HOT
blank

A Beginner's Guide to Numerical Methods in MATLAB

Development

Rating3.9
Enroll Now

A Beginner's Guide to Numerical Methods in MATLAB, available at $44.99, has an average rating of 3.85, with 36 lectures, 11 quizzes, based on 95 reviews, and has 733 subscribers.

You will learn about Understand about the ways computer store numbers Choose the right numerical methods to solve a problem Measure (and avoid) the errors inherent in numeric calculations See how algorithms are implemented in MATLAB This course is ideal for individuals who are This course is designed for anyone interested in the numerical methods and their applications for solving real-world problems or Engineers, computer scientists, mathematicians and finance people will enjoy this course It is particularly useful for This course is designed for anyone interested in the numerical methods and their applications for solving real-world problems or Engineers, computer scientists, mathematicians and finance people will enjoy this course.

Enroll now: A Beginner's Guide to Numerical Methods in MATLAB

Summary

Title: A Beginner's Guide to Numerical Methods in MATLAB

Price: $44.99

Average Rating: 3.85

Number of Lectures: 36

Number of Quizzes: 11

Number of Published Lectures: 36

Number of Published Quizzes: 11

Number of Curriculum Items: 47

Number of Published Curriculum Objects: 47

Original Price: $39.99

Quality Status: approved

Status: Live

What You Will Learn

  • Understand about the ways computer store numbers
  • Choose the right numerical methods to solve a problem
  • Measure (and avoid) the errors inherent in numeric calculations
  • See how algorithms are implemented in MATLAB

Who Should Attend

  • This course is designed for anyone interested in the numerical methods and their applications for solving real-world problems
  • Engineers, computer scientists, mathematicians and finance people will enjoy this course

Target Audiences

  • This course is designed for anyone interested in the numerical methods and their applications for solving real-world problems
  • Engineers, computer scientists, mathematicians and finance people will enjoy this course

This course is about Numerical Methods and covers some of the popular methods and approaches being used daily by mathematicians and everyone involved in computation.

This course will teach you about

  • How computers store numbers: what is floating point, what is precision and accuracy.
  • The kinds of errors you are likely to encounter when applying numerical methods, and how to minimize them.
  • One- and Two-Point iterative methods
  • Interpolation and Curve Fitting
  • Numerical Differentiation and Integration

This course consists of the following materials:

  • Video lectures, covering both the theory as well as demonstrating practical computer applications
  • MATLAB files that you can download and run
  • Quizzes related to the covered topics

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction

Chapter 2: Machine Representation of Numbers

Lecture 1: Base 2 Representation

Lecture 2: Floating-Point Representation

Lecture 3: Machine Epsilon

Lecture 4: Round-Off and Truncation Errors

Chapter 3: Basic Concepts

Lecture 1: Function Continuity

Lecture 2: Rolle's Theorem

Lecture 3: First Mean Value Theorem

Lecture 4: Bolzano's Theorem

Chapter 4: One-Point Iterative Methods

Lecture 1: Introduction

Lecture 2: Convergence

Lecture 3: Acceleration of Convergence

Lecture 4: Order of Convergence

Lecture 5: Newton's Method (a.k.a. Newton-Raphson)

Lecture 6: Multidimensional Extensions of Newton's Method

Lecture 7: Approximate Newton's Method

Lecture 8: Horner's Algorithm for Polynomial Equations

Chapter 5: Two-Point Iterative Methods

Lecture 1: Bisection Method

Lecture 2: Regula Falsi Method

Lecture 3: Secant Method

Chapter 6: Interpolation and Curve Fitting

Lecture 1: Polynomial Interpolation

Lecture 2: Newton Basis

Lecture 3: Divided Differences

Lecture 4: Divided Differences: Examples

Lecture 5: Forward Differences

Lecture 6: Lagrangian Interpolation

Lecture 7: Neville's Algorithm

Chapter 7: Differentiation

Lecture 1: First Derivative Approximations

Lecture 2: Second Derivative Approximations

Lecture 3: Error Terms by Taylor Series Expansion

Lecture 4: Richardson Interpolation

Chapter 8: Integration (Quadrature)

Lecture 1: Introduction

Lecture 2: Trapezium Rule

Lecture 3: Midpoint Rule

Lecture 4: Gauss-Hermite

Lecture 5: Gauss-Laguerre

Instructors

Rating Distribution

  • 1 stars: 3 votes
  • 2 stars: 3 votes
  • 3 stars: 17 votes
  • 4 stars: 33 votes
  • 5 stars: 39 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!

You may also like

Top 10 Ethical AI Courses to Learn in November 2024

Top 10 Game Development Courses to Learn in November 2024

Top 10 Software Testing Courses to Learn in November 2024