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nonlinear programming solver of the matlab® built-in function fmincon  (MathWorks Inc)


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    MathWorks Inc nonlinear programming solver of the matlab® built-in function fmincon
    Nonlinear Programming Solver Of The Matlab® Built In Function Fmincon, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/built-in+solver+fmincon/pm34719763-48-11-9
    Average 90 stars, based on 1 article reviews
    nonlinear programming solver of the matlab® built-in function fmincon - by Bioz Stars, 2026-10
    90/100 stars

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    Article Title: Process modelling, design and technoeconomic Liquid–Liquid Extraction (LLE) optimisation for comparative evaluation of batch vs. continuous pharmaceutical manufacturing of atropine
    Article Snippet: 0.25 < r < 5 (33) 0 < VLLE (34) The optimisation problem is solved in MATLAB using the built-in solver fmincon, implementing the (default) interior-point algorithm with tolerances of 10 -6 .



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    interior point optimization with matlab's built-in solver fmincon  (MathWorks Inc)
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    ( A ) Logarithm of the value of the cost function for a twin experiment initialized with parameters from the Hopf regime but observational data from the SNIC regime. The iterates were generated from <t>fmincon</t> with provided Hessian and gradient functions. ( B ) Bifurcation diagrams produced from parameter estimates for selected iterations. The blue is the initial bifurcation structure, the gray is the true bifurcation structure for the parameters that generated the observed data, the red is the bifurcation structure of the iterates, and the green is the bifurcation structure of the optimal point determined by fmincon
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    ( A ) Logarithm of the value of the cost function for a twin experiment initialized with parameters from the Hopf regime but observational data from the SNIC regime. The iterates were generated from fmincon with provided Hessian and gradient functions. ( B ) Bifurcation diagrams produced from parameter estimates for selected iterations. The blue is the initial bifurcation structure, the gray is the true bifurcation structure for the parameters that generated the observed data, the red is the bifurcation structure of the iterates, and the green is the bifurcation structure of the optimal point determined by fmincon

    Journal: Journal of Mathematical Neuroscience

    Article Title: Data Assimilation Methods for Neuronal State and Parameter Estimation

    doi: 10.1186/s13408-018-0066-8

    Figure Lengend Snippet: ( A ) Logarithm of the value of the cost function for a twin experiment initialized with parameters from the Hopf regime but observational data from the SNIC regime. The iterates were generated from fmincon with provided Hessian and gradient functions. ( B ) Bifurcation diagrams produced from parameter estimates for selected iterations. The blue is the initial bifurcation structure, the gray is the true bifurcation structure for the parameters that generated the observed data, the red is the bifurcation structure of the iterates, and the green is the bifurcation structure of the optimal point determined by fmincon

    Article Snippet: For the following examples, we will consider a local optimizer by using interior point optimization with MATLAB’s built-in solver fmincon .

    Techniques: Generated, Produced