A Beginner's Guide to Numerical Methods in MATLAB
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
-
Dmitri Nesteruk
Software/Hardware Engineering • Quant Finance • Algotrading -
Xenia Kuznetsova
Web developer
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 Video Editing Courses to Learn in November 2024
- Top 10 Music Production Courses to Learn in November 2024
- Top 10 Animation Courses to Learn in November 2024
- Top 10 Digital Illustration Courses to Learn in November 2024
- Top 10 Renewable Energy Courses to Learn in November 2024
- Top 10 Sustainable Living Courses to Learn in November 2024
- Top 10 Ethical AI Courses to Learn in November 2024
- Top 10 Cybersecurity Fundamentals Courses to Learn in November 2024
- Top 10 Smart Home Technology Courses to Learn in November 2024
- Top 10 Holistic Health Courses to Learn in November 2024
- Top 10 Nutrition And Diet Planning Courses to Learn in November 2024
- Top 10 Yoga Instruction Courses to Learn in November 2024
- Top 10 Stress Management Courses to Learn in November 2024
- Top 10 Mindfulness Meditation Courses to Learn in November 2024
- Top 10 Life Coaching Courses to Learn in November 2024
- Top 10 Career Development Courses to Learn in November 2024
- Top 10 Relationship Building Courses to Learn in November 2024
- Top 10 Parenting Skills Courses to Learn in November 2024
- Top 10 Home Improvement Courses to Learn in November 2024
- Top 10 Gardening Courses to Learn in November 2024