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Published in 2022 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2022.3204408
Abstract: Multi-direction iterative (MUL-DI) algorithm is an efficient algorithm for large-scale models, and it establishes a theoretical linkage between least squares (LS) and gradient descent (GD) algorithms. However, it involves Givens transformation and dense matrix calculation…
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Keywords:
models missing;
direction iterative;
algorithm;
separable nonlinear ... See more keywords
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Published in 2022 at "IEEE Transactions on Circuits and Systems II: Express Briefs"
DOI: 10.1109/tcsii.2021.3115111
Abstract: In this brief, we classify the instantaneous response of resistors with memory into three types: linear (L), separable nonlinear (SN), and non-separable nonlinear (NSN). A particular model of an NSN-type memristive device is introduced and…
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Keywords:
rich dynamics;
response;
separable nonlinear;
memristive device ... See more keywords
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Published in 2022 at "IEEE Transactions on Systems, Man, and Cybernetics: Systems"
DOI: 10.1109/tsmc.2022.3165323
Abstract: The separable nonlinear least-squares (SNLLS) problems considered in this article frequently appear in a wide range of research fields, such as machine learning, computer vision, system identification, and signal processing. The variable projection algorithm proposed…
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Keywords:
projection;
implementation variable;
iterative implementation;
variable projection ... See more keywords
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Published in 2020 at "Complexity"
DOI: 10.1155/2020/6403641
Abstract: Nonlinear dynamic models are widely used for characterizing processes that govern complex biological pathway systems. Over the past decade, validation and further development of these models became possible due to data collected via high-throughput experiments…
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Keywords:
separable nonlinear;
least squares;
dynamic models;
nonlinear least ... See more keywords