git a/build/Scilab/intfminimax.sci b/build/Scilab/intfminimax.sci index 2b51fd5..0fb66c3 100644 --- a/build/Scilab/intfminimax.sci +++ b/build/Scilab/intfminimax.sci @@ -9,7 +9,7 @@ // Organization: FOSSEE, IIT Bombay // Email: toolbox@scilab.in -function [x,fval,maxfval,exitflag,output,lambda] = intfminimax(varargin) +function [x,fval,maxfval,exitflag] = intfminimax(varargin) // Solves minimax constraint problem // // Calling Sequence @@ -22,8 +22,6 @@ function [x,fval,maxfval,exitflag,output,lambda] = intfminimax(varargin) // [xopt, fval] = intfminimax(.....) // [xopt, fval, maxfval]= intfminimax(.....) // [xopt, fval, maxfval, exitflag]= intfminimax(.....) - // [xopt, fval, maxfval, exitflag, output]= intfminimax(.....) - // [xopt, fval, maxfval, exitflag, output, lambda]= intfminimax(.....) // // Parameters // fun: The function to be minimized. fun is a function that accepts a vector x and returns a vector F, the objective functions evaluated at x. @@ -122,7 +120,7 @@ function [x,fval,maxfval,exitflag,output,lambda] = intfminimax(varargin) // intcon = [1] // maxfopt = 0 // // Run fminimax - // [x,fval,maxfval,exitflag,output,lambda] = fminimax(myfun, x0,intcon) + // [x,fval,maxfval,exitflag] = intfminimax(myfun, x0,intcon) // // Press ENTER to continue // // Examples @@ -154,8 +152,7 @@ function [x,fval,maxfval,exitflag,output,lambda] = intfminimax(varargin) // x0 = [0,10]; // intcon = [2] // // Run intfminimax - // [x,fval,maxfval,exitflag,output] = intfminimax(myfun,x0,intcon,[],[],[],[],[],[], confun, minimaxOptions) - // + // [x,fval,maxfval,exitflag] = intfminimax(myfun,x0,intcon,[],[],[],[],[],[], confun, minimaxOptions) // Authors // Harpreet Singh @@ -271,8 +268,9 @@ function [x,fval,maxfval,exitflag,output,lambda] = intfminimax(varargin) else minmaxNonlinfun = varargin(10) end - - Checktype("fminimax", minmaxNonlinfun, "nonlinfun", 10, "function") + if(minmaxNonlinfun<>[]) then + Checktype("fminimax", minmaxNonlinfun, "nonlinfun", 10, "function") + end //To check, Whether minimaxOptions is been entered by user if ( minmaxRhs<11 ) then @@ -415,7 +413,11 @@ minmaxoptions = list('integertolerance',1d-06,'maxnodes',2147483647,'cputime',1d function [nc,nceq,dnc,dnceq] = newNonlinfun(z) dnc = []; dnceq = []; - [nc,nceq] = minmaxNonlinfun(z) + nc = []; + nceq= []; + if (minmaxNonlinfun<>[]) then + [nc,nceq] = minmaxNonlinfun(z) + end // add inequalities of the form Fi(x) - y <= 0 tmp = [minmaxObjfun(z) - z(minmaxNumvar+1)]' nc = [nc, tmp] @@ -425,7 +427,9 @@ minmaxoptions = list('integertolerance',1d-06,'maxnodes',2147483647,'cputime',1d dnceq = [dnceq, zeros(size(dnceq,'r'),1)] else // else use numderivative method to calculate gradient of constraints - [dnc, dnceq] = minmaxNonlinDer(z) + if (minmaxNonlinfun<>[]) then + [dnc, dnceq] = minmaxNonlinDer(z) + end end if(options(12) =="on") then @@ -443,12 +447,11 @@ minmaxoptions = list('integertolerance',1d-06,'maxnodes',2147483647,'cputime',1d options(14)="on"; end - options(12)="off"; - + minmaxoptions(12)="off"; [x,fval,exitflag,gradient,hessian] = ... intfmincon(newObjfun,minmaxStartpoint,intcon,minmaxA,minmaxB,minmaxAeq,minmaxBeq,minmaxLb,minmaxUb,newNonlinfun,minmaxoptions) x = x(1:minmaxNumvar) - fval = minmaxObjun(x) + fval = minmaxObjfun(x) maxfval = max(fval) endfunction |