opti_bintprog

Solve a BILP using an OPTI solver (e.g. GLPK). Note all variables are binary variables.

Syntax

x = opti_bintprog(f,A,b)

x = opti_bintprog(f,A,b,Aeq,beq)

x = opti_bintprog(f,A,b,Aeq,beq,x0)

[x,fval,exitflag,info,Opt] = opti_bintprog(f,A,b,Aeq,beq,x0,opts)

Description

x = opti_bintprog(f,A,b) solves the binary integer program with objective specified by f, subject to the linear inequality constraints A, b.

x = opti_bintprog(f,A,b,Aeq,beq) solves subject to the linear equality constraints, Aeq, beq.

x = opti_bintprog(f,A,b,Aeq,beq,x0) solves using the starting guess x0.

[x,fval,exitflag,info,Opt] = opti_bintprog(f,A,b,Aeq,beq,x0,opts) allows the user to specify additional options via opts, created from optiset. This includes being able to specify the solver used via the 'solver' field. Also returned is the function value at the solution, exitflag, plus information structure and internally created OPTI object.

Typical Use

This function is provided for users who are familiar with the Matlab Optimization Toolbox and its routines, and wish to experiment with OPTI toolbox routines without major code changes. It is suggested once you are familiar with the OPTI class and creating it, to use it explicitly rather than calling this function.