Infrastructure optimization — Optimization All up Model Infrastructure optimization is Microsoft s structured, systematic process for assessing an organization s IT infrastructure and application platform across capabilities in order to provide an optimization roadmap toward… … Wikipedia
Cooperative optimization — is a global optimization method invented by chinese mathematician Xiao Fei Huang, that can solve real world NP hard optimization problems (up to millions of variables) with outstanding performances and unprecedented speeds. It knows whether a… … Wikipedia
Power optimization (EDA) — Power optimization refers to the use of electronic design automation tools to optimize (reduce) the power consumption of a digital design, while preserving the functionality.Introduction and historyThe increasing speed and complexity of today’s… … Wikipedia
Mathematical optimization — For other uses, see Optimization (disambiguation). The maximum of a paraboloid (red dot) In mathematics, computational science, or management science, mathematical optimization (alternatively, optimization or mathematical programming) refers to… … Wikipedia
systems engineering — ☆ systems engineering n. a branch of engineering using esp. information theory, computer science, and facts from systems analysis studies to design integrated operational systems for specific complexes systems engineer n. * * * Technique of using … Universalium
Artificial intelligence — AI redirects here. For other uses, see Ai. For other uses, see Artificial intelligence (disambiguation). TOPIO, a humanoid robot, played table tennis at Tokyo International Robot Exhibition (IREX) 2009.[1] Artificial intelligence ( … Wikipedia
Genetic algorithm — A genetic algorithm (GA) is a search heuristic that mimics the process of natural evolution. This heuristic is routinely used to generate useful solutions to optimization and search problems. Genetic algorithms belong to the larger class of… … Wikipedia
Algorithmic efficiency — In computer science, efficiency is used to describe properties of an algorithm relating to how much of various types of resources it consumes. Algorithmic efficiency can be thought of as analogous to engineering productivity for a repeating or… … Wikipedia
Metaheuristic — In computer science, metaheuristic designates a computational method that optimizes a problem by iteratively trying to improve a candidate solution with regard to a given measure of quality. Metaheuristics make few or no assumptions about the… … Wikipedia
Time complexity — In computer science, the time complexity of an algorithm quantifies the amount of time taken by an algorithm to run as a function of the size of the input to the problem. The time complexity of an algorithm is commonly expressed using big O… … Wikipedia