Lecture

Installation: GNU Octave 3.8.0

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Description

This lecture covers the installation process of GNU Octave 3.8.0, a high-level interpreted language for numerical computations. It provides capabilities for solving linear and nonlinear problems, extensive graphics for data visualization, and is easily portable. The lecture explains the steps necessary to install Octave, its interactive command line interface, and its similarity to Matlab. It also discusses the GNU General Public License under which Octave is distributed, along with the libraries and utilities required for its functioning.

In MOOC

MATLAB and Octave for Beginners

The course you are about to follow is an introduction to à Octave and MATLAB®. Both of these softwares follow the same structure, it is therefore obvious to present them together. This course is aimed at beginners, it began as an introduction to MATLAB for second year students at EPFL following a numerical analysis course.

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Related concepts (19)

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Numerical linear algebra, sometimes called applied linear algebra, is the study of how matrix operations can be used to create computer algorithms which efficiently and accurately provide approximate answers to questions in continuous mathematics. It is a subfield of numerical analysis, and a type of linear algebra. Computers use floating-point arithmetic and cannot exactly represent irrational data, so when a computer algorithm is applied to a matrix of data, it can sometimes increase the difference between a number stored in the computer and the true number that it is an approximation of.

Numerical analysis

Numerical analysis is the study of algorithms that use numerical approximation (as opposed to symbolic manipulations) for the problems of mathematical analysis (as distinguished from discrete mathematics). It is the study of numerical methods that attempt at finding approximate solutions of problems rather than the exact ones. Numerical analysis finds application in all fields of engineering and the physical sciences, and in the 21st century also the life and social sciences, medicine, business and even the arts.

Data and information visualization

Data and information visualization (data viz or info viz) is the practice of designing and creating easy-to-communicate and easy-to-understand graphic or visual representations of a large amount of complex quantitative and qualitative data and information with the help of static, dynamic or interactive visual items.

Computational science

Computational science, also known as scientific computing, technical computing or scientific computation (SC), is a division of science that uses advanced computing capabilities to understand and solve complex physical problems. This includes Algorithms (numerical and non-numerical): mathematical models, computational models, and computer simulations developed to solve sciences (e.

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