Mathematics and Optimization
R2026bGenerate efficient C/C++ code from mathematical solvers, optimization routines, and symbolic computations for deployment in performance-critical or resource-constrained environments. These examples show how to compile nonlinear solvers, constrained optimization algorithms, and symbolic expressions into portable libraries suitable for real-time and embedded applications.
Featured Examples
Generate Single-Precision quadprog Code
Generate single-precision code for quadratic programming problems.
Generate Code to Optimize Portfolio by Using Black Litterman Approach
Generate a MEX function and C source code from MATLAB® code that performs portfolio optimization using the Black Litterman approach.
Generate Code for Fuzzy System Using MATLAB Coder
You can generate code for a fuzzy inference system evaluated in MATLAB using the evalfis function.
Generate C Code from Symbolic Expressions Using the MATLAB Coder App
Generate MATLAB functions from symbolic expressions and generate C code with MATLAB Coder™.
Autonomous Underwater Vehicle Pose Estimation Using Analytical Jacobians in Custom Sensor Models
Compute analytical Jacobians using Symbolic Math Toolbox™ for Navigation Toolbox™ application, such as estimating the pose of an autonomous underwater vehicle.
