Difference between revisions of "Optimization Solver"
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==Current Status== | ==Current Status== | ||
| − | + | Investigate cases where the objective function contains one or more zero coefficients. If a decision variable has a zero coefficient it will not affect the outcome of the optimization at all since its value does not contribute to the objective; however, if they are left in the model and the solver is executed it will create a constraint matrix with an empty column. This will stop the execution due to singularity (not good). | |
| − | + | Possible solutions: | |
| − | + | * Leave it as is, and let the model fail as "solution not found" | |
| − | + | * Remove those non-contributing variables from the model, and continue the execution. | |
==Download and Test== | ==Download and Test== | ||
Revision as of 08:27, 4 December 2005
Current Status
Investigate cases where the objective function contains one or more zero coefficients. If a decision variable has a zero coefficient it will not affect the outcome of the optimization at all since its value does not contribute to the objective; however, if they are left in the model and the solver is executed it will create a constraint matrix with an empty column. This will stop the execution due to singularity (not good).
Possible solutions:
- Leave it as is, and let the model fail as "solution not found"
- Remove those non-contributing variables from the model, and continue the execution.
Download and Test
Interested in testing it? Please download it from here. Right now, there is only a Linux binary available, but a Windows binary is planned.
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.
Future Plan
Some babbling thoughts... (subject to change without further notice)
- Short Term
- More testing of LP algorithm.
- Disable cell update during the run (is it possible?)
- Excel Solver model loading support
- Options dialog
- Penalty method for non-linear model.
- Long Term
- Genetic algorithm for non-linear model.
- Interior point method for faster and more efficient and scalable linear solution.
- Build system based on autoconf for easier compilation from source.
- Integration into the core.
