What does optimization problem mean?
Definitions for optimization problem
op·ti·miza·tion prob·lem
This dictionary definitions page includes all the possible meanings, example usage and translations of the word optimization problem.
Wiktionary
optimization problemnoun
The problem of finding the best solution from all feasible solutions, given constraints defining which of the solutions are feasible, and goal function defining which of the feasible solutions is the best one.
Wikipedia
Optimization problem
In mathematics, computer science and economics, an optimization problem is the problem of finding the best solution from all feasible solutions. Optimization problems can be divided into two categories, depending on whether the variables are continuous or discrete: An optimization problem with discrete variables is known as a discrete optimization, in which an object such as an integer, permutation or graph must be found from a countable set. A problem with continuous variables is known as a continuous optimization, in which an optimal value from a continuous function must be found. They can include constrained problems and multimodal problems.
Wikidata
Optimization problem
In mathematics and computer science, an optimization problem is the problem of finding the best solution from all feasible solutions. Optimization problems can be divided into two categories depending on whether the variables are continuous or discrete. An optimization problem with discrete variables is known as a combinatorial optimization problem. In a combinatorial optimization problem, we are looking for an object such as an integer, permutation or graph from a finite set.
Numerology
Chaldean Numerology
The numerical value of optimization problem in Chaldean Numerology is: 9
Pythagorean Numerology
The numerical value of optimization problem in Pythagorean Numerology is: 5
Translations for optimization problem
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"optimization problem." Definitions.net. STANDS4 LLC, 2024. Web. 26 Apr. 2024. <https://www.definitions.net/definition/optimization+problem>.
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