mex executables Search Results


executable mex files  (MathWorks Inc)
95
MathWorks Inc executable mex files
Executable Mex Files, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 95/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/executable mex files/product/MathWorks Inc
Average 95 stars, based on 1 article reviews
executable mex files - by Bioz Stars, 2026-04
95/100 stars
  Buy from Supplier
mex files  (MathWorks Inc)
90
MathWorks Inc mex files
Mex Files, 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/mex files/product/MathWorks Inc
Average 90 stars, based on 1 article reviews
mex files - by Bioz Stars, 2026-04
90/100 stars
  Buy from Supplier
mex file mtimesx  (MathWorks Inc)
90
MathWorks Inc mex file mtimesx
Mex File Mtimesx, 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/mex file mtimesx/product/MathWorks Inc
Average 90 stars, based on 1 article reviews
mex file mtimesx - by Bioz Stars, 2026-04
90/100 stars
  Buy from Supplier
matlab executable (mex)  (MathWorks Inc)
90
MathWorks Inc matlab executable (mex)
Matlab Executable (Mex), 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 executable (mex)/product/MathWorks Inc
Average 90 stars, based on 1 article reviews
matlab executable (mex) - by Bioz Stars, 2026-04
90/100 stars
  Buy from Supplier
odesd mex  (MathWorks Inc)
90
MathWorks Inc odesd mex
Performance comparison without parameter sensitivities. Performance comparison for integration of ODE-based systems biology models without parameter sensitivities. ( A ) Computation times, ( B ) number of integration steps, ( C ) number of r.h.s. evaluations f ( x ), and ( D ) number of evaluations of the Jacobian J f ( x ) as a function of the relative numerical tolerance. Symbols specify the integrators ode15s (open red squares), radau5 (open green diamonds), <t>odeSD</t> (open black circles), and <t>odeSD</t> <t>mex</t> (filled black circles), respectively. Performance metrics are normalized to the corresponding measures for cvode and averaged (mean ± std.) over all models, which were integrated over the time spans given in Table ; the dashed line indicates performance equal to cvode . ( E ) Computation times and ( F ) number of integration steps as a function of numerical precision (see main text for definition) in analogy to ( A ) and ( B ).
Odesd Mex, 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/odesd mex/product/MathWorks Inc
Average 90 stars, based on 1 article reviews
odesd mex - by Bioz Stars, 2026-04
90/100 stars
  Buy from Supplier
executable (mex) file  (MathWorks Inc)
90
MathWorks Inc executable (mex) file
Performance comparison without parameter sensitivities. Performance comparison for integration of ODE-based systems biology models without parameter sensitivities. ( A ) Computation times, ( B ) number of integration steps, ( C ) number of r.h.s. evaluations f ( x ), and ( D ) number of evaluations of the Jacobian J f ( x ) as a function of the relative numerical tolerance. Symbols specify the integrators ode15s (open red squares), radau5 (open green diamonds), <t>odeSD</t> (open black circles), and <t>odeSD</t> <t>mex</t> (filled black circles), respectively. Performance metrics are normalized to the corresponding measures for cvode and averaged (mean ± std.) over all models, which were integrated over the time spans given in Table ; the dashed line indicates performance equal to cvode . ( E ) Computation times and ( F ) number of integration steps as a function of numerical precision (see main text for definition) in analogy to ( A ) and ( B ).
Executable (Mex) File, 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/executable (mex) file/product/MathWorks Inc
Average 90 stars, based on 1 article reviews
executable (mex) file - by Bioz Stars, 2026-04
90/100 stars
  Buy from Supplier
executable (mex) files  (MathWorks Inc)
90
MathWorks Inc executable (mex) files
Performance comparison without parameter sensitivities. Performance comparison for integration of ODE-based systems biology models without parameter sensitivities. ( A ) Computation times, ( B ) number of integration steps, ( C ) number of r.h.s. evaluations f ( x ), and ( D ) number of evaluations of the Jacobian J f ( x ) as a function of the relative numerical tolerance. Symbols specify the integrators ode15s (open red squares), radau5 (open green diamonds), <t>odeSD</t> (open black circles), and <t>odeSD</t> <t>mex</t> (filled black circles), respectively. Performance metrics are normalized to the corresponding measures for cvode and averaged (mean ± std.) over all models, which were integrated over the time spans given in Table ; the dashed line indicates performance equal to cvode . ( E ) Computation times and ( F ) number of integration steps as a function of numerical precision (see main text for definition) in analogy to ( A ) and ( B ).
Executable (Mex) Files, 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/executable (mex) files/product/MathWorks Inc
Average 90 stars, based on 1 article reviews
executable (mex) files - by Bioz Stars, 2026-04
90/100 stars
  Buy from Supplier
c++ mex file  (MathWorks Inc)
90
MathWorks Inc c++ mex file
Performance comparison without parameter sensitivities. Performance comparison for integration of ODE-based systems biology models without parameter sensitivities. ( A ) Computation times, ( B ) number of integration steps, ( C ) number of r.h.s. evaluations f ( x ), and ( D ) number of evaluations of the Jacobian J f ( x ) as a function of the relative numerical tolerance. Symbols specify the integrators ode15s (open red squares), radau5 (open green diamonds), <t>odeSD</t> (open black circles), and <t>odeSD</t> <t>mex</t> (filled black circles), respectively. Performance metrics are normalized to the corresponding measures for cvode and averaged (mean ± std.) over all models, which were integrated over the time spans given in Table ; the dashed line indicates performance equal to cvode . ( E ) Computation times and ( F ) number of integration steps as a function of numerical precision (see main text for definition) in analogy to ( A ) and ( B ).
C++ Mex File, 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/c++ mex file/product/MathWorks Inc
Average 90 stars, based on 1 article reviews
c++ mex file - by Bioz Stars, 2026-04
90/100 stars
  Buy from Supplier
m atlab executable (mex) files  (MathWorks Inc)
90
MathWorks Inc m atlab executable (mex) files
Performance comparison without parameter sensitivities. Performance comparison for integration of ODE-based systems biology models without parameter sensitivities. ( A ) Computation times, ( B ) number of integration steps, ( C ) number of r.h.s. evaluations f ( x ), and ( D ) number of evaluations of the Jacobian J f ( x ) as a function of the relative numerical tolerance. Symbols specify the integrators ode15s (open red squares), radau5 (open green diamonds), <t>odeSD</t> (open black circles), and <t>odeSD</t> <t>mex</t> (filled black circles), respectively. Performance metrics are normalized to the corresponding measures for cvode and averaged (mean ± std.) over all models, which were integrated over the time spans given in Table ; the dashed line indicates performance equal to cvode . ( E ) Computation times and ( F ) number of integration steps as a function of numerical precision (see main text for definition) in analogy to ( A ) and ( B ).
M Atlab Executable (Mex) Files, 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/m atlab executable (mex) files/product/MathWorks Inc
Average 90 stars, based on 1 article reviews
m atlab executable (mex) files - by Bioz Stars, 2026-04
90/100 stars
  Buy from Supplier
mex executables  (MathWorks Inc)
90
MathWorks Inc mex executables
Performance comparison without parameter sensitivities. Performance comparison for integration of ODE-based systems biology models without parameter sensitivities. ( A ) Computation times, ( B ) number of integration steps, ( C ) number of r.h.s. evaluations f ( x ), and ( D ) number of evaluations of the Jacobian J f ( x ) as a function of the relative numerical tolerance. Symbols specify the integrators ode15s (open red squares), radau5 (open green diamonds), <t>odeSD</t> (open black circles), and <t>odeSD</t> <t>mex</t> (filled black circles), respectively. Performance metrics are normalized to the corresponding measures for cvode and averaged (mean ± std.) over all models, which were integrated over the time spans given in Table ; the dashed line indicates performance equal to cvode . ( E ) Computation times and ( F ) number of integration steps as a function of numerical precision (see main text for definition) in analogy to ( A ) and ( B ).
Mex Executables, 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/mex executables/product/MathWorks Inc
Average 90 stars, based on 1 article reviews
mex executables - by Bioz Stars, 2026-04
90/100 stars
  Buy from Supplier
mex (matlab executable) interfaces  (MathWorks Inc)
90
MathWorks Inc mex (matlab executable) interfaces
Performance comparison without parameter sensitivities. Performance comparison for integration of ODE-based systems biology models without parameter sensitivities. ( A ) Computation times, ( B ) number of integration steps, ( C ) number of r.h.s. evaluations f ( x ), and ( D ) number of evaluations of the Jacobian J f ( x ) as a function of the relative numerical tolerance. Symbols specify the integrators ode15s (open red squares), radau5 (open green diamonds), <t>odeSD</t> (open black circles), and <t>odeSD</t> <t>mex</t> (filled black circles), respectively. Performance metrics are normalized to the corresponding measures for cvode and averaged (mean ± std.) over all models, which were integrated over the time spans given in Table ; the dashed line indicates performance equal to cvode . ( E ) Computation times and ( F ) number of integration steps as a function of numerical precision (see main text for definition) in analogy to ( A ) and ( B ).
Mex (Matlab Executable) Interfaces, 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/mex (matlab executable) interfaces/product/MathWorks Inc
Average 90 stars, based on 1 article reviews
mex (matlab executable) interfaces - by Bioz Stars, 2026-04
90/100 stars
  Buy from Supplier

Image Search Results


Performance comparison without parameter sensitivities. Performance comparison for integration of ODE-based systems biology models without parameter sensitivities. ( A ) Computation times, ( B ) number of integration steps, ( C ) number of r.h.s. evaluations f ( x ), and ( D ) number of evaluations of the Jacobian J f ( x ) as a function of the relative numerical tolerance. Symbols specify the integrators ode15s (open red squares), radau5 (open green diamonds), odeSD (open black circles), and odeSD mex (filled black circles), respectively. Performance metrics are normalized to the corresponding measures for cvode and averaged (mean ± std.) over all models, which were integrated over the time spans given in Table ; the dashed line indicates performance equal to cvode . ( E ) Computation times and ( F ) number of integration steps as a function of numerical precision (see main text for definition) in analogy to ( A ) and ( B ).

Journal: BMC Systems Biology

Article Title: A specialized ODE integrator for the efficient computation of parameter sensitivities

doi: 10.1186/1752-0509-6-46

Figure Lengend Snippet: Performance comparison without parameter sensitivities. Performance comparison for integration of ODE-based systems biology models without parameter sensitivities. ( A ) Computation times, ( B ) number of integration steps, ( C ) number of r.h.s. evaluations f ( x ), and ( D ) number of evaluations of the Jacobian J f ( x ) as a function of the relative numerical tolerance. Symbols specify the integrators ode15s (open red squares), radau5 (open green diamonds), odeSD (open black circles), and odeSD mex (filled black circles), respectively. Performance metrics are normalized to the corresponding measures for cvode and averaged (mean ± std.) over all models, which were integrated over the time spans given in Table ; the dashed line indicates performance equal to cvode . ( E ) Computation times and ( F ) number of integration steps as a function of numerical precision (see main text for definition) in analogy to ( A ) and ( B ).

Article Snippet: a We note that it is not possible to execute odeSD mex in the 64-bit Windows version of Matlab R2010a as well as in 64-bit Linux versions prior to R2010a in our testing environments, for reasons of memory allocation problems in Matlab.

Techniques: Comparison

Performance comparison with parameter sensitivities. Performance comparison with parameter sensitivities. ( A ) Computation times for the individual models listed in Table with relative tolerance of 10 −6 using odeSD (white bars), odeSD mex (black), ode15s (red), radau5 (green), and cvodes (blue). Due to the explosion in compute time, the three largest steady-state models were not evaluated with ode15s and radau5 . ( B ) CPU times with sensitivity calculation as in ( A ) relative to CPU times without sensitivity calculation. ( C ) Average, normalized (see below) CPU times with sensitivities as a function of the relative numerical tolerance for odeSD (open circles) and odeSD mex (filled circles) relative to cvodes . ( D ) Relative numbers of integration steps (open black circles), of function evaluations f ( x ) (filled black circles), and of evaluations of the Jacobians J · (·) (open red squares) for odeSD mex compared to cvodes , respectively. In all cases, model and sensitivity equations were integrated for the time spans shown in Table . Performance metrics in ( C , D ) are normalized to the corresponding measures for cvodes and averaged (mean ± std.); the dashed line indicates performance equal to cvodes .

Journal: BMC Systems Biology

Article Title: A specialized ODE integrator for the efficient computation of parameter sensitivities

doi: 10.1186/1752-0509-6-46

Figure Lengend Snippet: Performance comparison with parameter sensitivities. Performance comparison with parameter sensitivities. ( A ) Computation times for the individual models listed in Table with relative tolerance of 10 −6 using odeSD (white bars), odeSD mex (black), ode15s (red), radau5 (green), and cvodes (blue). Due to the explosion in compute time, the three largest steady-state models were not evaluated with ode15s and radau5 . ( B ) CPU times with sensitivity calculation as in ( A ) relative to CPU times without sensitivity calculation. ( C ) Average, normalized (see below) CPU times with sensitivities as a function of the relative numerical tolerance for odeSD (open circles) and odeSD mex (filled circles) relative to cvodes . ( D ) Relative numbers of integration steps (open black circles), of function evaluations f ( x ) (filled black circles), and of evaluations of the Jacobians J · (·) (open red squares) for odeSD mex compared to cvodes , respectively. In all cases, model and sensitivity equations were integrated for the time spans shown in Table . Performance metrics in ( C , D ) are normalized to the corresponding measures for cvodes and averaged (mean ± std.); the dashed line indicates performance equal to cvodes .

Article Snippet: a We note that it is not possible to execute odeSD mex in the 64-bit Windows version of Matlab R2010a as well as in 64-bit Linux versions prior to R2010a in our testing environments, for reasons of memory allocation problems in Matlab.

Techniques: Comparison

Precision/work diagrams with parameter sensitivities. Precision-work diagrams for integration with parameter sensitivities. ( A-G ) Computation times for all models for which the systems dynamics were solved with all ODE integrators (see X-axis for model specifications) as a function of precision using odeSD (open black circles), odeSD mex (filled black circles), ode15s (red squares), radau5 (green diamonds), and cvodes (blue squares). The models were integrated for the time spans shown in Table .

Journal: BMC Systems Biology

Article Title: A specialized ODE integrator for the efficient computation of parameter sensitivities

doi: 10.1186/1752-0509-6-46

Figure Lengend Snippet: Precision/work diagrams with parameter sensitivities. Precision-work diagrams for integration with parameter sensitivities. ( A-G ) Computation times for all models for which the systems dynamics were solved with all ODE integrators (see X-axis for model specifications) as a function of precision using odeSD (open black circles), odeSD mex (filled black circles), ode15s (red squares), radau5 (green diamonds), and cvodes (blue squares). The models were integrated for the time spans shown in Table .

Article Snippet: a We note that it is not possible to execute odeSD mex in the 64-bit Windows version of Matlab R2010a as well as in 64-bit Linux versions prior to R2010a in our testing environments, for reasons of memory allocation problems in Matlab.

Techniques: