Udemy – Numerical Methods in MATLAB for Engineering Students Part 2 2019-7

Description

Numerical Methods in MATLAB for Engineering Students Part 2 is the second part of the numerical analysis course using MATLAB. In this course, you will learn about interpolation and curve fitting techniques. Interpolation and curve fitting are directly used by science and engineering production because every experiment produces data and we need to model these data with mathematics, for which we use Manjani interpolation and fitting techniques. In this course, we will find the methods that are usually taught at the undergraduate level.

In this course, we implement various methods on the computer using MATLAB. Things like least squares regression, polynomial regression, Lagrange interpolating polynomials, Newton’s distributed differences, linear splines, quadratic splines, cubic splines and the implementation of these methods in MATLAB are covered.

What you will learn in this course:

• Least Squares Regression
• Interpolation of Lagrange polynomials
• Curve fitting
• Multinomial regression
• Linear, Quadratic and Cubic Splines
• Interpolation

Who is this course for:

• Engineers and engineering students who want to interpolate experimental data or calculate curve fitting.

Course specifications:

• Publisher : Udemy
• Instructor : Cherish Qualls, PhD
• Language : English
• Level : beginner
• Duration : 5h 27m
• number of lessons : 23
• Format : mp4

Course contents 7/2019 :

 

Requirements :

• Basic knowledge of Calculus
• MATLAB basics like logical expressions and loops

Photos of Numerical Methods in MATLAB for Engineering Students Part 2

Sample clip:

Installation guide :

After extracting, you can watch the course with your favorite video player.

subtitle : English

quality : 720p

Download links :

Download Part 1 – 2GB

Download Part 2 – 2GB

Download Part 3 – 1.52GB

Password : www.abc.com

File size :

5.52 GB