This is a video I made for my publisher about my book “Essential MATLAB and Octave”. You can get the book here and more about the book here.
The book is a primer for programming in Matlab and Octave within the context of numerical simulations for a variety of applications. Matlab and Octave are powerful programming languages widely used by scientists and engineers. They provide excellent capabilities for data analysis, visualisation and more.
The book started as lecture notes for a course on Computational Physics – later turning into a wider encompassing syllabus covering aspects of computational finance, optimisation and even biology and economics
The aim of the book is to learn and apply programming in Matlab and octave using straightforward explanations and examples from different areas in mathematics, engineering, finance, and physics.
Essential MATLAB and Octave explains how MATLAB and Octave are powerful tools applicable to a variety of problems. This text provides an introduction that reveals basic structures and syntax, demonstrates the use of functions and procedures, outlines availability in various platforms, and highlights the most important elements for both programs.
The book can be considered as a companion for programmers (new and experienced) that require the use of computers to solve numerical problems.
Code is presented in individual boxes and explanations are added as margin notes. Although both Matlab and Octave share a large number of features, they are not strictly the same. In cases where code is specific to one of the languages the margin notes provide clarity.
This text requires no prior knowledge and it is self-contained, allowing the reader to use the material whenever needed rather than follow a particular order.
Compatible with both languages, the book material incorporates commands and structures that allow the reader to gain a greater awareness of MATLAB and Octave, write their own code, and implement their scripts and programs within a variety of applicable fields.
It is always made clear when particular examples apply only to MATLAB or only to Octave, allowing the book to be used flexibly depending on readers’ requirements.
Pingback: Data Science and Analytics with Python - Video - Quantum Tunnel
Pingback: Using MATLAB for Data Science and Machine Learning - Quantum Tunnel
Pingback: MATLAB for Data Science and Machine Learning - Jagannath International Management School | Top GGSIPU Institute in Delhi NCR|GGSIPU Admissions 2020 | JIMS Vasant Kunj
Comments are closed.