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Everything about Parametric programming
Optimization using parameterization
Parametric programming is a type of mathematical optimization, where the optimization problem is solved as a function of one or multiple parameters. Developed in parallel to sensitivity analysis, its earliest mention can be found in a thesis from 1952. Since then, there have been considerable developments for the cases of multiple parameters, presence of integer variables as well as nonlinearities. Wikipedia →
🧭 Start here: a 6-step reading path
- Read the overview: Parametric programmingA 5-minute orientation
- Skim a recent paper: GarmentCode: Programming Parametric Sewing PatternsInfluential work since 2022
- Pick up a classic book: Ansoft OptimetricsThe most-reprinted book on the subject
- Read the landmark paper: The use of parametric programming in fuzzy linear programmingCited 312 times
- Go sideways: Loss functionA closely related topic
- Go sideways: Nonlinear programmingA closely related topic
📖 Definitions
No dictionary entry for this exact phrase.
🗂️ The subject at a glance
🏆 Landmark papers (most cited)
The use of parametric programming in fuzzy linear programming
Parametric integer programming
Parametric global optimisation for bilevel programming
Computational complexity of parametric linear programming
Reactive scheduling using parametric programming
On Polyhedral Projection and Parametric Programming
Fuzzy programming in multiobjective linear programming — a parametric approach
Parametric methods in integer linear programming
🆕 Influential since 2022
GarmentCode: Programming Parametric Sewing Patterns
Explicit machine learning-based model predictive control of nonlinear processes via multi-parametric programming
Dynamic risk-based process design and operational optimization via multi-parametric programming
Parametric and Visual Programming BIM Applied to Museums, Linking Container and Content
Parametric Optimization for Fully Fuzzy Linear Programming Problems with Triangular Fuzzy Numbers
📚 Books worth reading
- 📕Ansoft OptimetricsAnsoft Corporation · 2001
Algebraic StatisticsSeth Sullivant · 2018
Ranked by number of editions on Open Library, a rough measure of how lasting a book is.
🔗 Related topics
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