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mex interface for bound constrained optimization via ASA

version 1.2 (10.9 KB) by

ASA solves bound constrained problems; the user provides routines to calculate the function and grad

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ASA (Active-Set Algorithm) is a bound constrained optimization program developed W. W. Hager and H. Zhang. In recent academic tests (e.g. "Evaluating bound-constrained minimization software" by E. Birgin and J. Gentil, 2011) it has been shown to be very fast (even faster than L-BFGS-B).

The original code (see http://www.math.ufl.edu/~hager/papers/CG/ and http://www.math.ufl.edu/~hager/papers/CG/Archive/) is written in C. This Matlab package is a mex gateway routine, along with a simple sample file that gets you started.

It requires you to compile with the mex compiler, but there are no necessary libraries, so if you have a C compiler, it should be very straightforward.

The test_ASA.m file installs everything: it downloads the C files, and it runs the mex compiler. The file also has a little test, and it shows how to make an example with non-negative least-squares (NNLS). For the NNLS problem, I include 3 driver routines that use an additional input of parameters so that you can re-use those functions even when parameters change; this trick should be useful for other problems.

The ASA method uses an active-set approach, and a state-of-the-art non-linear CG algorithm ("cg_descent") to solve the subproblems. Info available at http://www.math.ufl.edu/~hager/papers/CG/asa.pdf

This mex interface works with v2.2 of their code; there are no guarantees it will work with a future version. It should work with any version of Matlab.

Comments and Ratings (2)

neiho

neiho (view profile)

Links are dead. Could you give new ones? Thank you:)

Updates

1.2

The new mex file is compatible with a wider variety of compilers now

1.1

Making it more powerful by allowing extra options parameter, and showing an example with NNLS. Also incorporating suggestions by James Tursa.

MATLAB Release
MATLAB 7.10 (R2010a)
Acknowledgements

Inspired: zeroSR1

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