東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Introduction to the tools of scienti...

Smith, Einar.

Linked to FindBook

Google Book

Amazon

博客來

Introduction to the tools of scientific computing

Record Type:	Electronic resources : Monograph/item
Title/Author:	Introduction to the tools of scientific computing/ by Einar Smith.
Author:	Smith, Einar.
Published:	Cham :Springer International Publishing : : 2022.,
Description:	xiii, 428 p. :ill., digital ;24 cm.
[NT 15003449]:	Introduction -- Part I, Background -- Part II, Core Languages -- Part III, Commercial Computing Environments -- Part IV, Distributed Computing -- Part V, Specialized Programming Environments -- References -- Index.
Contained By:	Springer Nature eBook
Subject:	Computer science - Mathematics. -
Online resource:	https://doi.org/10.1007/978-3-031-16972-4
ISBN:	9783031169724

Introduction to the tools of scientific computing
Smith, Einar.

Introduction to the tools of scientific computing[electronic resource] /by Einar Smith. - Second edition. - Cham :Springer International Publishing :2022. - xiii, 428 p. :ill., digital ;24 cm. - Texts in computational science and engineering,v. 252197-179X ;. - Texts in computational science and engineering ;v. 25..

Introduction -- Part I, Background -- Part II, Core Languages -- Part III, Commercial Computing Environments -- Part IV, Distributed Computing -- Part V, Specialized Programming Environments -- References -- Index.

The book provides an introduction to common programming tools and methods in numerical mathematics and scientific computing. Unlike standard approaches, it does not focus on any specific language, but aims to explain the underlying ideas. Typically, new concepts are first introduced in the particularly user-friendly Python language and then transferred and extended in various programming environments from C/C++, Julia and MATLAB to Maple and Mathematica. This includes various approaches to distributed computing. By examining and comparing different languages, the book is also helpful for mathematicians and practitioners in deciding which programming language to use for which purposes. At a more advanced level, special tools for the automated solution of partial differential equations using the finite element method are discussed. On a more experimental level, the basic methods of scientific machine learning in artificial neural networks are explained and illustrated.

ISBN: 9783031169724

Standard No.: 10.1007/978-3-031-16972-4doiSubjects--Topical Terms:

532725
Computer science
--Mathematics.

LC Class. No.: QA76.9.M35 / S55 2022

Dewey Class. No.: 004.0151

Introduction to the tools of scientific computing
LDR:02285nmm a2200349 a 4500 001 2304711
003 DE-He213
005 20221027123155.0
006 m d
007 cr nn 008maaau
008 230409s2022 sz s 0 eng d
020 $a 9783031169724 $q (electronic bk.)
020 $a 9783031169717 $q (paper)
024 7 $a 10.1007/978-3-031-16972-4 $2 doi
035 $a 978-3-031-16972-4
040 $a GP $c GP
041 0 $a eng
050 4 $a QA76.9.M35 $b S55 2022
072 7 $a PBKS $2 bicssc
072 7 $a MAT006000 $2 bisacsh
072 7 $a PBKS $2 thema
082 0 4 $a 004.0151 $2 23
090 $a QA76.9.M35 $b S645 2022
100 1 $a Smith, Einar. $3 2162490
245 1 0 $a Introduction to the tools of scientific computing $h [electronic resource] / $c by Einar Smith.
250 $a Second edition.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2022.
300 $a xiii, 428 p. : $b ill., digital ; $c 24 cm.
490 1 $a Texts in computational science and engineering, $x 2197-179X ; $v v. 25
505 0 $a Introduction -- Part I, Background -- Part II, Core Languages -- Part III, Commercial Computing Environments -- Part IV, Distributed Computing -- Part V, Specialized Programming Environments -- References -- Index.
520 $a The book provides an introduction to common programming tools and methods in numerical mathematics and scientific computing. Unlike standard approaches, it does not focus on any specific language, but aims to explain the underlying ideas. Typically, new concepts are first introduced in the particularly user-friendly Python language and then transferred and extended in various programming environments from C/C++, Julia and MATLAB to Maple and Mathematica. This includes various approaches to distributed computing. By examining and comparing different languages, the book is also helpful for mathematicians and practitioners in deciding which programming language to use for which purposes. At a more advanced level, special tools for the automated solution of partial differential equations using the finite element method are discussed. On a more experimental level, the basic methods of scientific machine learning in artificial neural networks are explained and illustrated.
650 0 $a Computer science $x Mathematics. $3 532725
650 1 4 $a Computational Mathematics and Numerical Analysis. $3 891040
650 2 4 $a Mathematics of Computing. $3 891213
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
830 0 $a Texts in computational science and engineering ; $v v. 25. $3 3607152
856 4 0 $u https://doi.org/10.1007/978-3-031-16972-4
950 $a Computer Science (SpringerNature-11645)