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:
- Root finding and equation solving.
- Solving systems of equations.
- Eigenvalues, eigenvectors, and eigendecomposition.
- Singular Value Decomposition (SVD).
- Interpolation, curve fitting, and surface modeling.
- Numerical integration and differentiation.
- Working with polynomials.
- Solving Ordinary Differential Equations (ODEs).
- Solving Boundary Value Problems (BVPs).
- Solving Delayed Differential Equations (DDEs).
- Linear Programming (LP).
- Mixed-Integer Linear Programming (MILP).
- Quadratic Programming (QP).
- 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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