Results 241 to 250 of about 1,483,678 (283)

Semidefinite Relaxation Methods for Tensor Absolute Value Equations

SIAM Journal on Matrix Analysis and Applications, 2023
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Zhou, Anwa, Liu, Kun, Fan, Jinyan
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Difference equations with absolute values

Journal of Difference Equations and Applications, 2005
We study a class of multiparameter difference equations that contain the absolute value of a difference. Using two different semiconjugate factorizations, we obtain precise information about the solutions of these equations for various ranges of parameter values.
C. M. Kent, H. Sedaghat
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An efficient algorithm for solving absolute value equations

2021
Summary: Recently, absolute value equations (AVEs) are lied in the consideration center of some researchers since they are very suitable alternatives for many frequently occurring optimization problems. Therefore, finding a fast solution method for these type of problems is very significant.
Jahromi, Alireza Fakharzadeh, Shams, Nafiseh Naseri   +1 more
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Absolute value equations with uncertain data

Optimization Letters, 2019
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M. A. Raayatpanah, H. Moosaei, P. M. Pardalos   +2 more
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A note on absolute value equations

Optimization Letters, 2010
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Hu, Sheng-Long, Huang, Zheng-Hai
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Optimal correction of the absolute value equations

Journal of Global Optimization, 2020
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Hossein Moosaei, Saeed Ketabchi, Milan Hladík   +2 more
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Absolute Value Equation Solution Via Linear Programming

Journal of Optimization Theory and Applications, 2013
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On equivalent reformulations for absolute value equations

Computational Optimization and Applications, 2007
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The new iteration methods for solving absolute value equations

Applications of Mathematics, 2021
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Ali, Rashid, Pan, Kejia
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Tikhonov regularization for infeasible absolute value equations

Optimization, 2016
We investigate the optimum correction of an absolute value equation by minimally changing the coefficient matrix and right-hand side vector using Tikhonov regularization. Solving this problem is equivalent to minimizing the sum of fractional quadratic and quadratic functions. The primary difficulty with this problem is its nonconvexity. Nonetheless, we
Hossein Moosaei, Saeed Ketabchi, Panos M. Pardalos   +2 more
openaire   +1 more source