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1. Optimization (computer science): In computer science, particularly in the study of compilers, an optimization is a transformation of computer programs that, when applied to a computer program P, produces an equivalent program P' which is in some way more optimal (i.e. faster ... (Computer science) [100%] 2023-07-27
2. Optimization (mathematics): In mathematics, the term optimization refers to study of problems in which one seeks for a minimum or a maximum of a real function within a given allowed set. This problem can be presented in the following way. (Mathematics) [100%] 2023-06-12
3. Optimisation: Optimization is the process of finding extrema (maximum or minimum values) of a particular function. In this guide we will use differentiation to determine these extrema of functions of one or more variables. [91%] 2024-01-26 [Calculus]
4. Optimisation: Optimization is the process of finding extrema (maximum or minimum values) of a particular function. In this guide we will use differentiation to determine these extrema of functions of one or more variables. [91%] 2024-01-09 [Calculus]
5. Discrete optimization: Discrete optimization is a branch of optimization in applied mathematics and computer science. As opposed to continuous optimization, some or all of the variables used in a discrete mathematical program are restricted to be discrete variables—that is, to assume ... (Branch of mathematical optimization) [70%] 2023-11-22 [Mathematical optimization]
6. Online optimization: Online optimization is a field of optimization theory, more popular in computer science and operations research, that deals with optimization problems having no or incomplete knowledge of the future (online). These kind of problems are denoted as online problems and ... [70%] 2023-11-11 [Mathematical optimization] [Algorithms]...
7. Metaheuristic Optimization: Metaheuristic optimization deals with optimization problems using metaheuristic algorithms. Optimization is essentially everywhere, from engineering design to economics and from holiday planning to Internet routing. [70%] 2021-12-24 [Applied Mathematics] [Optimization]...
8. Robust optimization: Robust optimization is a field of mathematical optimization theory that deals with optimization problems in which a certain measure of robustness is sought against uncertainty that can be represented as deterministic variability in the value of the parameters of the ... [70%] 2023-12-20 [Mathematical optimization]
9. Stochastic optimization: Stochastic optimization (SO) methods are optimization methods that generate and use random variables. For stochastic problems, the random variables appear in the formulation of the optimization problem itself, which involves random objective functions or random constraints. [70%] 2023-09-18 [Stochastic optimization] [Monte Carlo methods]...
10. Traffic optimization: Traffic optimization are the methods by which time stopped in road traffic (particularly, at traffic signals) is reduced. Texas Transportation Institute estimates travel delays of between 17–55 hours of delay per person per year relating to congestion on the ... [70%] 2023-10-17 [Road traffic management] [Intelligent transportation systems]...
11. Enterprise optimization: Enterprise Optimization (EO) is "a systematic process of planning, integrating, coordinating and executing all dimensions of enterprise activities for best-possible mission-focused results". It is a sub-field of management science. (Social) [70%] 2023-10-19 [Strategic management]
12. Topology optimization: Topology optimization is a mathematical method that optimizes material layout within a given design space, for a given set of loads, boundary conditions and constraints with the goal of maximizing the performance of the system. Topology optimization is different from ... (Mathematical method for optimizing material layout under given conditions) [70%] 2024-01-26 [Mathematical optimization] [Topology]...
13. Interprocedural optimization: Interprocedural optimization (IPO) is a collection of compiler techniques used in computer programming to improve performance in programs containing many frequently used functions of small or medium length. IPO differs from other compiler optimizations by analyzing the entire program as ... (Computer program optimization method) [70%] 2023-12-17 [Compiler optimizations]
14. Bayesian optimization: Bayesian optimization is a sequential design strategy for global optimization of black-box functions that does not assume any functional forms. It is usually employed to optimize expensive-to-evaluate functions. (Statistical optimization technique) [70%] 2023-10-19 [Sequential methods] [Sequential experiments]...
15. Biconvex optimization: Biconvex optimization is a generalization of convex optimization where the objective function and the constraint set can be biconvex. There are methods that can find the global optimum of these problems. [70%] 2022-10-16 [Convex optimization] [Generalized convexity]...
16. Lyapunov optimization: This article describes Lyapunov optimization for dynamical systems. It gives an example application to optimal control in queueing networks. [70%] 2023-12-26 [Networking algorithms] [Queueing theory]...
17. Hindsight optimization: Hindsight optimisation (HOP) is a computer science technique used in artificial intelligence for analysis of actions which have stochastic results. HOP is used in combination with a deterministic planner. [70%] 2024-01-01 [Artificial intelligence]
18. Combinatorial optimization: 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. Typical combinatorial optimization ... (Subfield of mathematical optimization) [70%] 2024-01-08 [Combinatorial optimization] [Computational complexity theory]...
19. Topology optimization: Topology optimization (TO) is a mathematical method that optimizes material layout within a given design space, for a given set of loads, boundary conditions and constraints with the goal of maximizing the performance of the system. Topology optimization is different ... (Mathematical method for optimizing material layout under given conditions) [70%] 2023-11-03 [Mathematical optimization] [Topology]...
20. Logic optimization: Logic optimization is a process of finding an equivalent representation of the specified logic circuit under one or more specified constraints. This process is a part of a logic synthesis applied in digital electronics and integrated circuit design. (Process in digital electronics and integrated circuit design) [70%] 2023-10-31 [Electronic engineering] [Electronic design]...