GNU Octave is one of the open-source numerical-software packages which is greatly known for its compatibility with commercial package MATLAB. It solves linear and nonlinear problems numerically, and for performing other numerical experiments using a language that is mostly compatible with MATLAB. Octave has been built with great MATLAB compatibility in mind so as it treats incompatibility with MATLAB as a bug; therefore, it could be considered a software clone of MATLAB itself. Being open-source and free it has become one of the most popular software packages in research. In this series, we are going to look into GNU Octave starting from a beginner’s perspective, i.e. from installation to running scripts. We will implement and solve multiple algorithm examples to increase the understanding of the reader by practice.
GNU Octave is a high-level language, primarily intended for numerical computations. It provides a convenient command line interface for solving linear and nonlinear problems numerically, and for performing other numerical experiments using a language that is mostly compatible with Matlab.
GNU Octave is a very powerful suite for its numerical, graphical, and programming capabilities. Despite being open-source this software suit can completely replace MATLAB (except few...
Octave showing the perfect compatibility with MATLAB keeps its tag of being called open source clone of MATLAB. This article is a continuation of the series dealing with variables and constants in Octave.
Expressions are the basic building block of statements in Octave. It can be created using values, variables that have already been created, operators, functions, and parentheses....
In mathematics, Function is a relation from a set of inputs to a set of possible outputs where each input is related to exactly one output. This concept is borrowed by programming languages to simplify the code by avoiding unnecessary repetition.
Vectors and matrices are very useful for dealing with systems of linear equations and inequalities. This article takes more practical approach to use Octave/Matlab for Matrix operations.
We need to change the settings, modify a variable. It is not convenient to retype everything. Scripts are the perfect solution or such cases which contains expressions in correct sequence
Conditional execution and loop are the backbone of any algorithm. These maintain the proper flow of algorithm, for a successful execution.
Function is a perfect way to implement a reusable code with ease of debug and maintainability.
Generally Matlab/Octave scripts work on processing section of data which are generated from some kind of experiment or other events e.g. image processing. It is not possible for a user to enter value of each pixel manually in a processing algorithm. It is needed to read the image file directly and import data into variable in workspace.
Data visualization is the graphical portrayal of any data and information, summarized in a way that it is easy to see identify patterns and exceptions easily....