Projection methods for computing feasible points of linearly constrained regions

Lecture Notes in Control and Information Sciences - Projection Methods in Constrained Optimisation and Applications to Optimal Policy Decisions ◽

10.1007/bfb0004477 ◽

2005 ◽

pp. 43-75

Keyword(s):

Projection Methods ◽

Linearly Constrained ◽

Feasible Points

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Application of projection methods for multivariate analysis in eddy current thickness measurement

Izmeritel`naya Tekhnika ◽

10.32446/0368-1025it.2019-7-49-53 ◽

2019 ◽

pp. 49-53

Author(s):

A.V. Egorov ◽

V.V. Polyakov ◽

Y.I. Borcova

Keyword(s):

Multivariate Analysis ◽

Eddy Current ◽

Projection Methods ◽

Thickness Measurement

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Iteration matrices and convergence rates of projection methods

10.31274/rtd-180813-1462 ◽

1975 ◽

Author(s):

Anthony Seaton Ridolfo

Keyword(s):

Convergence Rates ◽

Projection Methods

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Technical drawings. Projection methods

10.3403/bseniso5456 ◽

2015 ◽

Keyword(s):

Projection Methods

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Analysis of a Linearly Constrained Least Squares Algorithm for Adaptive Beamforming

10.21236/ada255017 ◽

1992 ◽

Author(s):

Franklin T. Luk ◽

Sanzheng Qiao

Keyword(s):

Least Squares ◽

Adaptive Beamforming ◽

Constrained Least Squares ◽

Linearly Constrained ◽

Least Squares Algorithm

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On the Convergence of a Polynomial Projection Methods for One Class of Fractional Differential Equations

Lobachevskii Journal of Mathematics ◽

10.1134/s1995080220110104 ◽

2020 ◽

Vol 41 (11) ◽

pp. 2168-2178

Author(s):

A. V. Guskova

Keyword(s):

Differential Equations ◽

Fractional Differential Equations ◽

Projection Methods ◽

Fractional Differential

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A Proximal Alternating Direction Method of Multiplier for Linearly Constrained Nonconvex Minimization

SIAM Journal on Optimization ◽

10.1137/19m1242276 ◽

2020 ◽

Vol 30 (3) ◽

pp. 2272-2302

Author(s):

Jiawei Zhang ◽

Zhi-Quan Luo

Keyword(s):

Alternating Direction Method ◽

Nonconvex Minimization ◽

Alternating Direction ◽

Linearly Constrained ◽

Proximal Alternating Direction Method

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A modular structure for implementation of linearly constrained minimum variance beamformers

IEEE Transactions on Signal Processing ◽

10.1109/78.91191 ◽

1991 ◽

Vol 39 (10) ◽

pp. 2343-2346 ◽

Cited By ~ 15

Author(s):

T.-C. Liu ◽

B. Van Veen

Keyword(s):

Minimum Variance ◽

Modular Structure ◽

Linearly Constrained

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Linearly constrained minimum variance method for spherical microphone arrays in a coherent environment

2011 Joint Workshop on Hands-free Speech Communication and Microphone Arrays ◽

10.1109/hscma.2011.5942416 ◽

2011 ◽

Cited By ~ 5

Author(s):

Yotam Peled ◽

Boaz Rafaely

Keyword(s):

Minimum Variance ◽

Microphone Arrays ◽

Variance Method ◽

Linearly Constrained ◽

Spherical Microphone Arrays ◽

Minimum Variance Method

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Chebyshev Spectral Projection Methods for Two-Dimensional Fredholm Integral Equations of Second Kind

International Journal of Applied and Computational Mathematics ◽

10.1007/s40819-021-01015-4 ◽

2021 ◽

Vol 7 (3) ◽

Author(s):

Bijaya Laxmi Panigrahi ◽

Jitendra Kumar Malik

Keyword(s):

Integral Equations ◽

Spectral Projection ◽

Projection Methods ◽

Fredholm Integral Equations ◽

Two Dimensional

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A faster generalized ADMM-based algorithm using a sequential updating scheme with relaxed stepsizes for multiple-block linearly constrained separable convex programming

Journal of Computational and Applied Mathematics ◽

10.1016/j.cam.2021.113503 ◽

2021 ◽

pp. 113503

Author(s):

Yuan Shen ◽

Yannian Zuo ◽

Xiayang Zhang

Keyword(s):

Convex Programming ◽

Separable Convex Programming ◽

Linearly Constrained ◽

Sequential Updating

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