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- Mathematical optimization - Wikipedia
Mathematical optimization (alternatively spelled optimisation) or mathematical programming is the selection of a best element, with regard to some criteria, from some set of available alternatives [1][2] It is generally divided into two subfields: discrete optimization and continuous optimization
- Optimization | Definition, Techniques, Facts | Britannica
Optimization, collection of mathematical principles and methods used for solving quantitative problems Optimization problems typically have three fundamental elements: a quantity to be maximized or minimized, a collection of variables, and a set of constraints that restrict the variables
- Introduction to Mathematical Optimization - Stanford University
“Real World” Mathematical Optimization is a branch of applied mathematics which is useful in many different fields Here are a few examples:
- Optimization | Journal | Taylor Francis Online
Optimization publishes on the latest developments in theory and methods in the areas of mathematical programming and optimization techniques
- 18. 335J (S19) Lecture 25 - A Brief Overview of Optimization Problems
Why optimization? In some sense, all engineering design is optimization: choosing design parameters to improve some objective Much of data analysis is also optimization: extracting some model parameters from data while minimizing some error measure (e g fitting)
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