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Mathematical optimization (alternatively spelled optimisation) or mathematical programming is the selection of a best element, with regard to some criterion, from some set of available alternatives. It is generally divided into two subfields: discrete optimization and continuous optimization.
- Optimization problem
In mathematics, engineering, computer science and economics,...
- Optimization problem
En matemáticas, estadística, economía, ciencias empíricas y ciencia de la computación, la optimización (también, optimización matemática o programación matemática) es la selección del mejor elemento (con respecto a algún criterio) de un conjunto de elementos disponibles.
Multi-objective optimization or Pareto optimization (also known as multi-objective programming, vector optimization, multicriteria optimization, or multiattribute optimization) is an area of multiple-criteria decision making that is concerned with mathematical optimization problems involving more than one objective function to be ...
Combinatorial optimization is a subfield of mathematical optimization that consists of finding an optimal object from a finite set of objects, where the set of feasible solutions is discrete or can be reduced to a discrete set.
5 de abr. de 2024 · 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.
Global optimization is a branch of applied mathematics and numerical analysis that attempts to find the global minima or maxima of a function or a set of functions on a given set. It is usually described as a minimization problem because the maximization of the real-valued function is equivalent to the minimization of the function .
