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Image Search 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 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
Techniques:
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
Techniques: Dispersion
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
Techniques: