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Published in 2021 at "Computer Methods in Applied Mechanics and Engineering"
DOI: 10.1016/j.cma.2021.113667
Abstract: Abstract All material point method (MPM) codes approximate the full mass matrix with a lumped mass matrix. Because this approach causes dissipation, most MPM simulations rely on so-called FLIP methods to limit dissipation. Recent work…
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Keywords:
method;
mass;
mass matrix;
full mass ... See more keywords
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Published in 2022 at "IEEE Transactions on Signal Processing"
DOI: 10.1109/tsp.2023.3238275
Abstract: The WMMSE beamforming algorithm is a popular approach to address the NP-hard weighted sum rate (WSR) maximization beamforming problem. Although it efficiently finds a local optimum, it requires matrix inverses, eigendecompositions, and bisection searches, operations…
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Keywords:
wmmse;
beamforming algorithm;
implementation;
mimo ... See more keywords
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Published in 2017 at "Filomat"
DOI: 10.2298/fil1713023l
Abstract: In this paper, the generalized orthogonal solutions to the matrix inverse problem $AX=B$ and associated optimal approximation problem are considered. The properties and structure of generalized orthogonal matrices are given, the relationships between the generalized orthogonal…
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Keywords:
matrix inverse;
inverse problem;
generalized orthogonal;
optimal approximation ... See more keywords
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Published in 2018 at "Frontiers in Neuroscience"
DOI: 10.3389/fnins.2018.00115
Abstract: Emerging neural hardware substrates, such as IBM's TrueNorth Neurosynaptic System, can provide an appealing platform for deploying numerical algorithms. For example, a recurrent Hopfield neural network can be used to find the Moore-Penrose generalized inverse…
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Keywords:
matrix inverse;
generalized matrix;
inverse;
ibm truenorth ... See more keywords