Engineering And Scientific Computing With Scilab (+ Cd)
Author | : C. Gomez |
Publisher | : |
Total Pages | : 0 |
Release | : |
Genre | : |
ISBN | : |
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Author | : C. Gomez |
Publisher | : |
Total Pages | : 0 |
Release | : |
Genre | : |
ISBN | : |
Author | : Claude Gomez |
Publisher | : Springer Science & Business Media |
Total Pages | : 526 |
Release | : 1999-07-01 |
Genre | : Mathematics |
ISBN | : 9780817640095 |
Supplementary files run on UNIX and Windows 95/98/NT
Author | : Claude Gomez |
Publisher | : Birkhäuser |
Total Pages | : 491 |
Release | : 2012-07-12 |
Genre | : Mathematics |
ISBN | : 9781461215851 |
Supplementary files run on UNIX and Windows 95/98/NT
Author | : Claude Gomez |
Publisher | : Birkhauser |
Total Pages | : 491 |
Release | : 1999 |
Genre | : Engineering |
ISBN | : 9783764340094 |
Scilab is a powerful open computing environment designed for engineering and scientific applications. Engineering and Scientific Computing with Scilab provides a comprehensive overview of Scilab's utilization including integrated graphics, incorporation of user-provided functions, and a tour of its numerous and powerful applications toolboxes.
Author | : Sandeep Nagar |
Publisher | : Apress |
Total Pages | : 203 |
Release | : 2017-11-11 |
Genre | : Computers |
ISBN | : 1484231929 |
Familiarize yourself with Scilab using this concise, practical tutorial that is focused on writing code to learn concepts. Starting from the basics, this book covers array-based computing, plotting, and working with files in Scilab. Introduction to Scilab is useful for industry engineers, researchers, and students who are looking for open-source solutions for numerical computation. In this book you will learn by doing, avoiding technical jargon, which makes the concepts easy to learn. First you’ll see how to run basic calculations, absorbing technical complexities incrementally as you progress toward advanced topics. Throughout, the language is kept simple to ensure that readers at all levels can grasp the concepts. After reading this book, you will come away with sample code that can be re-purposed and applied to your own projects using Scilab. What You'll Learn Apply sample code to your engineering or science problems Work with Scilab arrays, functions, and loops Use Scilab’s plotting functions for data visualization Solve numerical computing and computational engineering problems with Scilab Who This Book Is For Engineers, scientists, researchers, and students who are new to Scilab. Some prior programming experience would be helpful but not required.
Author | : Sandeep Nagar |
Publisher | : |
Total Pages | : 109 |
Release | : 2016-12-16 |
Genre | : |
ISBN | : 9781520151113 |
Scilab is open source equivalent for basic MATLAB package. Its usage in scientific and numerical computation is gaining popularity day by day. The biggest advantage of using Scilab over another free software Octave for the purpose is that XCOS(Scilab) rivals Simulink (MATLAB) capabilities whereas Octave does not have any such graphical programming capabilities. Present book gives introduction to Scilab for a new-user. Starting from very basic, it goes on to explain array based computing, plotting and working with files. The book is useful for students, researchers and students who are looking for a open source software for numerical computation. Present book is specially written in concise format so that new user can learn quickly in learn-by-doing fashion. CHAPTERS: 1-Introduction,2-Working with Arrays,3-Plotting,4-Data through file reading and writing, 5-Functions and loops, 6- Numerical computing formalism
Author | : Claude Gomez |
Publisher | : Springer Science & Business Media |
Total Pages | : 505 |
Release | : 2012-12-06 |
Genre | : Technology & Engineering |
ISBN | : 1461215846 |
Supplementary files run on UNIX and Windows 95/98/NT
Author | : Timo Heister |
Publisher | : Walter de Gruyter GmbH & Co KG |
Total Pages | : 184 |
Release | : 2023-04-03 |
Genre | : Computers |
ISBN | : 3110988453 |
Scientific Computing for Scientists and Engineers is designed to teach undergraduate students relevant numerical methods and required fundamentals in scientific computing. Most problems in science and engineering require the solution of mathematical problems, most of which can only be done on a computer. Accurately approximating those problems requires solving differential equations and linear systems with millions of unknowns, and smart algorithms can be used on computers to reduce calculation times from years to minutes or even seconds. This book explains: How can we approximate these important mathematical processes? How accurate are our approximations? How efficient are our approximations? Scientific Computing for Scientists and Engineers covers: An introduction to a wide range of numerical methods for linear systems, eigenvalue problems, differential equations, numerical integration, and nonlinear problems; Scientific computing fundamentals like floating point representation of numbers and convergence; Analysis of accuracy and efficiency; Simple programming examples in MATLAB to illustrate the algorithms and to solve real life problems; Exercises to reinforce all topics.
Author | : Dianne P. O'Leary |
Publisher | : SIAM |
Total Pages | : 377 |
Release | : 2009-01-01 |
Genre | : Mathematics |
ISBN | : 0898717728 |
This book is a practical guide to the numerical solution of linear and nonlinear equations, differential equations, optimization problems, and eigenvalue problems. It treats standard problems and introduces important variants such as sparse systems, differential-algebraic equations, constrained optimization, Monte Carlo simulations, and parametric studies. Stability and error analysis are emphasized, and the Matlab algorithms are grounded in sound principles of software design and understanding of machine arithmetic and memory management. Nineteen case studies provide experience in mathematical modeling and algorithm design, motivated by problems in physics, engineering, epidemiology, chemistry, and biology. The topics included go well beyond the standard first-course syllabus, introducing important problems such as differential-algebraic equations and conic optimization problems, and important solution techniques such as continuation methods. The case studies cover a wide variety of fascinating applications, from modeling the spread of an epidemic to determining truss configurations.
Author | : Frank T. Willmore |
Publisher | : CRC Press |
Total Pages | : 266 |
Release | : 2016-08-19 |
Genre | : Computers |
ISBN | : 1315351854 |
Created to help scientists and engineers write computer code, this practical book addresses the important tools and techniques that are necessary for scientific computing, but which are not yet commonplace in science and engineering curricula. This book contains chapters summarizing the most important topics that computational researchers need to know about. It leverages the viewpoints of passionate experts involved with scientific computing courses around the globe and aims to be a starting point for new computational scientists and a reference for the experienced. Each contributed chapter focuses on a specific tool or skill, providing the content needed to provide a working knowledge of the topic in about one day. While many individual books on specific computing topics exist, none is explicitly focused on getting technical professionals and students up and running immediately across a variety of computational areas.