Karmarkar's algorithm is an algorithm introduced by Narendra Karmarkar in 1984 for solving linear programming problems. It was the first reasonably efficient...
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Narendra Krishna Karmarkar (born circa 1956) is an Indian mathematician. Karmarkar developed Karmarkar's algorithm. He is listed as an ISI highly cited...
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these include Khachiyan's ellipsoidal algorithm, Karmarkar's projective algorithm, and path-following algorithms. The Big-M method is an alternative strategy...
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method Karmarkar's algorithm: The first reasonably efficient algorithm that solves the linear programming problem in polynomial time. Simplex algorithm: an...
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Ellipsoid method (redirect from Ellipsoid algorithm)
Specifically, Karmarkar's algorithm, an interior-point method, is much faster than the ellipsoid method in practice. Karmarkar's algorithm is also faster...
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Time complexity (redirect from Polynomial-time algorithm)
takes to run an algorithm. Time complexity is commonly estimated by counting the number of elementary operations performed by the algorithm, supposing that...
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granted in respect of Karmarkar's algorithm, which relates to linear programming problems. Claim 1 of this patent suggests the algorithm should be applied...
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Interior-point method (category Optimization algorithms and methods)
in the mid-1980s. In 1984, Narendra Karmarkar developed a method for linear programming called Karmarkar's algorithm, which runs in provably polynomial...
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Linear programming (redirect from Algorithms for linear programming)
programming. Karmarkar's algorithm improved on Khachiyan's worst-case polynomial bound (giving O ( n 3.5 L ) {\displaystyle O(n^{3.5}L)} ). Karmarkar claimed...
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Affine scaling (category Optimization algorithms and methods)
discovery of Karmarkar's algorithm, the first practical polynomial time algorithm for linear programming. The importance and complexity of Karmarkar's method...
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Johnson's algorithm Johnson–Trotter algorithm jump list jump search Karmarkar's algorithm Karnaugh map Karp–Rabin string-search algorithm Karp reduction...
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Partition problem (redirect from Approximations algorithms for the partition problem)
{1}{n}}\right)} in expectation. Largest Differencing Method (also called the Karmarkar–Karp algorithm) sorts the numbers in descending order and repeatedly replaces...
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A greedy algorithm is any algorithm that follows the problem-solving heuristic of making the locally optimal choice at each stage. In many problems, a...
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The Karmarkar–Karp (KK) bin packing algorithms are several related approximation algorithm for the bin packing problem. The bin packing problem is a problem...
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Quadratic programming (category Optimization algorithms and methods)
polynomial time. Ye and Tse present a polynomial-time algorithm, which extends Karmarkar's algorithm from linear programming to convex quadratic programming...
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cost circulations in strongly polynomial time. Narendra Karmarkar for Karmarkar's algorithm for linear programming. 1991: Martin E. Dyer, Alan M. Frieze...
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Pidgin code (category Algorithm description languages)
minimal residual method Jacobi eigenvalue algorithm Jacobi method Karmarkar's algorithm Particle swarm optimization Stone method Successive over-relaxation...
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List of numerical analysis topics (redirect from List of eigenvalue algorithms)
Ellipsoid method Karmarkar's algorithm Mehrotra predictor–corrector method Column generation k-approximation of k-hitting set — algorithm for specific LP...
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(CART) algorithm developed by Leo Breiman, et al. 1984 – LZW algorithm developed from LZ78 by Terry Welch 1984 – Karmarkar's interior-point algorithm developed...
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Largest differencing method (redirect from Karmarkar–Karp algorithm)
method is an algorithm for solving the partition problem and the multiway number partitioning. It is also called the Karmarkar–Karp algorithm after its inventors...
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John von Neumann (section Algorithms)
(1873), which was later popularized by Karmarkar's algorithm. Von Neumann's method used a pivoting algorithm between simplices, with the pivoting decision...
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time-domain spectroscopy. In 1984, Karmarkar's algorithm for linear programming was developed by mathematician Narendra Karmarkar. Also in 1984, a divestiture...
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Mauricio Resende (category Optimization algorithms and methods)
(biased random-key genetic algorithms) as well as the first successful implementation of Karmarkar’s interior point algorithm. He published over 180 peer-reviewed...
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is partly named after him. Narendra Karmarkar, Gwalior, mathematician. Karmarkar developed Karmarkar's algorithm. Anil Kakodkar, Barwani, FNA, nuclear...
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Metaheuristic (redirect from Meta-algorithm)
designed to find, generate, tune, or select a heuristic (partial search algorithm) that may provide a sufficiently good solution to an optimization problem...
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EKA (abbreviation of Embedded Karmarkar Algorithm, also means the number One in Sanskrit), is a supercomputer built by the Computational Research Laboratories...
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Narendra Karmarkar (PhD 1983) is known for the interior point method, a polynomial algorithm for linear programming known as Karmarkar's algorithm. National...
182 KB (16,479 words) - 07:53, 22 November 2024
paper proving convergence of a variant of Karmarkar's algorithm that became known as the Affine-Scaling algorithm. Eventually it became known that I.I. Dikin...
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science and operations research, the artificial bee colony algorithm (ABC) is an optimization algorithm based on the intelligent foraging behaviour of honey...
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Narendra Karmarkar (MS 1979) is known for the interior point method, a polynomial algorithm for linear programming known as Karmarkar's algorithm. Other...
146 KB (14,181 words) - 05:53, 27 October 2024