Difference between revisions of "Optimization Solver"
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| − | * [[User:Kohei|Kohei Yoshida]] --- | + | * [[User:Kohei|Kohei Yoshida]] --- Original author and current maintainer |
=Download and Test= | =Download and Test= | ||
Revision as of 03:19, 16 April 2006
Developer(s)
- Kohei Yoshida --- Original author and current maintainer
Download and Test
Interested in testing it? I usually post the binary on my website. Right now, I only maintain x86 Linux binary for each snapshot release, but Windows binary for the February 2006 snapshot is available thanks to Kami.
Alternatively, you can download and install OpenSUSE 10.1 (currently in Beta) from the OpenSUSE project website. The edition of OO.o shipped with OpenSUSE 10.1 includes this Solver.
To install, follow these steps (in English build):
- Download the latest solver.uno.zip, but don't unzip it.
- Open Calc, go to Tools - Package Manager.
- Select "My Packages", and click "Add".
- Locate that solver.uno.zip file you have downloaded, and hit OK to load it.
- Once Calc finishes registering the component, close all OO.o windows, and restart Calc. You should then see a floating toolbar with the word "Solver" on it.
Task Breakdown
Core Optimization Algorithms
Listed below are algorithms proposed to be included in future versions of Calc Solver. Some are being actively developed, while the others are still in planning.
Linear Programming (LP)
| Algorithm | Status | Date |
|---|---|---|
| Revised Simplex Method | finished | 2006-03-16 |
| Bounded Revised Simplex Method | in progress | |
| Interior Point Method | proposed |
Mixed Integer Linear Programming (MILP)
- Branch and Bound --- planned
- Branch and Cut --- planned
Non-Linear Programming (NLP)
- Quasi-Newton Method with BFGS Update --- in progress
- Penalty Method --- proposed
- Barrier Method --- proposed
- Genetic Algorithm --- planned
Mixed Integer Non-Linear Programming (MINLP)
- ?
User Interface (UI)
- Options dialog
- i18n
- User-defined Hessian matrix calculation
Miscellaneous
Automatic Algorithm Selection
We may need an optional mechanism to select appropriate optimization algorithms (LP vs QP, linear vs non-linear) based on the characteristics of a given model. But such machanism should be optional so that the user can still pick and choose desired algorithms.
Resources
Third Party Library
- Free Software
- Commercial
- np_sol
- cplex
