Numerical Methods in Scilab: from Basic Principles to Real-World Applications

EasyChair Preprint 12384

Abstract

Numerical methods serve as indispensable tools in tackling intricate mathematical quandaries that defy analytical resolution. Scilab is an open-source numerical computing software that provides a broad range of numerical methods for solving mathematical problems. This research paper aims to provide an overview of the numerical methods available in Scilab and their applications in real-world problems. The paper begins with an introduction to numerical analysis, including numerical errors, interpolation, and numerical integration. It then delves into more advanced topics, such as numerical linear algebra, optimization, and differential equations. Finally, it provides several real-world applications of numerical methods using Scilab, including data analysis, image processing, and simulation. The paper demonstrates the usefulness of Scilab in solving real-world problems, making it an essential tool for researchers and practitioners in various fields.

Keyphrases: Basic Principles of Numerical Analysis, Scilab, analysis

@booklet{EasyChair:12384,
  author    = {Vasudev Walekar and Rajkumar Mahimkar},
  title     = {Numerical Methods in Scilab: from Basic Principles to Real-World Applications},
  howpublished = {EasyChair Preprint 12384},
  year      = {EasyChair, 2024}}