Exploring Numerical Computations in MATLAB

Delve into the powerful numerical computing capabilities of MATLAB with this comprehensive course designed for applied science and engineering fields. You'll harness MATLAB's built-in functionalities to perform a wide range of numerical computations crucial in various domains.

Key topics covered in this course include:

  1. Root finding and equation solving.
  2. Solving systems of equations.
  3. Eigenvalues, eigenvectors, and eigendecomposition.
  4. Singular Value Decomposition (SVD).
  5. Interpolation, curve fitting, and surface modeling.
  6. Numerical integration and differentiation.
  7. Working with polynomials.
  8. Solving Ordinary Differential Equations (ODEs).
  9. Solving Boundary Value Problems (BVPs).
  10. Solving Delayed Differential Equations (DDEs).
  11. Linear Programming (LP).
  12. Mixed-Integer Linear Programming (MILP).
  13. Quadratic Programming (QP).
  14. Constrained and unconstrained nonlinear optimization.

By the end of this course, you'll have a solid understanding of how to leverage MATLAB for a wide range of numerical computations, making it a valuable tool in your toolkit for tackling complex problems in science and engineering.

Link: Exploring Numerical Computations in MATLAB

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