Udemy - Numerical Methods In Matlab For Engineering Students Part 1

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Udemy - Numerical Methods In Matlab For Engineering Students Part 1 (Size: 3.7 GB)
  1 - Intro Video English.vtt 3.8 KB
  1 - Intro Video.mp4 32.8 MB
  10 - Example-3-Newton-Method.m 307.2 B
  10 - MATLAB Example 3 English.vtt 8.3 KB
  10 - MATLAB Example 3.mp4 90.6 MB
  11 - Secant Method English.vtt 7.3 KB
  11 - Secant Method.mp4 141.5 MB
  12 - Secant Method Algorithm and Example 4 English.vtt 11.9 KB
  12 - Secant Method Algorithm and Example 4.mp4 219.2 MB
  13 - Example-4-Secant-Method.m 102.4 B
  13 - MATLAB Example 4 Secant Method English.vtt 4.8 KB
  13 - MATLAB Example 4 Secant Method.mp4 27.8 MB
  13 - secant.m 307.2 B
  14 - Example-5-Secant-Method.m 204.8 B
  14 - MATLAB Example 5 Secant Method English.vtt 6.6 KB
  14 - MATLAB Example 5 Secant Method.mp4 73.1 MB
  15 - Rectangle and Midpoint Methods English.vtt 15.9 KB
  15 - Rectangle and Midpoint Methods.mp4 353.2 MB
  16 - Example 22 Midpoint and Rectangle Methods English.vtt 9.2 KB
  16 - Example 22 Midpoint and Rectangle Methods.mp4 191.2 MB
  17 - Example 22 MATLAB Midpoint and Rectangle Methods English.vtt 9.1 KB
  17 - Example 22 MATLAB Midpoint and Rectangle Methods.mp4 80.3 MB
  17 - Example-22-Rectangle-Midpoint-Methods.m 819.2 B
  17 - midpoint-method.m 204.8 B
  17 - rectangle-method.m 102.4 B
  18 - Trapezoidal and Simpsons Methods English.vtt 22.9 KB
  18 - Trapezoidal and Simpsons Methods.mp4 511.9 MB
  19 - Example 23 Trapezoidal and Simpsons Methods English.vtt 19.2 KB
  19 - Example 23 Trapezoidal and Simpsons Methods.mp4 395.4 MB
  2 - Error Calculations & Outline of Notes English.vtt 14.5 KB
  2 - Error Calculations & Outline of Notes.mp4 266.6 MB
  2 - Numerical-Analysis-Part-1-Udemy-12.pdf 388.6 KB
  20 - Example 23 MATLAB Simpsons English.vtt 14.3 KB
  20 - Example 23 MATLAB Simpsons.mp4 154.5 MB
  20 - Example-23-Simpsons-Methods.m 716.8 B
  20 - Simpsons-One-Third.m 512 B
  20 - Simpsons-Three-Eighths.m 512 B
  21 - CompTrap.m 204.8 B
  21 - Example-25-Composite-Trapezoidal.m 307.2 B
  21 - Examples 24 and 25 Composite Trapezoidal English.vtt 12.4 KB
  21 - Examples 24 and 25 Composite Trapezoidal.mp4 173.3 MB
  3 - Bisection Method English.vtt 10.7 KB
  3 - Bisection Method.mp4 193 MB
  4 - Bisection Method Algorithm English.vtt 6.3 KB
  4 - Bisection Method Algorithm.mp4 97.4 MB
  5 - Example 1 Bisection Method English.vtt 12.4 KB
  5 - Example 1 Bisection Method.mp4 235.3 MB
  6 - Example-1-Bisection-Method.m 716.8 B
  6 - MATLAB Bisection Method English.vtt 10.4 KB
  6 - MATLAB Bisection Method.mp4 95.8 MB
  7 - Newtons Method English.vtt 10 KB
  7 - Newtons Method.mp4 209.2 MB
  8 - Newtons Algorithm and Example 2 English.vtt 12.6 KB
  8 - Newtons Algorithm and Example 2.mp4 226.5 MB
  9 - Example-2-Newton-Method.m 204.8 B
  9 - MATLAB Example 2 English.vtt 6.3 KB
  9 - MATLAB Example 2.mp4 40.1 MB
  9 - newtons.m 204.8 B
  Bonus Resources.txt 409.6 B
  Get Bonus Downloads Here.url 204.8 B
  ▲ 60 total files

Description


Numerical Methods In Matlab For Engineering Students Part 1
https://CourseHulu.com

Last updated 12/2019
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 3.72 GB | Duration: 3h 55m

The Essentials of Root Finding and Numerical Integration in MATLAB

What you'll learn
Root finding techniques: Bisection Method, Newton's Method, Secant Method
Numerical integration techniques: Rectangle & Midpoint Methods, Trapezoidal & Simpsons Methods
MATLAB coding skills: Algortihms and example MATLAB codes are reviewed to enhance knowledge of MATLAB and the numerical techniques
Requirements
Coding: You should know MATLAB basics like matrices, looping, if statements, plotting
Math requirements: Calculus
MATLAB should be installed on your computer in order to run the provided MATLAB files
Description
Numerical Methods (also known as Numerical Analysis) is required in many Engineering degree programs. This course will focus on the root finding and numerical integration techniques most frequently covered at the undergraduate level. MATLAB is widely used in undergraduate engineering programs as well as in industry. Because of this, MATLAB is used in this course to nstrate how to successfully code each of the methods presented. In addition, it should be noted that this course can be used to enhance your coding skills.You will learn the theory behind the techniques as well as the coding aspects. We will work examples by hand and then follow those with MATLAB examples. This course covers the following topics:Root Finding:Bisection MethodNewtons Method (also known as Newton-Raphson)Secant MethodMATLAB coding of all methodsNumerical Integration:Rectangle MethodMidpoint MethodTrapezoidal MethodSimpson's MethodMATLAB coding of all methodsDownloadable resources that come with the course:Outline of notes with all example problem statementsMATLAB codes needed to run all the examples

Overview

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