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interior point convex optimization algorithm  (MathWorks Inc)


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    MathWorks Inc interior point convex optimization algorithm
    Interior Point Convex Optimization Algorithm, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 96/100, based on 3333 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/interior+point+convex+optimization+algorithm/Optimization+Toolbox/pm40573654-41-10-22
    Average 96 stars, based on 3333 article reviews
    interior point convex optimization algorithm - by Bioz Stars, 2026-11
    96/100 stars

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    Article Title: Equivalent source method based near field acoustic holography using multipath orthogonal matching pursuit
    Article Snippet: Applied Acoustics 187 (2022) 108501 Contents lists available at ScienceDirect Applied Acoustics journal homepage: www.elsevier .com/locate /apacoust Equivalent source method based near field acoustic holography using multipath orthogonal matching pursuit https://doi.org/10.1016/j.apacoust.2021.108501 0003-682X/ 2021 Elsevier Ltd. All rights reserved.. ⇑ Corresponding author.. E-mail address: ksri@iitm.ac.in (K. Srinivasan).

    Article Title: On Data Selection and Regularization for Underdetermined Vibro-Acoustic Source Identification
    Article Snippet: Most previous studies on the CS algorithm have used the interior-point convex optimization algorithm, implemented in a publicly available commercial toolbox (CVX: MATLAB software (Version 2.1)) for disciplined convex programming), to solve the inverse problem [ ].

    Article Title: A comparison of iterative sparse equivalent source methods for near-field acoustical holography.
    Article Snippet: In the majority of the existing publications on the subject,1–3,7–10 the inverse problem has been solved using the interior-point convex optimization algorithm implemented in the publicly available MATLAB toolbox CVX (MATLAB library for convex optimization).11 Two main drawbacks are associated with that solution: (a) The method is quite slow when applied to large scale problems and (b) source code is difficult and/or expensive to get for commercial applications.

    Article Title: On Data Selection and Regularization for Underdetermined Vibro-Acoustic Source Identification.
    Article Snippet: Most previous studies on the CS algorithm have used the interior-point convex optimization algorithm, implemented in a publicly available commercial toolbox (CVX: MATLAB software (Version 2.1)) for disciplined convex programming), to solve the inverse problem [17].



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