unconstrained minimizer fminsearch Search Results


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MathWorks Inc fminsearch solver
Fminsearch Solver, 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
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fminsearch solver - by Bioz Stars, 2026-04
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MathWorks Inc unconstrained nonlinear minimization procedure fminsearch
Unconstrained Nonlinear Minimization Procedure Fminsearch, 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
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unconstrained nonlinear minimization procedure fminsearch - by Bioz Stars, 2026-04
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MathWorks Inc matlab function fminsearch
Matlab Function Fminsearch, 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
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matlab function fminsearch - by Bioz Stars, 2026-04
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MathWorks Inc unconstrained minimization algorithm fminsearch
Unconstrained Minimization Algorithm Fminsearch, 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
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Average 90 stars, based on 1 article reviews
unconstrained minimization algorithm fminsearch - by Bioz Stars, 2026-04
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MathWorks Inc fminsearch
Model 1 - Histograms of multistart local searches. Objective function values achieved by local searches starting from different points with the <t>FMINSEARCH</t> (Figure .a) , DHC (Figure .b) , and FMINCON (Figure .c) methods. Calculations were carried out in a single processor and the computation time was 10 days for each method. The best values obtained were: 5.367·10 5 (FMINSEARCH), 2.938·10 1 (DHC), and 1.459·10 (FMINCON).
Fminsearch, 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/result/fminsearch/product/MathWorks Inc
Average 90 stars, based on 1 article reviews
fminsearch - by Bioz Stars, 2026-04
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MathWorks Inc unconstrained multivariable minimization algorithm fminsearch
Estimation of the object position using algorithm <t> fminsearch </t> with initial estimate ( p / 2 , r ¯ / 2 ) and use of noise corrupted references and measurements of all range differences.
Unconstrained Multivariable Minimization Algorithm Fminsearch, 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
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unconstrained multivariable minimization algorithm fminsearch - by Bioz Stars, 2026-04
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MathWorks Inc matlab function fminsearch.m
Estimation of the object position using algorithm <t> fminsearch </t> with initial estimate ( p / 2 , r ¯ / 2 ) and use of noise corrupted references and measurements of all range differences.
Matlab Function Fminsearch.M, 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
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matlab function fminsearch.m - by Bioz Stars, 2026-04
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MathWorks Inc fminsearch multidimensional unconstrained nonlinear minimization (nelder-mead)
Estimation of the object position using algorithm <t> fminsearch </t> with initial estimate ( p / 2 , r ¯ / 2 ) and use of noise corrupted references and measurements of all range differences.
Fminsearch Multidimensional Unconstrained Nonlinear Minimization (Nelder Mead), 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
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Average 90 stars, based on 1 article reviews
fminsearch multidimensional unconstrained nonlinear minimization (nelder-mead) - by Bioz Stars, 2026-04
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MathWorks Inc fminsearch.m
Estimation of the object position using algorithm <t> fminsearch </t> with initial estimate ( p / 2 , r ¯ / 2 ) and use of noise corrupted references and measurements of all range differences.
Fminsearch.M, 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/result/fminsearch.m/product/MathWorks Inc
Average 90 stars, based on 1 article reviews
fminsearch.m - by Bioz Stars, 2026-04
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Image Search Results


Model 1 - Histograms of multistart local searches. Objective function values achieved by local searches starting from different points with the FMINSEARCH (Figure .a) , DHC (Figure .b) , and FMINCON (Figure .c) methods. Calculations were carried out in a single processor and the computation time was 10 days for each method. The best values obtained were: 5.367·10 5 (FMINSEARCH), 2.938·10 1 (DHC), and 1.459·10 (FMINCON).

Journal: BMC Systems Biology

Article Title: A cooperative strategy for parameter estimation in large scale systems biology models

doi: 10.1186/1752-0509-6-75

Figure Lengend Snippet: Model 1 - Histograms of multistart local searches. Objective function values achieved by local searches starting from different points with the FMINSEARCH (Figure .a) , DHC (Figure .b) , and FMINCON (Figure .c) methods. Calculations were carried out in a single processor and the computation time was 10 days for each method. The best values obtained were: 5.367·10 5 (FMINSEARCH), 2.938·10 1 (DHC), and 1.459·10 (FMINCON).

Article Snippet: Several local methods are tested: Direct Hill Climbing (DHC), and the MathWorks functions fminsearch (for unconstrained minimization) and fmincon (for constrained minimization).

Techniques:

Model 2 - Histograms of multistart local searches. Objective function values achieved by local searches starting from different points with the FMINSEARCH (Figure .a) , DHC (Figure .b) , and N2FB (Figure .c) methods. Calculations were carried out in a single processor; the computation time was 240 hours for each method. The best values obtained were: 3.046·10 3 (FMINSEARCH), 7.601·10 2 (DHC), and 1.3863·10 3 (N2FB). Note that the x axis is logarithmic in order to represent the large dispersion of the results.

Journal: BMC Systems Biology

Article Title: A cooperative strategy for parameter estimation in large scale systems biology models

doi: 10.1186/1752-0509-6-75

Figure Lengend Snippet: Model 2 - Histograms of multistart local searches. Objective function values achieved by local searches starting from different points with the FMINSEARCH (Figure .a) , DHC (Figure .b) , and N2FB (Figure .c) methods. Calculations were carried out in a single processor; the computation time was 240 hours for each method. The best values obtained were: 3.046·10 3 (FMINSEARCH), 7.601·10 2 (DHC), and 1.3863·10 3 (N2FB). Note that the x axis is logarithmic in order to represent the large dispersion of the results.

Article Snippet: Several local methods are tested: Direct Hill Climbing (DHC), and the MathWorks functions fminsearch (for unconstrained minimization) and fmincon (for constrained minimization).

Techniques: Dispersion

Estimation of the object position using algorithm  fminsearch  with initial estimate ( p / 2 , r ¯ / 2 ) and use of noise corrupted references and measurements of all range differences.

Journal: PLoS ONE

Article Title: Optimal reduction and conversion of range-difference measurements for positioning

doi: 10.1371/journal.pone.0273617

Figure Lengend Snippet: Estimation of the object position using algorithm fminsearch with initial estimate ( p / 2 , r ¯ / 2 ) and use of noise corrupted references and measurements of all range differences.

Article Snippet: To find the object position, the unconstrained multivariable minimization algorithm fminsearch in MATLAB has been used.

Techniques: