All Courses Free Udemy Courses

Numerical Computations in MATLAB – Free Udemy Courses

Numerical Computations in MATLAB – Free Udemy Courses

Including Root Finding, Linear Algebra, Curve Fitting, Numerical Integration, Differential Equations, and Optimization

What you’ll learn

Numerical Computations in MATLAB – Free Udemy Courses

  • 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

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



Udemy Free Courses












If the links does not work, contact us we will fix them











Categories

Advertisement