國立虎尾科技大學 |

Introduction to Scilab = for engineers and scientists /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Introduction to Scilab/ by Sandeep Nagar.
Reminder of title:	for engineers and scientists /
Author:	Nagar, Sandeep.
Published:	Berkeley, CA :Apress : : 2017.,
Description:	xv, 193 p. :ill., digital ; : 24 cm.;
Contained By:	Springer eBooks
Subject:	Science - Data processing. -
Online resource:	http://dx.doi.org/10.1007/978-1-4842-3192-0
ISBN:	9781484231920

Introduction to Scilab = for engineers and scientists /
Nagar, Sandeep.

Introduction to Scilabfor engineers and scientists /[electronic resource] :by Sandeep Nagar. - Berkeley, CA :Apress :2017. - xv, 193 p. :ill., digital ;24 cm.

1. Introduction to Scilab -- 2. Working with Scilab -- 3. Working with Arrays -- 4. Plotting -- 5. Data Through File Reading and Writing -- 6. Functions and Loops -- Numerical Computing Formalism -- 8. XCOS.

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. You will: 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.

ISBN: 9781484231920

Standard No.: 10.1007/978-1-4842-3192-0doiSubjects--Uniform Titles:

Scilab.
Subjects--Topical Terms:

528623
Science
--Data processing.

LC Class. No.: Q183.9

Dewey Class. No.: 502.85

Introduction to Scilab = for engineers and scientists /
LDR:02323nam a2200337 a 4500 001 922244
003 DE-He213
005 20180524132444.0
006 m d
007 cr nn 008maaau
008 190624s2017 cau s 0 eng d
020 $a 9781484231920 $q (electronic bk.)
020 $a 9781484231913 $q (paper)
024 7 $a 10.1007/978-1-4842-3192-0 $2 doi
035 $a 978-1-4842-3192-0
040 $a GP $c GP
041 0 $a eng
050 4 $a Q183.9
072 7 $a UMX $2 bicssc
072 7 $a UMC $2 bicssc
072 7 $a COM051010 $2 bisacsh
072 7 $a COM010000 $2 bisacsh
082 0 4 $a 502.85 $2 23
090 $a Q183.9 $b .N147 2017
100 1 $a Nagar, Sandeep. $3 1197674
245 1 0 $a Introduction to Scilab $h [electronic resource] : $b for engineers and scientists / $c by Sandeep Nagar.
260 $a Berkeley, CA : $b Apress : $b Imprint: Apress, $c 2017.
300 $a xv, 193 p. : $b ill., digital ; $c 24 cm.
505 0 $a 1. Introduction to Scilab -- 2. Working with Scilab -- 3. Working with Arrays -- 4. Plotting -- 5. Data Through File Reading and Writing -- 6. Functions and Loops -- Numerical Computing Formalism -- 8. XCOS.
520 $a 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. You will: 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.
630 0 0 $a Scilab. $3 1197678
650 0 $a Science $x Data processing. $3 528623
650 1 4 $a Computer Science. $3 593922
650 2 4 $a Programming Languages, Compilers, Interpreters. $3 669782
650 2 4 $a Computational Mathematics and Numerical Analysis. $3 669338
650 2 4 $a Mathematical Logic and Formal Languages. $3 670059
650 2 4 $a Numeric Computing. $3 669943
650 2 4 $a Programming Techniques. $3 669781
650 2 4 $a Open Source. $3 1113081
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer eBooks
856 4 0 $u http://dx.doi.org/10.1007/978-1-4842-3192-0
950 $a Professional and Applied Computing (Springer-12059)