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gradient-based solver fmincon  (MathWorks Inc)


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    MathWorks Inc gradient-based solver fmincon
    Gradient Based Solver 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/gradient+based+solver+fmincon/pm31481246-90-6-10
    Average 90 stars, based on 1 article reviews
    gradient-based solver fmincon - by Bioz Stars, 2026-11
    90/100 stars

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    Article Title: Towards Large Diameter Transmit Coils for 7‐T Head Imaging: A Detailed Comparison of a Set of Transmit Element Design Concepts
    Article Snippet: The voxel‐wise SAR efficiencies were estimated employing an optimization based on the fmincon solver in Matlab 2021a.

    Article Title: Optimising Embodied Carbon in Axial Tension Piles: A Comparative Study of Concrete, Steel, and Timber Piles Using a Hybrid Genetic Approach
    Article Snippet: Once the GA converged to a promising solution after 50 stall generations, a refined local search was applied using MATLAB’s fmincon solver, which performed constrained nonlinear optimisation.

    Article Title: Towards Large Diameter Transmit Coils for 7-T Head Imaging: A Detailed Comparison of a Set of Transmit Element Design Concepts.
    Article Snippet: The voxel- wise SAR efficiencies were estimated employing an optimization based on the fmincon solver in Matlab 2021a.

    Article Title: Optimising Embodied Carbon in Axial Tension Piles: A Comparative Study of Concrete, Steel, and Timber Piles Using a Hybrid Genetic Approach.
    Article Snippet: • Once the GA converged to a promising solution after 50 stall generations, a refined local search was applied using MATLAB’s fmincon solver, which performed constrained nonlinear optimisation.

    Article Title: Non-invasive quantification of total hemoglobin concentrations by visible-light spectroscopic optical coherence tomography: a validation study on healthy volunteers
    Article Snippet: In this work, we obtained [tHb] VO with the MATLAB (R2022a) solver fmincon with stopping criteria: 10 −4 function tolerance, 10 −4 tolerance on the current point, a maximum of 500 function evaluations, and a limit of 500 iterations.

    Article Title: Modeling BK Virus Infection in Renal Transplant Recipients.
    Article Snippet: For each patient, we solve the following objective function using the N observations: θOLS = arg min θ∈Ωθ N ∑ j=1 (Yj − f (x(tj), tj; θ))2. (7) The parameters are estimated using Matlab’s built-in solver fmincon and the Multistart feature [28].

    Article Title: Personalizing motion sickness models: estimation and statistical modeling of individual-specific parameters
    Article Snippet: To fit the model parameters, a constrained optimisation problem is defined and solved in MATLAB with the fmincon solver using the sqp algorithm.

    Article Title: A Mathematical Model of Cell-Free Transcription-Translation with Plasmid Crosstalk
    Article Snippet: The fmincon solver in MATLAB was used for optimization with the D ow nloaded from https://academ ic.oup.com /synbio/advance-article/doi/10.1093/synbio/ysaf011/8162440 by guest on 19 June 2025 UN CO RR EC TE D MA NU SC RI PT feasibility mode, which minimizes the infeasibility instead of directly attempting to optimize for the objective.



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    Average elapsed time for CDT, MUSIC, and WBAF based estimators. Experiments were run using MATLAB version: 9.4.0 (R2018a) on a computer with an Intel Xeon(R) CPU E5-2630 v3 processor running at 2.40 GHz using 32 GB of RAM.

    Journal: IEEE transactions on signal processing : a publication of the IEEE Signal Processing Society

    Article Title: Parametric Signal Estimation Using the Cumulative Distribution Transform

    doi: 10.1109/tsp.2020.2997181

    Figure Lengend Snippet: Average elapsed time for CDT, MUSIC, and WBAF based estimators. Experiments were run using MATLAB version: 9.4.0 (R2018a) on a computer with an Intel Xeon(R) CPU E5-2630 v3 processor running at 2.40 GHz using 32 GB of RAM.

    Article Snippet: To implement a continuous delay estimator, an optimization problem is designed that provides maximum likelihood estimates, τ ̃ = argmax τ − ∑ i = 0 N − 1 z η ( t i ) z ( t i − τ ) (40) To solve this optimization problem we exploit a gradient based nonlinear programming solver fmincon in MATLAB [ 43 ].

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