Review



ode45 solver  (MathWorks Inc)


Bioz Verified Symbol MathWorks Inc is a verified supplier  
  • Logo
  • About
  • News
  • Press Release
  • Team
  • Advisors
  • Partners
  • Contact
  • Bioz Stars
  • Bioz vStars
    • 90
      Buy from Supplier

    Structured Review

    MathWorks Inc ode45 solver
    Model fitting results showing the comparison between the predicted TB incidence (solid curve) and the normalized observed data (dots). The model was calibrated by minimizing the sum of squared errors (SSE) between the model output and the data using a least-squares approach. The system of ordinary differential equations was solved using MATLAB's <t>ode45</t> solver, and parameter optimization was carried out using MATLAB's fminsearch function based on the Nelder–Mead simplex method.
    Ode45 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
    https://www.bioz.com/result/ode45 solver/product/MathWorks Inc
    Average 90 stars, based on 1 article reviews
    ode45 solver - by Bioz Stars, 2026-03
    90/100 stars

    Images

    1) Product Images from "Modelling the potential impact of TB-funded prevention programs on the transmission dynamics of TB"

    Article Title: Modelling the potential impact of TB-funded prevention programs on the transmission dynamics of TB

    Journal: Infectious Disease Modelling

    doi: 10.1016/j.idm.2025.05.010

    Model fitting results showing the comparison between the predicted TB incidence (solid curve) and the normalized observed data (dots). The model was calibrated by minimizing the sum of squared errors (SSE) between the model output and the data using a least-squares approach. The system of ordinary differential equations was solved using MATLAB's ode45 solver, and parameter optimization was carried out using MATLAB's fminsearch function based on the Nelder–Mead simplex method.
    Figure Legend Snippet: Model fitting results showing the comparison between the predicted TB incidence (solid curve) and the normalized observed data (dots). The model was calibrated by minimizing the sum of squared errors (SSE) between the model output and the data using a least-squares approach. The system of ordinary differential equations was solved using MATLAB's ode45 solver, and parameter optimization was carried out using MATLAB's fminsearch function based on the Nelder–Mead simplex method.

    Techniques Used: Comparison



    Similar Products

    ode45 solver  (MathWorks Inc)
    90
    MathWorks Inc ode45 solver
    Model fitting results showing the comparison between the predicted TB incidence (solid curve) and the normalized observed data (dots). The model was calibrated by minimizing the sum of squared errors (SSE) between the model output and the data using a least-squares approach. The system of ordinary differential equations was solved using MATLAB's <t>ode45</t> solver, and parameter optimization was carried out using MATLAB's fminsearch function based on the Nelder–Mead simplex method.
    Ode45 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
    https://www.bioz.com/result/ode45 solver/product/MathWorks Inc
    Average 90 stars, based on 1 article reviews
    ode45 solver - by Bioz Stars, 2026-03
    90/100 stars
    		  Buy from Supplier
    ode solver ode45  (MathWorks Inc)
    90
    MathWorks Inc ode solver ode45
    Model fitting results showing the comparison between the predicted TB incidence (solid curve) and the normalized observed data (dots). The model was calibrated by minimizing the sum of squared errors (SSE) between the model output and the data using a least-squares approach. The system of ordinary differential equations was solved using MATLAB's <t>ode45</t> solver, and parameter optimization was carried out using MATLAB's fminsearch function based on the Nelder–Mead simplex method.
    Ode Solver Ode45, 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/ode solver ode45/product/MathWorks Inc
    Average 90 stars, based on 1 article reviews
    ode solver ode45 - by Bioz Stars, 2026-03
    90/100 stars
    		  Buy from Supplier
    adaptive runge-kutta solver ode45  (MathWorks Inc)
    90
    MathWorks Inc adaptive runge-kutta solver ode45
    Model fitting results showing the comparison between the predicted TB incidence (solid curve) and the normalized observed data (dots). The model was calibrated by minimizing the sum of squared errors (SSE) between the model output and the data using a least-squares approach. The system of ordinary differential equations was solved using MATLAB's <t>ode45</t> solver, and parameter optimization was carried out using MATLAB's fminsearch function based on the Nelder–Mead simplex method.
    Adaptive Runge Kutta Solver Ode45, 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/adaptive runge-kutta solver ode45/product/MathWorks Inc
    Average 90 stars, based on 1 article reviews
    adaptive runge-kutta solver ode45 - by Bioz Stars, 2026-03
    90/100 stars
    		  Buy from Supplier

    Image Search Results


    Model fitting results showing the comparison between the predicted TB incidence (solid curve) and the normalized observed data (dots). The model was calibrated by minimizing the sum of squared errors (SSE) between the model output and the data using a least-squares approach. The system of ordinary differential equations was solved using MATLAB's ode45 solver, and parameter optimization was carried out using MATLAB's fminsearch function based on the Nelder–Mead simplex method.

    Journal: Infectious Disease Modelling

    Article Title: Modelling the potential impact of TB-funded prevention programs on the transmission dynamics of TB

    doi: 10.1016/j.idm.2025.05.010

    Figure Lengend Snippet: Model fitting results showing the comparison between the predicted TB incidence (solid curve) and the normalized observed data (dots). The model was calibrated by minimizing the sum of squared errors (SSE) between the model output and the data using a least-squares approach. The system of ordinary differential equations was solved using MATLAB's ode45 solver, and parameter optimization was carried out using MATLAB's fminsearch function based on the Nelder–Mead simplex method.

    Article Snippet: To solve the underlying system of ordinary differential equations, we used MATLAB's ode45 solver, which is suitable for non-stiff systems.

    Techniques: Comparison