Optimization functions may be used to find a solution that maximizes or minimizes an objective, possible subject to constraints, or to solve a system of equations.
Most optimization functions require an Analytica Optimizer license. These make use of the Frontline solver, containing state-of-the-art optimization algorithms, and also allowing third party solver engines to be utilized.
Within Analytica Optimizer, optimization problems can be formalized in three forms, as:
- Linear Programs (using LpDefine)
- Quadratic Programs (using QpDefine), having a quadratic objective and linear or convex quadratic constraints.
- Non-linear Programs (using NlpDefine)
Articles of interest
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Pages in category "Optimization Functions"
The following 23 pages are in this category, out of 23 total.