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built-in function fminunc  (MathWorks Inc)


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    MathWorks Inc built-in function fminunc
    Built In Function Fminunc, 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+function+fminunc/10__1002_slash_sam__11680-87-4-7
    Average 90 stars, based on 1 article reviews
    built-in function fminunc - by Bioz Stars, 2026-09
    90/100 stars

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    Article Title: A Family of Maximum Entropy Densities Matching Call Option Prices
    Article Snippet: For this minimization problem we used the built-in function fminunc of MATLAB.

    Article Title: Transfer learning under the Cox model with interval‐censored data
    Article Snippet: Funding information Beijing Municipal Natural Science Foundation, Grant/Award Number: Z210003; National Natural Science Foundation of China, Grant/Award Numbers: 12171328, 12326613, 12171329 Abstract Transfer learning, focusing on information borrowing to address limited sample size issues, has gained increasing attention in recent years.. Our method aims to utilize data from other population groups as a complement to enhance risk factor discernment and failure time prediction among underrepresented subgroups.. However, a literature gap exists in effective knowledge transfer from the source to the target for risk assessment with interval-censored data while accommodating population incomparability and privacy constraints.

    Article Title: Fast-iterative automatic reconstruction method for quantitative phase image with reduced phase perturbations in off-axis digital holographic microscopy
    Article Snippet: This works presents a reconstruction algorithm to recover the complex object information for an off-axis digital holographic microscope (DHM) operating in the telecentric regimen.. We introduce an automatic and fast method to minimize a cost function that finds the best numerical conjugated reference beam to compensate the filtered object information, eliminating any undesired phase perturbation due to the tilt between the reference and object waves.. The novelties of the proposed approach, to the best of our knowledge, are a precise estimation of the interference angle between the object and reference waves, reconstructed phase images without phase perturbations, and reduced processing time.



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