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Empirical convergence algorithm for successive overrelaxation
Proceedings of the Institution of Electrical Engineers, 1974The algorithm concerns the computing by successive overrelaxation (s.o.r.) of the magnetic vector potential at the nodes of a rectangular grid of graded meshes covering the pole pitch of a homopolar or of an heteropolar electrical machine. It has been applied to several cases with grids having up to 1400 nodes, and has operated practically without ...
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Successful implementation of AES algorithm in hardware
2012 IEEE International Conference on Electronics Design, Systems and Applications (ICEDSA), 2012Implementation of AES algorithm in hardware always found its bottleneck during the key scheduling process as it involves a lot of multiplication steps. This paper discusses how this bottleneck is identified, ways to overcome them and the implementation of the said algorithm with the improvement of the key scheduling result to a successful AES hardware ...
Rozita Borhan +1 more
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The Superlinear Convergence of Successive Quadratic Programming Algorithms
IFAC Proceedings Volumes, 1990Convergence rate conditions are considered for sequential quadratic programming algorithms for equality and inequality constraints. The objective function of the quadratic subproblem includes a linear term that is dependent on constraint penalty functions and an approximate Hessian of the Lagrangian augmented by the penalty functions.
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Mixing, Control Maps, and Genetic Algorithm Success
2002On the face of it, the previous chapter would seem like good news. After all, solution accuracy and reliability were predictably controlled using nothing more than appropriate (sub- or near-linear) population sizing. Moreover, this happy circumstance appeared to occur on both easy and hard problems.
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Symmetry of Successful Bases in Shor’s Algorithm
This paper proves a symmetry property in Shor’s factoring algorithm. When factoring a semiprime N=pq, the algorithm succeeds for bases 𝑎 whose order modulo N is even and avoids trivial roots of −1. We show that if such a base a is successful, then its symmetric counterpart N−a is also successful with the same order.openaire +1 more source
The successive projections algorithm for variable selection in spectroscopic multicomponent analysis
Chemometrics and Intelligent Laboratory Systems, 2001M C Araújo, Takashi Yoneyama
exaly
The successive projections algorithm for spectral variable selection in classification problems
Chemometrics and Intelligent Laboratory Systems, 2005Márcio José Coelho Pontes, M C Araújo
exaly
Similarity-based Assembly Success/Failure Estimation Algorithm
Transactions of the Korean Society of Mechanical Engineers - A, 2020Minwoo Na, Tae-Jung Kim, Jae-Bok Song
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