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infeasible inequality

См. также в других словарях:

  • Linear programming — (LP, or linear optimization) is a mathematical method for determining a way to achieve the best outcome (such as maximum profit or lowest cost) in a given mathematical model for some list of requirements represented as linear relationships.… …   Wikipedia

  • Dual problem — In constrained optimization, it is often possible to convert the primal problem (i.e. the original form of the optimization problem) to a dual form, which is termed a dual problem. Usually dual problem refers to the Lagrangian dual problem but… …   Wikipedia

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  • Constraint (mathematics) — In mathematics, a constraint is a condition that a solution to an optimization problem must satisfy. There are two types of constraints: equality constraints and inequality constraints. The set of solutions that satisfy all constraints is called… …   Wikipedia

  • NP (complexity) — Diagram of complexity classes provided that P ≠ NP. The existence of problems outside both P and NP complete in this case was established by Ladner.[1] In computational complexity theory, NP is one of the most fundamental complexity classes. The… …   Wikipedia

  • P-complete — In complexity theory, the notion of P complete decision problems is useful in the analysis of both: which problems are difficult to parallelize effectively, and; which problems are difficult to solve in limited space. Formally, a decision problem …   Wikipedia

  • co-NP-complete — In complexity theory, computational problems that are co NP complete are those that are the hardest problems in co NP, in the sense that they are the ones most likely not to be in P. If there exists a way to solve a co NP complete problem quickly …   Wikipedia

  • Causality — (but not causation) denotes a necessary relationship between one event (called cause) and another event (called effect) which is the direct consequence (result) of the first. [http://dictionary.reference.com/search?q=Causality x=35 y=25 Random… …   Wikipedia

  • Ellipsoid method — The ellipsoid method is an algorithm for solving convex optimization problems. It was introduced by Naum Z. Shor, Arkady Nemirovsky, and David B. Yudin in 1972, and used by Leonid Khachiyan to prove the polynomial time solvability of linear… …   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

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