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Book Engineering and Scientific Computing with Scilab

Download or read book Engineering and Scientific Computing with Scilab written by Claude Gomez and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 505 pages. Available in PDF, EPUB and Kindle. Book excerpt: Supplementary files run on UNIX and Windows 95/98/NT

Book Engineering and Scientific Computing with Scilab

Download or read book Engineering and Scientific Computing with Scilab written by Claude Gomez and published by Springer Science & Business Media. This book was released on 1999-07-01 with total page 526 pages. Available in PDF, EPUB and Kindle. Book excerpt: Supplementary files run on UNIX and Windows 95/98/NT

Book Engineering And Scientific Computing With Scilab    Cd

Download or read book Engineering And Scientific Computing With Scilab Cd written by C. Gomez and published by . This book was released on with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Introduction to Scilab

Download or read book Introduction to Scilab written by Sandeep Nagar and published by Apress. This book was released on 2017-11-11 with total page 203 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Book Scilab

Download or read book Scilab written by JLR Neto and published by net629. This book was released on with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: It is the first book for anyone who wants to know the possibilities of this software. It serves beginners in programming as well as for those who already work with other platforms. As free and open-source software, Scilab is an excellent alternative for those working in scientific computing with proprietary software. This guide aims to present the fundamentals of the environment and the programming language, showing practical examples of its functionalities.

Book Introduction to Scilab for Scientists and Engineers

Download or read book Introduction to Scilab for Scientists and Engineers written by John Maclane and published by Createspace Independent Publishing Platform. This book was released on 2017-06 with total page 114 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Book Introduction to Scilab

    Book Details:
  • Author : Sandeep Nagar
  • Publisher :
  • Release : 2016-12-16
  • ISBN : 9781520151113
  • Pages : 109 pages

Download or read book Introduction to Scilab written by Sandeep Nagar and published by . This book was released on 2016-12-16 with total page 109 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Book Expertise Scilab

    Book Details:
  • Author : Geeta Arora
  • Publisher :
  • Release : 2024-01-08
  • ISBN : 9789999314138
  • Pages : 0 pages

Download or read book Expertise Scilab written by Geeta Arora and published by . This book was released on 2024-01-08 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Embark on a comprehensive journey into the world of Scilab, a powerful open-source software for scientific computing and data visualization. This meticulously crafted guide will equip you with the essential knowledge and skills to harness Scilab's capabilities for a wide range of computational tasks. This book is primarily intended for graduate, and postgraduate students especially scholars working in any domain of computation techniques. In the author's opinion, the finest software package for solving engineering problems is MATLAB, which is capable of conducting advanced mathematical and engineering computations whose versatility has transformed the personal computer industry. This book is intended to teach the student/reader how to use MATLAB through the use of practical examples. MATLAB is a software package that needs to be purchased for use. This is one of the reasons why Scilab exists. Scilab is currently being developed for programmers who wish to totally migrate their work to an open-source platform but are willing to amend their MATLAB files if necessary. This document contains Scilab commands, functions, and statements that are executable. The author makes no claim to content or style originality but has taken care to present the material clearly and sequentially with detailed discussion.

Book Computing in Scilab

    Book Details:
  • Author : Chetana Jain
  • Publisher : Cambridge University Press
  • Release : 2022-09-30
  • ISBN : 1009276611
  • Pages : 396 pages

Download or read book Computing in Scilab written by Chetana Jain and published by Cambridge University Press. This book was released on 2022-09-30 with total page 396 pages. Available in PDF, EPUB and Kindle. Book excerpt: SciLab is a free open-source computing and graphics tool that allows students to learn physical and mathematical concepts with ease. Computing in SciLab has been designed for undergraduate students of physics and electronics following the CBCS-LOCF syllabus, and with extensive coverage of concepts, it focuses primarily on the applications of SciLab in improving the problem-solving skills of readers. All these tools are classroom-tested and focus on data visualization and numerical computing with SCILAB. The book covers important topics like linear algebra, matrices, plotting tools, curve fitting, differential equations, integral calculus, Fourier analysis, and equation solving.

Book Introduction to Scientific and Technical Computing

Download or read book Introduction to Scientific and Technical Computing written by Frank T. Willmore and published by CRC Press. This book was released on 2016-08-19 with total page 266 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Book Scientific Computing

    Book Details:
  • Author : Timo Heister
  • Publisher : Walter de Gruyter GmbH & Co KG
  • Release : 2023-04-03
  • ISBN : 3110988453
  • Pages : 184 pages

Download or read book Scientific Computing written by Timo Heister and published by Walter de Gruyter GmbH & Co KG. This book was released on 2023-04-03 with total page 184 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Book Elements of Scientific Computing

Download or read book Elements of Scientific Computing written by Aslak Tveito and published by Springer Science & Business Media. This book was released on 2010-09-27 with total page 470 pages. Available in PDF, EPUB and Kindle. Book excerpt: Science used to be experiments and theory, now it is experiments, theory and computations. The computational approach to understanding nature and technology is currently flowering in many fields such as physics, geophysics, astrophysics, chemistry, biology, and most engineering disciplines. This book is a gentle introduction to such computational methods where the techniques are explained through examples. It is our goal to teach principles and ideas that carry over from field to field. You will learn basic methods and how to implement them. In order to gain the most from this text, you will need prior knowledge of calculus, basic linear algebra and elementary programming.

Book A Gentle Introduction to Scientific Computing

Download or read book A Gentle Introduction to Scientific Computing written by Dan Stanescu and published by CRC Press. This book was released on 2022-05-01 with total page 241 pages. Available in PDF, EPUB and Kindle. Book excerpt: Scientific Computation has established itself as a stand-alone area of knowledge at the borderline between computer science and applied mathematics. Nonetheless, its interdisciplinary character cannot be denied: its methodologies are increasingly used in a wide variety of branches of science and engineering. A Gentle Introduction to Scientific Computing intends to serve a very broad audience of college students across a variety of disciplines. It aims to expose its readers to some of the basic tools and techniques used in computational science, with a view to helping them understand what happens "behind the scenes" when simple tools such as solving equations, plotting and interpolation are used. To make the book as practical as possible, the authors explore their subject both from a theoretical, mathematical perspective and from an implementation-driven, programming perspective. Features Middle-ground approach between theory and implementation. Suitable reading for a broad range of students in STEM disciplines. Could be used as the primary text for a first course in scientific computing. Introduces mathematics majors, without any prior computer science exposure, to numerical methods. All mathematical knowledge needed beyond Calculus (together with the most widely used Calculus notation and concepts) is introduced in the text to make it self-contained.

Book Scientific Computing with Case Studies

Download or read book Scientific Computing with Case Studies written by Dianne P. O'Leary and published by SIAM. This book was released on 2009-01-01 with total page 377 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Book Projects in Scientific Computation

Download or read book Projects in Scientific Computation written by Richard E. Crandall and published by Springer Science & Business Media. This book was released on 2000-06-22 with total page 500 pages. Available in PDF, EPUB and Kindle. Book excerpt: This interdisciplinary book provides a compendium of projects, plus numerous example programs for readers to study and explore. Designed for advanced undergraduates or graduates of science, mathematics and engineering who will deal with scientific computation in their future studies and research, it also contains new and useful reference materials for researchers. The problem sets range from the tutorial to exploratory and, at times, to "the impossible". The projects were collected from research results and computational dilemmas during the authors tenure as Chief Scientist at NeXT Computer, and from his lectures at Reed College. The content assumes familiarity with such college topics as calculus, differential equations, and at least elementary programming. Each project focuses on computation, theory, graphics, or a combination of these, and is designed with an estimated level of difficulty. The support code for each takes the form of either C or Mathematica, and is included in the appendix and on the bundled diskette. The algorithms are clearly laid out within the projects, such that the book may be used with other symbolic numerical and algebraic manipulation products

Book Scientific Computing

Download or read book Scientific Computing written by Michael T. Heath and published by SIAM. This book was released on 2018-11-14 with total page 567 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book differs from traditional numerical analysis texts in that it focuses on the motivation and ideas behind the algorithms presented rather than on detailed analyses of them. It presents a broad overview of methods and software for solving mathematical problems arising in computational modeling and data analysis, including proper problem formulation, selection of effective solution algorithms, and interpretation of results. In the 20 years since its original publication, the modern, fundamental perspective of this book has aged well, and it continues to be used in the classroom. This Classics edition has been updated to include pointers to Python software and the Chebfun package, expansions on barycentric formulation for Lagrange polynomial interpretation and stochastic methods, and the availability of about 100 interactive educational modules that dynamically illustrate the concepts and algorithms in the book. Scientific Computing: An Introductory Survey, Second Edition is intended as both a textbook and a reference for computationally oriented disciplines that need to solve mathematical problems.

Book Introduction to Scientific Computing and Data Analysis

Download or read book Introduction to Scientific Computing and Data Analysis written by Mark H. Holmes and published by Springer Nature. This book was released on 2023-07-11 with total page 563 pages. Available in PDF, EPUB and Kindle. Book excerpt: This textbook provides an introduction to numerical computing and its applications in science and engineering. The topics covered include those usually found in an introductory course, as well as those that arise in data analysis. This includes optimization and regression-based methods using a singular value decomposition. The emphasis is on problem solving, and there are numerous exercises throughout the text concerning applications in engineering and science. The essential role of the mathematical theory underlying the methods is also considered, both for understanding how the method works, as well as how the error in the computation depends on the method being used. The codes used for most of the computational examples in the text are available on GitHub. This new edition includes material necessary for an upper division course in computational linear algebra.