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Integer programming

Index Integer programming

An integer programming problem is a mathematical optimization or feasibility program in which some or all of the variables are restricted to be integers. [1]

25 relations: Adjugate matrix, Ant colony optimization algorithms, Branch and bound, Branch and cut, Constraint satisfaction problem, Cutting-plane method, George Nemhauser, GSM, Hendrik Lenstra, Hill climbing, Hopfield network, Karp's 21 NP-complete problems, Linear function (calculus), Linear programming, Linear programming relaxation, Mathematical optimization, NP-completeness, NP-hardness, Production planning, Simplex algorithm, Simulated annealing, Tabu search, Unimodular matrix, Vertex cover, William R. Pulleyblank.

Adjugate matrix

In linear algebra, the adjugate, classical adjoint, or adjunct of a square matrix is the transpose of its cofactor matrix.

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Ant colony optimization algorithms

In computer science and operations research, the ant colony optimization algorithm (ACO) is a probabilistic technique for solving computational problems which can be reduced to finding good paths through graphs.

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Branch and bound

Branch and bound (BB, B&B, or BnB) is an algorithm design paradigm for discrete and combinatorial optimization problems, as well as mathematical optimization.

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Branch and cut

Branch and cut is a method of combinatorial optimization for solving integer linear programs (ILPs), that is, linear programming (LP) problems where some or all the unknowns are restricted to integer values.

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Constraint satisfaction problem

Constraint satisfaction problems (CSPs) are mathematical questions defined as a set of objects whose state must satisfy a number of constraints or limitations.

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Cutting-plane method

In mathematical optimization, the cutting-plane method is any of a variety of optimization methods that iteratively refine a feasible set or objective function by means of linear inequalities, termed cuts.

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George Nemhauser

George Lann Nemhauser (born 1937).

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GSM

GSM (Global System for Mobile communications) is a standard developed by the European Telecommunications Standards Institute (ETSI) to describe the protocols for second-generation digital cellular networks used by mobile devices such as tablets, first deployed in Finland in December 1991.

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Hendrik Lenstra

Hendrik Willem Lenstra Jr. (born 16 April 1949, Zaandam) is a Dutch mathematician.

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Hill climbing

In numerical analysis, hill climbing is a mathematical optimization technique which belongs to the family of local search.

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Hopfield network

A Hopfield network is a form of recurrent artificial neural network popularized by John Hopfield in 1982, but described earlier by Little in 1974.

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Karp's 21 NP-complete problems

In computational complexity theory, Karp's 21 NP-complete problems are a set of computational problems which are NP-complete.

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Linear function (calculus)

In calculus and related areas of mathematics, a linear function from the real numbers to the real numbers is a function whose graph (in Cartesian coordinates with uniform scales) is a line in the plane.

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Linear programming

Linear programming (LP, also called linear optimization) is a method to achieve the best outcome (such as maximum profit or lowest cost) in a mathematical model whose requirements are represented by linear relationships.

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Linear programming relaxation

In mathematics, the relaxation of a (mixed) integer linear program is the problem that arises by removing the integrality constraint of each variable.

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Mathematical optimization

In mathematics, computer science and operations research, mathematical optimization or mathematical programming, alternatively spelled optimisation, is the selection of a best element (with regard to some criterion) from some set of available alternatives.

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NP-completeness

In computational complexity theory, an NP-complete decision problem is one belonging to both the NP and the NP-hard complexity classes.

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NP-hardness

NP-hardness (''n''on-deterministic ''p''olynomial-time hardness), in computational complexity theory, is the defining property of a class of problems that are, informally, "at least as hard as the hardest problems in NP".

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Production planning

Production planning is the planning of production and manufacturing modules in a company or industry.

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Simplex algorithm

In mathematical optimization, Dantzig's simplex algorithm (or simplex method) is a popular algorithm for linear programming.

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Simulated annealing

Simulated annealing (SA) is a probabilistic technique for approximating the global optimum of a given function.

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Tabu search

Tabu search, created by Fred W. Glover in 1986 and formalized in 1989, is a metaheuristic search method employing local search methods used for mathematical optimization.

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Unimodular matrix

In mathematics, a unimodular matrix M is a square integer matrix having determinant +1 or −1.

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Vertex cover

In the mathematical discipline of graph theory, a vertex cover (sometimes node cover) of a graph is a set of vertices such that each edge of the graph is incident to at least one vertex of the set.

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William R. Pulleyblank

William R. Pulleyblank is a Canadian and American operations researcher.

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Algorithms for integer programming, Applications of integer programming, INteger programming, Integer Programming, Integer Programming Problem, Integer constraint, Integer linear optimization, Integer linear programming, Integer program.

References

[1] https://en.wikipedia.org/wiki/Integer_programming

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