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Modelling And Analysis Of A Multi-Stage Order Quantity Model
Published 2020“…Illustrative examples are presented.…”
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Second-order conic programming for data envelopment analysis models
Published 2022“…Moreover, it presents an algorithm that solves the former problem, and provides a MATLAB function associated with it. …”
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Weak-coupling, strong-coupling and large-order parametrization of the hypergeometric-Meijer approximants
Published 2020“…<p dir="ltr">Without Borel or Padé techniques, we show that for a divergent series with n! large-order growth factor, the set of hypergeometric series <sub>p</sub>F<sub>p</sub> -2 represents suitable approximants. …”
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Topics in graph algorithms
Published 2003“…We mainly study some emergent techniques that help to bridge the gap between computational intractability and practicality. We present results that lead to better exact and approximation algorithms and better implementations. …”
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An exact and general model order reduction technique for the finite element solution of elastohydrodynamic lubrication problems
Published 2017“…This work presents an exact and general model order reduction (MOR) technique for a fast finite element resolution of elastohydrodynamic lubrication (EHL) problems. …”
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A kernelization algorithm for d-Hitting Set
Published 2010“…In this paper, a kernelization algorithm for the 3-Hitting Set problem is presented along with a general kernelization for d -Hitting Set. …”
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Capturing outline of fonts using genetic algorithm and splines
Published 2001“…Hence, it is very difficult to obtain a global optima. We present a method to convert the original problem into a discrete combinatorial optimization problem and solve it by a genetic algorithm. …”
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Physical optimization algorithms for mapping data to distributed-memory multiprocessors
Published 1992“…We present three parallel physical optimization algorithms for mapping data to distributed-memory multiprocessors, concentrating on irregular loosely synchronous problems. …”
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9
Parallel physical optimization algorithms for allocating data to multicomputer nodes
Published 1994“…Three parallel physical optimization algorithms for allocating irregular data to multicomputer nodes are presented. …”
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A method for test scheduling using an evolutionary approach. (c2000)
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11
Test Vector Decomposition Based Static Compaction Algorithms for Combinational Circuits
Published 2003“…In addition, two new TVD based static compaction algorithms are presented. Experimental results for benchmark circuits demonstrate the effectiveness of the two new static compaction algorithms.…”
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An image processing and genetic algorithm-based approach for the detection of melanoma in patients
Published 2018“…Hence, there is a great need for a new automated approach in order to make diagnosis more reliable. In this paper, we present a twophase technique to classify images of lesions into benign or malignant. …”
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The buffered work-pool approach for search-tree based optimization algorithms
Published 2017“…Different algorithms adopt different branching and pruning techniques in order to reduce the unavoidable exponential growth in run time. …”
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15
A time-domain algorithm for the analysis of second-harmonicgeneration in nonlinear optical structures
Published 2000“…A time-domain simulator of integrated optical structures containing second-order nonlinearities is presented. The simulation algorithm is based on nonlinear wave equations representing the propagating fields and is solved using the finite-difference time-domain method. …”
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A time-domain algorithm for the analysis of second-harmonicgeneration in nonlinear optical structures
Published 2000“…A time-domain simulator of integrated optical structures containing second-order nonlinearities is presented. The simulation algorithm is based on nonlinear wave equations representing the propagating fields and is solved using the finite-difference time-domain method. …”
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A hybrid distributed test generation method using deterministic and genetic algorithms
Published 2017“…The deterministic phase is based on the D-algorithm and generates an initial set of test vectors that are evolved in the genetic phase in order to achieve high fault coverage in a short time. …”
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New Fast Arctangent Approximation Algorithm for Generic Real-Time Embedded Applications
Published 2019“…The contributions of this work are summarized as follows: (1) introducing a new approximation algorithm with high precision and application-based flexibility; (2) introducing a new rational approximation formula that outperforms literature alternatives with the algorithm at higher accuracy requirement; and (3) presenting a practical evaluation index for rational approximations in the literature.…”
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