Numerical Computations in MATLAB

Numerical Computations in MATLAB, available at Free, has an average rating of 4.95, with 23 lectures, 1 quizzes, based on 219 reviews, and has 9031 subscribers.

You will learn about 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 This course is ideal for individuals who are Applied Math and Science Students or Engineering Students or Everyone interested in numerical methods and computation It is particularly useful for Applied Math and Science Students or Engineering Students or Everyone interested in numerical methods and computation.

Enroll now: Numerical Computations in MATLAB

Summary

Title: Numerical Computations in MATLAB

Price: Free

Average Rating: 4.95

Number of Lectures: 23

Number of Quizzes: 1

Number of Published Lectures: 22

Number of Curriculum Items: 24

Number of Published Curriculum Objects: 22

Original Price: Free

Quality Status: approved

Status: Live

What You Will 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

Who Should Attend

Applied Math and Science Students
Engineering Students
Everyone interested in numerical methods and computation

Target Audiences

Applied Math and Science Students
Engineering Students
Everyone interested in numerical methods and computation

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

Course Curriculum

Chapter 1: Root Finding and Equation Solving

Lecture 1: Finding roots of polynomials using roots

Lecture 2: Finding roots of nonlinear functions using fzero

Lecture 3: Solving system of nonlinear equations using fsolve

Lecture 4: Solving system of linear equations using linsolve

Chapter 2: Linear Algebra

Lecture 1: Eigenvalues and Eigenvectors in MATLAB

Lecture 2: Singular Value Decomposition in MATLAB

Chapter 3: Interpolation and Curve Fitting

Lecture 1: Polynomial Fitting using polyfit

Lecture 2: Interpolation Using interp1 to interpn

Lecture 3: Interpolation Using interpft

Lecture 4: Interpolation using Cubic Splines

Lecture 5: Interpolation Using griddata in 2D and 3D Spaces

Chapter 4: Numerical Integration and Differentiation

Lecture 1: Numerical Integration using integral and quadgk

Lecture 2: Double and triple integrals

Lecture 3: Discrete integrals and summations

Lecture 4: Numerical Differentiation

Chapter 5: Working with Polynomials

Lecture 1: Working with Polynomials in MATLAB

Chapter 6: Differential Equations

Lecture 1: Solving Ordinary Differential Equations (ODEs)

Lecture 2: Solving Boundary Value Problems (BVPs)

Lecture 3: Solving Delayed Differential Equations (DDEs)

Chapter 7: Optimization

Lecture 1: Linear Programming and Mixed-Integer LP

Lecture 2: Quadratic Programming

Lecture 3: Constrained and Unconstrained Nonlinear Optimization

Instructors

Yarpiz Team
Academic Education and Research Group
Mostapha Kalami Heris
Programmer and Instructor

Rating Distribution

1 stars: 2 votes
2 stars: 3 votes
3 stars: 36 votes
4 stars: 87 votes
5 stars: 91 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

Menu