convex optimization tool (MathWorks Inc)

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MathWorks Inc convex optimization tool
Convex Optimization Tool, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 93/100, based on 11 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/simulation+tools+matlab/MATLAB+Production+Server/pmc11914269-150-16-21
Average 93 stars, based on 11 article reviews

convex optimization tool - by Bioz Stars, 2026-10

93/100 stars

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Article Title: Design and validation of a flexible framework for developing generic digital twins for Industry 4.0
Article Snippet: .. The PredictAPI interface defined in the Predict technical functionalities of the AAS SharedDomainLogic (Fig. ) makes available the predict call that is implemented as a MatlabProductionServer service which calculates the output (y) based on the predictors (u) and the mathematical model (M): \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\begin{aligned} y=predict(M,u) \end{aligned}$$\end{document} The DT_L1_CubePacker01 AAS contains simulation and prediction mathematical models ( SimulationModel , PredictionModel ) (Table ) created in MATLAB environment. .. The models were created offline (outside DT) using the Classification Learner MATLAB application.

Article Title: Design and validation of a flexible framework for developing generic digital twins for Industry 4.0.
Article Snippet: .. The PredictAPI interface defined in the Predict technical functionalities of the AAS SharedDomainLogic (Fig. 5) makes available the predict call that is implemented as a MatlabProductionServer service which calculates the output (y) based on the predictors (u) and the mathematical model (M): y = predict(M, u) The DT_L1_CubePacker01 AAS contains simulation and prediction mathematical models (SimulationModel, PredictionModel) (Table 2) created in MATLAB environment. .. The models were created offline (outside DT) using the Classification Learner MATLAB application.

Article Title: Design and validation of a flexible framework for developing generic digital twins for Industry 4.0
Article Snippet: .. 1.4 , DTTF calls the DownloadSimulationModelFromAAS service via a specific REST API. The MATLAB production Server (mps) downloads the mathematical model from the AAS standardized SM which contains the model file.. ..

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Article Title: Phase behavior of nanoconfined continental shale oil and reservoir fluid phases in the Gulong shale of the Songliao basin
Article Snippet: .. To get different phase states varying with shale physical properties and model production curves for a well, a MATLAB program for simulating phase behavior was coded to include parameters, including porosity, permeability, and pore size. ..

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