FMINCON
Examples of Constrained Minimization using FMINCON

FMINCON is a function included in MATLAB's Optimization Toolbox which seeks the minimizer of a scalar function of multiple variables, within a region specified by linear constraints and bounds.

A related function built into MATLAB is fminsearch which minimizes a scalar function of several variables using the Nelder-Mead algorithm.

Usage:

x_opt = fmincon ( fun, x0, A, b, Aeq, beq, lb, ub )

• fun is the "function handle"; that is, the name of an M-file that defines the function, preceded by an "@" sign;
• x0 is an initial value for the optimizer;
• A, b define a linear inequality constraint A * x <= b on the solution.
• Aeq, beq define a linear equality constraint Aeq * x = beq on the solution.
• lb, ub define bounds on the solution, lb <= x <= ub.

Licensing:

The computer code and data files described and made available on this web page are distributed under the GNU LGPL license.

Related Data and Programs:

ASA047, a MATLAB library which minimizes a scalar function of several variables using the Nelder-Mead algorithm.

COMPASS_SEARCH, a MATLAB library which seeks the minimizer of a scalar function of several variables using compass search, a direct search algorithm that does not use derivatives.

ENTRUST, a MATLAB program which minimizes a scalar function of several variables using trust-region methods.

NELDER_MEAD, a MATLAB program which minimizes a scalar function of several variables using the Nelder-Mead algorithm, by Jeff Borggaard.

PRAXIS, a FORTRAN90 library which implements the principal axis method of Richard Brent for minimization of a function without the use of derivatives.

TEST_OPT, a MATLAB library which defines test problems requiring the minimization of a scalar function of several variables.

TOMS178, a MATLAB library which optimizes a scalar functional of multiple variables using the Hooke-Jeeves method.

Reference:

1. Harald Niederreiter, Kevin McCurley,
   Optimization of functions by quasi-random search methods,
   Computing,
   Volume 22, Number 2, 1979, pages 119-123.

Examples and Tests:

• fmincon_test.m, calls all the tests.
• fmincon_test_output.txt, the output file.
• fmincon_test01.m, uses the Niederreiter-McCurley function #1.
• niederreiter_mccurley1.m, evaluates the Niederreiter-McCurley function #1.
• fmincon_test02.m, uses the Niederreiter-McCurley function #2.
• niederreiter_mccurley2.m, evaluates the Niederreiter-McCurley function #2.
• fmincon_test03.m, uses the Niederreiter-McCurley function #3.
• niederreiter_mccurley3.m, evaluates the Niederreiter-McCurley function #3.
• fmincon_test04.m, uses the Niederreiter-McCurley function #4.
• niederreiter_mccurley4.m, evaluates the Niederreiter-McCurley function #4.
• fmincon_test05.m, uses the Niederreiter-McCurley function #5.
• niederreiter_mccurley5.m, evaluates the Niederreiter-McCurley function #5.
• fmincon_test06.m, uses the Niederreiter-McCurley function #6.
• niederreiter_mccurley6.m, evaluates the Niederreiter-McCurley function #6.

You can go up one level to the MATLAB source codes.