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Optimization (computer science) - In computing, optimization is the process of modifying a system to improve its efficiency. The system can be a single computer program, a collection of computers or even an entire network such as the Internet.
Combinatorial optimization - Combinatorial optimization is a branch of optimization in applied mathematics and computer science, related to operations research, algorithm theory and computational complexity theory that sits at the intersection of several fields, including artificial intelligence, mathematics and software engineering. Combinatorial optimization algorithms solve instances of problems that are believed ...
Discrete optimization - Discrete optimization is a branch of optimization in applied mathematics and computer science.
Optimization problem - In computer science, an optimization problem is the problem to find among all feasible solutions for some problem the best one. More formally, an optimization problem A is a four-tuple (I, f, m, g), where
Simon Fraser University - School of Computing Science. Research labs focus on algorithms and optimization, systems science, computational epidemiology, computer vision, database systems, graphics and multimedia, hardware design, software agents, intelligent software and systems, knowledge representation, logic and functional programming, medical computing, natural language processing, parallel and distributed computing, mathematical sciences, programming languages, simulating and exploring ecosystem dynamics, and distance learning.
Cardiff University - Department of Computer Science. Research areas include Parallel and distributed computing, evolutionary and neural computing, heuristics for combinatorial optimization, computational spectral theory, vision, computational geometry, and federated information systems, object-oriented systems, contraints, data warehousing and data mining.
Performance Optimization of Numerically Intensive Codes - By Stefan Goedecker and Adolfy Hoisie (SIAM). Discusses the essential ingredients for achieving high performance in numerical computations on modern computers. The authors explain computer architectures, data traffic and issues related to performance of serial and parallel code optimization exemplified by actual programs written for algorithms of wide interest.
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