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Numerical Computations in MATLAB
9,836 students
Numerical Computations in MATLAB
Including Root Finding, Linear Algebra, Curve Fitting, Numerical Integration, Differential Equations and Optimization
Created byYarpiz Team, Mostapha Kalami Heris
Last updated 11/2019
English
What you'll learn
- Root Finding and Numerical Equation Solving in MATLAB
- Linear Algebra, Eigendecomposition and SVD in MATLAB
- Curve Fitting and Interpolation in 1D, 2D and 3D Spaces using MATLAB
- Numerical Integration and Differentiation in MATLAB
- Working with Polynomials in MATLAB
- Solving Ordinary Differential Equations in MATLAB
- Solving Boundary Value Problems in MATLAB
- Solving Delayed Differential Equations in MATLAB
- Linear Programming and Mixed-Integer LP in MATLAB
- Quadratic Programming in MATLAB
- Constrained and Unconstrained Nonlinear Optimization in MATLAB
Explore related topics
Course content
7 sections • 22 lectures • 4h 26m total length
Requirements
- Basic Math and Calculus
- Numerical Methods
- MATLAB Programming
Description
In this course, the built-in capabilities of MATLAB are used to perform numerical computations, which are very useful in enormous fields of applied science and engineering, including:
Root finding and equation solving
Solving system of equations
Eigenvalues, eigenvectors and eigendecomposition
Singular Value Decomposition
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
Who this course is for:
- Applied Math and Science Students
- Engineering Students
- Everyone interested in numerical methods and computation