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Home Other Tutorials

A Beginner’s Guide to Numerical Methods in MATLAB

March 13, 2021
in Other Tutorials, Free Course, Tutorials
A Beginner's Guide to Numerical Methods in MATLAB

A Beginner's Guide to Numerical Methods in MATLAB

Free Download A Beginner’s Guide to Numerical Methods in MATLAB with high-speed direct link. This awesome A Beginner’s Guide to Numerical Methods in MATLAB Video made by PSDLY and the latest update Released In 2021. This is a premium product. We are giving this totally free. In our website, you will find lots of premium assets free like Free-course/tutorials, Lightroom Preset, PS action, Mockups, Videohive Items, Premium Sounds, Web Templates, and much more.

A Beginner’s Guide to Numerical Methods in MATLAB – Free Download

What you’ll 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

Requirements

Basic math knowledge

Fundamental knowledge of computing

Some familiarity with MATLAB is required to follow the examples

Description

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

Who this course is for:

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

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