Results 211 to 220 of about 85,241 (257)
Tracking control of industrial manipulator based on adaptive RBF neural network with local model approximation. [PDF]
Han G +5 more
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DSAC-ICM: A Distributional Reinforcement Learning Framework for Path Planning in 3D Uneven Terrains. [PDF]
Zhou Y, Liu F, Liu Z, Ji X, Yin G.
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Journal of the Operational Research Society, 2002
(2002). Approximation Algorithms. Journal of the Operational Research Society: Vol. 53, No. 7, pp. 807-808.
Daniele Micciancio, Shafi Goldwasser
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(2002). Approximation Algorithms. Journal of the Operational Research Society: Vol. 53, No. 7, pp. 807-808.
Daniele Micciancio, Shafi Goldwasser
+4 more sources
Approximate Discrete Reconstruction Algorithm [PDF]
Discrete tomography deals with tomographic reconstruction of greyscale images for which the set of possible grey levels is discrete and small. Here, we develop a discrete approximate reconstruction algorithm. Our algorithm computes an image that has only grey values belonging to a given finite set.
Batenburg, Joost +2 more
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Nonlinear smoothing: approximate algorithms
Applied Mathematics and Computation, 1979In this paper the method of stochastic linearization is employed to develop new approximate algorithms for nonlinear smoothing. Both fixed-point and fixed-interval smoothing cases are considered. An example is included to illustrate the use of the algorithms.
Chan, W. K., Kumar, K. S. P.
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Approximate Traveling Salesman Algorithms
Operations Research, 1980There have been a multitude of heuristic algorithms proposed for the solution of large scale traveling salesman problems. Our intent in this paper is to examine some of these well known heuristics, to introduce some new heuristics, and to compare these approximate techniques on the basis of efficiency and accuracy.
Golden, B. +3 more
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Approximation Algorithms for Treewidth
Algorithmica, 2008zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Approximate algorithms for approximate congruence
2013We study the decision problem whether two sets of n points in the plane are approximately congruent with a given tolerance \varepsilon. Approximate algorithm means that the algorithm is not guaranteed to take a decision for all tolerance values.
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