From a0d9443af147e949c1e6a01ac24749d12593ec5b Mon Sep 17 00:00:00 2001 From: Harpreet Date: Sat, 3 Sep 2016 00:36:51 +0530 Subject: cbcintlinprog added --- .../help/en_US/scilab_en_US_help/intfminbnd.html | 170 --------------------- 1 file changed, 170 deletions(-) delete mode 100644 newstructure/help/en_US/scilab_en_US_help/intfminbnd.html (limited to 'newstructure/help/en_US/scilab_en_US_help/intfminbnd.html') diff --git a/newstructure/help/en_US/scilab_en_US_help/intfminbnd.html b/newstructure/help/en_US/scilab_en_US_help/intfminbnd.html deleted file mode 100644 index c9dd359..0000000 --- a/newstructure/help/en_US/scilab_en_US_help/intfminbnd.html +++ /dev/null @@ -1,170 +0,0 @@ - - - intfminbnd - - - -
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- << cbcintlinprog - - - FOSSEE Optimization Toolbox - - - intfmincon >> - -
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- - - - FOSSEE Optimization Toolbox >> FOSSEE Optimization Toolbox > intfminbnd - -

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intfminbnd

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Solves a multi-variable optimization problem on a bounded interval

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Calling Sequence

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xopt = intfminbnd(f,intcon,x1,x2)
-xopt = intfminbnd(f,intcon,x1,x2,options)
-[xopt,fopt] = intfminbnd(.....)
-[xopt,fopt,exitflag]= intfminbnd(.....)
-[xopt,fopt,exitflag,output]=intfminbnd(.....)
-[xopt,fopt,exitflag,gradient,hessian]=intfminbnd(.....)
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Parameters

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f : -

a function, representing the objective function of the problem

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x1 : -

a vector, containing the lower bound of the variables.

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x2 : -

a vector, containing the upper bound of the variables.

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intcon : -

a vector of integers, represents which variables are constrained to be integers

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options : -

a list, containing the option for user to specify. See below for details.

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xopt : -

a vector of doubles, containing the the computed solution of the optimization problem.

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fopt : -

a scalar of double, containing the the function value at x.

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exitflag : -

a scalar of integer, containing the flag which denotes the reason for termination of algorithm. See below for details.

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gradient : -

a vector of doubles, containing the Objective's gradient of the solution.

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hessian : -

a matrix of doubles, containing the Objective's hessian of the solution.

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Description

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Search the minimum of a multi-variable function on bounded interval specified by : -Find the minimum of f(x) such that

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The routine calls Bonmin for solving the Bounded Optimization problem, Bonmin is a library written in C++.

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The options allows the user to set various parameters of the Optimization problem. -It should be defined as type "list" and contains the following fields. -

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The exitflag allows to know the status of the optimization which is given back by Ipopt. -

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For more details on exitflag see the Bonmin documentation, go to http://www.coin-or.org/Bonmin

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Examples

- 
//Find x in R^6 such that it minimizes:
-//f(x)= sin(x1) + sin(x2) + sin(x3) + sin(x4) + sin(x5) + sin(x6)
-//-2 <= x1,x2,x3,x4,x5,x6 <= 2
-//Objective function to be minimised
-function y=f(x)
-y=0
-for i =1:6
-y=y+sin(x(i));
-end
-endfunction
-//Variable bounds
-x1 = [-2, -2, -2, -2, -2, -2];
-x2 = [2, 2, 2, 2, 2, 2];
-intcon = [2 3 4]
-//Options
-options=list("MaxIter",[1500],"CpuTime", [100])
-[x,fval] =intfminbnd(f ,intcon, x1, x2, options)
-// Press ENTER to continue
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Examples

- 
//Find x in R such that it minimizes:
-//f(x)= 1/x^2
-//0 <= x <= 1000
-//Objective function to be minimised
-function y=f(x)
-y=1/x^2;
-endfunction
-//Variable bounds
-x1 = [0];
-x2 = [1000];
-intcon = [1];
-[x,fval,exitflag,output,lambda] =intfminbnd(f,intcon , x1, x2)
-// Press ENTER to continue
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Examples

- 
//The below problem is an unbounded problem:
-//Find x in R^2 such that it minimizes:
-//f(x)= -[(x1-1)^2 + (x2-1)^2]
-//-inf <= x1,x2 <= inf
-//Objective function to be minimised
-function y=f(x)
-y=-((x(1)-1)^2+(x(2)-1)^2);
-endfunction
-//Variable bounds
-x1 = [-%inf , -%inf];
-x2 = [ %inf , %inf];
-//Options
-options=list("MaxIter",[1500],"CpuTime", [100])
-[x,fval,exitflag,output,lambda] =intfminbnd(f,intcon, x1, x2, options)
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Authors

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