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General double-relaxation two-sweep modulus-based matrix splitting iteration methods for horizontal linear complementarity problem
For solving horizontal linear complementarity problem (HLCP), we propose a general double-relaxation two-sweep modulus-based matrix splitting...
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Modulus-based synchronous multisplitting iteration methods for large sparse vertical linear complementarity problems
In this paper, for solving large sparse vertical linear complementarity problems, the modulus-based synchronous multisplitting iteration method is...
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Iteration Structures
This chapter shows how iterations structures work using flowcharts, pseudocode and Java. It includes pretest indefinite loop structures, both count... -
A generalized ALI iteration method for nonsymmetric algebraic Riccati equations
Nonsymmetric algebraic Riccati equations are a class of nonlinear matrix equations with wide applications. In this paper, numerical solution of...
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CISO: Co-iteration semi-supervised learning for visual object detection
Semi-supervised learning offers a solution to the high cost and limited availability of manually labeled samples in supervised learning. In...
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Value iteration algorithm for continuous-time linear quadratic stochastic optimal control problems
In this study, we investigate a continuous-time infinite-horizon linear quadratic stochastic optimal control problem with multiplicative noise in...
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Loo** and Iteration
You’ve built up your coding toolbox, and you have a good selection of powerful tools, including data structures, at your fingertips. One thing that... -
Segment-wise learning control for trajectory tracking of robot manipulators under iteration-dependent periods
This paper is concerned with the amplitude boundedness problem of adaptive iterative learning control (AILC) for robot manipulators operating with...
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Towards efficient and accurate approximation: tensor decomposition based on randomized block Krylov iteration
Tensor decomposition methods are inefficient when dealing with low-rank approximation of large-scale data. Randomized tensor decomposition has...
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On the generalized AOR and CG iteration methods for a class of block two-by-two linear systems
In this work, we utilize the generalized AOR (GAOR) and CG (GCG) methods for constructing iteration methods to solve the block two-by-two linear...
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A preconditioned general modulus-based matrix splitting iteration method for solving horizontal linear complementarity problems
In this paper, first we propose a general modulus-based matrix splitting iteration method for solving horizontal linear complementarity problems. In...
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Modulus-based block triangular splitting iteration method for solving the generalized absolute value equations
In this paper, we focus on solving the generalized absolute value equations (GAVE). We present a new method named as modulus-based block triangular...
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Phase error compensation for Synthetic Aperture Radar (SAR) images by on non-iteration Phase Gradient Autofocus (PGA) algorithms
Despite the tremendous progress in synthetic aperture radar (SAR) navigation systems, complete elimination of phase errors caused by random platform...
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Two-step modulus-based matrix splitting iteration methods for retinex problem
Retinex theory was proposed by Land in the 1970s. Its theoretical basis is that the color of an object is determined by the reflection ability of the...
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A constant-per-iteration likelihood ratio test for online changepoint detection for exponential family models
Online changepoint detection algorithms that are based on (generalised) likelihood-ratio tests have been shown to have excellent statistical...
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Shift-splitting fixed point iteration method for solving generalized absolute value equations
Using the shift-splitting strategy, we propose a shift-splitting fixed point iteration (FPI-SS) method for solving large sparse generalized absolute...
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WAS: improved white-box cryptographic algorithm over AS iteration
The attacker in white-box model has full access to software implementation of a cryptographic algorithm and full control over its execution...
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Online Pareto optimal control of mean-field stochastic multi-player systems using policy iteration
In this study, the Pareto optimal strategy problem was investigated for multi-player mean-field stochastic systems governed by Itô differential...