32-bit matlab Search Results


matlab 32-bit software  (MathWorks Inc)
90
MathWorks Inc matlab 32-bit software
Matlab 32 Bit Software, 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 2013a  (MathWorks Inc)
90
MathWorks Inc matlab 2013a
Matlab 2013a, 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/matlab 2013a/product/MathWorks Inc
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matlab 2013a - by Bioz Stars, 2026-04
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compiler runtime (mcr) r2013a (windows version, 32-bit)  (MathWorks Inc)
90
MathWorks Inc compiler runtime (mcr) r2013a (windows version, 32-bit)
Compiler Runtime (Mcr) R2013a (Windows Version, 32 Bit), 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/compiler runtime (mcr) r2013a (windows version, 32-bit)/product/MathWorks Inc
Average 90 stars, based on 1 article reviews
compiler runtime (mcr) r2013a (windows version, 32-bit) - by Bioz Stars, 2026-04
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32-bit matlab  (MathWorks Inc)
93
MathWorks Inc 32-bit matlab
32 Bit Matlab, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 93/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/32-bit matlab/product/MathWorks Inc
Average 93 stars, based on 1 article reviews
32-bit matlab - by Bioz Stars, 2026-04
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matlab-r2014-32 bit tool  (MathWorks Inc)
90
MathWorks Inc matlab-r2014-32 bit tool
Matlab R2014 32 Bit Tool, 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/matlab-r2014-32 bit tool/product/MathWorks Inc
Average 90 stars, based on 1 article reviews
matlab-r2014-32 bit tool - by Bioz Stars, 2026-04
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matlab version r2010a  (MathWorks Inc)
90
MathWorks Inc matlab version r2010a
Matlab Version R2010a, 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/matlab version r2010a/product/MathWorks Inc
Average 90 stars, based on 1 article reviews
matlab version r2010a - by Bioz Stars, 2026-04
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7.9.0.529 (r2009b) 32-bit  (MathWorks Inc)
90
MathWorks Inc 7.9.0.529 (r2009b) 32-bit
Convergence curves. Representative results of parameter estimation runs of the six benchmarks, carried out with the eSS method. The curves plot the (logarithmic) objective function value as a function of the (logarithmic) computation time. For ease of visualization, the values in the curves have been divided by the final value reached by each of them, i.e. the y axis plots J / J f . Note that, since the benchmarks have different number of variables and data points, and different noise levels, the objective function values are not equivalent for different models. Results obtained on a computer with Intel Xeon Quadcore processor, 2.50 GHz, using Matlab 7.9.0.529 <t>(R2009b)</t> 32-bit.
7.9.0.529 (R2009b) 32 Bit, 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/7.9.0.529 (r2009b) 32-bit/product/MathWorks Inc
Average 90 stars, based on 1 article reviews
7.9.0.529 (r2009b) 32-bit - by Bioz Stars, 2026-04
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matlab version r2011b  (MathWorks Inc)
90
MathWorks Inc matlab version r2011b
Convergence curves. Representative results of parameter estimation runs of the six benchmarks, carried out with the eSS method. The curves plot the (logarithmic) objective function value as a function of the (logarithmic) computation time. For ease of visualization, the values in the curves have been divided by the final value reached by each of them, i.e. the y axis plots J / J f . Note that, since the benchmarks have different number of variables and data points, and different noise levels, the objective function values are not equivalent for different models. Results obtained on a computer with Intel Xeon Quadcore processor, 2.50 GHz, using Matlab 7.9.0.529 <t>(R2009b)</t> 32-bit.
Matlab Version R2011b, 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/matlab version r2011b/product/MathWorks Inc
Average 90 stars, based on 1 article reviews
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r2014b (32-bit) with psychtoolbox-3 extensions  (MathWorks Inc)
90
MathWorks Inc r2014b (32-bit) with psychtoolbox-3 extensions
Convergence curves. Representative results of parameter estimation runs of the six benchmarks, carried out with the eSS method. The curves plot the (logarithmic) objective function value as a function of the (logarithmic) computation time. For ease of visualization, the values in the curves have been divided by the final value reached by each of them, i.e. the y axis plots J / J f . Note that, since the benchmarks have different number of variables and data points, and different noise levels, the objective function values are not equivalent for different models. Results obtained on a computer with Intel Xeon Quadcore processor, 2.50 GHz, using Matlab 7.9.0.529 <t>(R2009b)</t> 32-bit.
R2014b (32 Bit) With Psychtoolbox 3 Extensions, 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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32-bit version r2012a  (MathWorks Inc)
90
MathWorks Inc 32-bit version r2012a
Convergence curves. Representative results of parameter estimation runs of the six benchmarks, carried out with the eSS method. The curves plot the (logarithmic) objective function value as a function of the (logarithmic) computation time. For ease of visualization, the values in the curves have been divided by the final value reached by each of them, i.e. the y axis plots J / J f . Note that, since the benchmarks have different number of variables and data points, and different noise levels, the objective function values are not equivalent for different models. Results obtained on a computer with Intel Xeon Quadcore processor, 2.50 GHz, using Matlab 7.9.0.529 <t>(R2009b)</t> 32-bit.
32 Bit Version R2012a, 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/32-bit version r2012a/product/MathWorks Inc
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32-bit version r2012a - by Bioz Stars, 2026-04
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matlab r2012b (32-bit)  (MathWorks Inc)
90
MathWorks Inc matlab r2012b (32-bit)
Convergence curves. Representative results of parameter estimation runs of the six benchmarks, carried out with the eSS method. The curves plot the (logarithmic) objective function value as a function of the (logarithmic) computation time. For ease of visualization, the values in the curves have been divided by the final value reached by each of them, i.e. the y axis plots J / J f . Note that, since the benchmarks have different number of variables and data points, and different noise levels, the objective function values are not equivalent for different models. Results obtained on a computer with Intel Xeon Quadcore processor, 2.50 GHz, using Matlab 7.9.0.529 <t>(R2009b)</t> 32-bit.
Matlab R2012b (32 Bit), 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/matlab r2012b (32-bit)/product/MathWorks Inc
Average 90 stars, based on 1 article reviews
matlab r2012b (32-bit) - by Bioz Stars, 2026-04
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version 8.1.0.604 (r2013a, 32-bit)  (MathWorks Inc)
90
MathWorks Inc version 8.1.0.604 (r2013a, 32-bit)
Convergence curves. Representative results of parameter estimation runs of the six benchmarks, carried out with the eSS method. The curves plot the (logarithmic) objective function value as a function of the (logarithmic) computation time. For ease of visualization, the values in the curves have been divided by the final value reached by each of them, i.e. the y axis plots J / J f . Note that, since the benchmarks have different number of variables and data points, and different noise levels, the objective function values are not equivalent for different models. Results obtained on a computer with Intel Xeon Quadcore processor, 2.50 GHz, using Matlab 7.9.0.529 <t>(R2009b)</t> 32-bit.
Version 8.1.0.604 (R2013a, 32 Bit), 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/version 8.1.0.604 (r2013a, 32-bit)/product/MathWorks Inc
Average 90 stars, based on 1 article reviews
version 8.1.0.604 (r2013a, 32-bit) - by Bioz Stars, 2026-04
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Image Search Results


Convergence curves. Representative results of parameter estimation runs of the six benchmarks, carried out with the eSS method. The curves plot the (logarithmic) objective function value as a function of the (logarithmic) computation time. For ease of visualization, the values in the curves have been divided by the final value reached by each of them, i.e. the y axis plots J / J f . Note that, since the benchmarks have different number of variables and data points, and different noise levels, the objective function values are not equivalent for different models. Results obtained on a computer with Intel Xeon Quadcore processor, 2.50 GHz, using Matlab 7.9.0.529 (R2009b) 32-bit.

Journal: BMC Systems Biology

Article Title: BioPreDyn-bench: a suite of benchmark problems for dynamic modelling in systems biology

doi: 10.1186/s12918-015-0144-4

Figure Lengend Snippet: Convergence curves. Representative results of parameter estimation runs of the six benchmarks, carried out with the eSS method. The curves plot the (logarithmic) objective function value as a function of the (logarithmic) computation time. For ease of visualization, the values in the curves have been divided by the final value reached by each of them, i.e. the y axis plots J / J f . Note that, since the benchmarks have different number of variables and data points, and different noise levels, the objective function values are not equivalent for different models. Results obtained on a computer with Intel Xeon Quadcore processor, 2.50 GHz, using Matlab 7.9.0.529 (R2009b) 32-bit.

Article Snippet: Results obtained on a computer with Intel Xeon Quadcore processor, 2.50 GHz, using Matlab 7.9.0.529 (R2009b) 32-bit.

Techniques:

Dispersion of convergence curves. Results of 20 parameter estimation runs of the B4 benchmark (CHO cells) with the eSS method. The figures plot the objective function value as a function of the computation time (in log-log scale). Results obtained on a computer with Intel Xeon Quadcore processor, 2.50 GHz, using Matlab 7.9.0.529 (R2009b) 32-bit.

Journal: BMC Systems Biology

Article Title: BioPreDyn-bench: a suite of benchmark problems for dynamic modelling in systems biology

doi: 10.1186/s12918-015-0144-4

Figure Lengend Snippet: Dispersion of convergence curves. Results of 20 parameter estimation runs of the B4 benchmark (CHO cells) with the eSS method. The figures plot the objective function value as a function of the computation time (in log-log scale). Results obtained on a computer with Intel Xeon Quadcore processor, 2.50 GHz, using Matlab 7.9.0.529 (R2009b) 32-bit.

Article Snippet: Results obtained on a computer with Intel Xeon Quadcore processor, 2.50 GHz, using Matlab 7.9.0.529 (R2009b) 32-bit.

Techniques: Dispersion