大葉大學圖書館 |

Linear algebra for computational sciences and engineering[electronic resource] /

紀錄類型:	書目-電子資源 : Monograph/item
杜威分類號:	512.5
書名/作者:	Linear algebra for computational sciences and engineering/ by Ferrante Neri.
作者:	Neri, Ferrante.
出版者:	Cham : : Springer International Publishing :, 2016.
面頁冊數:	xxii, 464 p. : : ill., digital ;; 24 cm.
Contained By:	Springer eBooks
標題:	Algebras, Linear.
標題:	Computer science - Mathematics.
標題:	Computer Science.
標題:	Mathematics of Computing.
標題:	Appl.Mathematics/Computational Methods of Engineering.
標題:	Linear and Multilinear Algebras, Matrix Theory.
ISBN:	9783319403410
ISBN:	9783319403397
內容註:	Basic Mathematical Thinking -- Matrices -- Systems of Linear Equations -- Geometric Vectors -- Complex Numbers and Polynomials -- An Introduction to Geometric Algebra and Conics -- An Overview of Algebraic Structures -- Vector Spaces -- Linear Mappings -- An Introduction to Computational Complexity -- Graph Theory -- Applied Linear Algebra: Electrical Networks -- A non-linear Algebra: An Introduction to Boolean Algebra -- Proofs of Theorems that Require Further Knowledge of Mathematics.
摘要、提要註:	This book presents the main concepts of linear algebra from the viewpoint of applied scientists such as computer scientists and engineers, without compromising on mathematical rigor. Based on the idea that computational scientists and engineers need, in both research and professional life, an understanding of theoretical concepts of mathematics in order to be able to propose research advances and innovative solutions, every concept is thoroughly introduced and is accompanied by its informal interpretation. Furthermore, most of the theorems included are first rigorously proved and then shown in practice by a numerical example. When appropriate, topics are presented also by means of pseudocodes, thus highlighting the computer implementation of algebraic theory. It is structured to be accessible to everybody, from students of pure mathematics who are approaching algebra for the first time to researchers and graduate students in applied sciences who need a theoretical manual of algebra to successfully perform their research. Most importantly, this book is designed to be ideal for both theoretical and practical minds and to offer to both alternative and complementary perspectives to study and understand linear algebra.
電子資源:	http://dx.doi.org/10.1007/978-3-319-40341-0

Linear algebra for computational sciences and engineering[electronic resource] /
Neri, Ferrante.

Linear algebra for computational sciences and engineering[electronic resource] /by Ferrante Neri. - Cham :Springer International Publishing :2016. - xxii, 464 p. :ill., digital ;24 cm.

Basic Mathematical Thinking -- Matrices -- Systems of Linear Equations -- Geometric Vectors -- Complex Numbers and Polynomials -- An Introduction to Geometric Algebra and Conics -- An Overview of Algebraic Structures -- Vector Spaces -- Linear Mappings -- An Introduction to Computational Complexity -- Graph Theory -- Applied Linear Algebra: Electrical Networks -- A non-linear Algebra: An Introduction to Boolean Algebra -- Proofs of Theorems that Require Further Knowledge of Mathematics.

This book presents the main concepts of linear algebra from the viewpoint of applied scientists such as computer scientists and engineers, without compromising on mathematical rigor. Based on the idea that computational scientists and engineers need, in both research and professional life, an understanding of theoretical concepts of mathematics in order to be able to propose research advances and innovative solutions, every concept is thoroughly introduced and is accompanied by its informal interpretation. Furthermore, most of the theorems included are first rigorously proved and then shown in practice by a numerical example. When appropriate, topics are presented also by means of pseudocodes, thus highlighting the computer implementation of algebraic theory. It is structured to be accessible to everybody, from students of pure mathematics who are approaching algebra for the first time to researchers and graduate students in applied sciences who need a theoretical manual of algebra to successfully perform their research. Most importantly, this book is designed to be ideal for both theoretical and practical minds and to offer to both alternative and complementary perspectives to study and understand linear algebra.

ISBN: 9783319403410

Standard No.: 10.1007/978-3-319-40341-0doiSubjects--Topical Terms:

196729
Algebras, Linear.

LC Class. No.: QA184.2

Dewey Class. No.: 512.5

Linear algebra for computational sciences and engineering[electronic resource] /
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505 0 $a Basic Mathematical Thinking -- Matrices -- Systems of Linear Equations -- Geometric Vectors -- Complex Numbers and Polynomials -- An Introduction to Geometric Algebra and Conics -- An Overview of Algebraic Structures -- Vector Spaces -- Linear Mappings -- An Introduction to Computational Complexity -- Graph Theory -- Applied Linear Algebra: Electrical Networks -- A non-linear Algebra: An Introduction to Boolean Algebra -- Proofs of Theorems that Require Further Knowledge of Mathematics.
520 $a This book presents the main concepts of linear algebra from the viewpoint of applied scientists such as computer scientists and engineers, without compromising on mathematical rigor. Based on the idea that computational scientists and engineers need, in both research and professional life, an understanding of theoretical concepts of mathematics in order to be able to propose research advances and innovative solutions, every concept is thoroughly introduced and is accompanied by its informal interpretation. Furthermore, most of the theorems included are first rigorously proved and then shown in practice by a numerical example. When appropriate, topics are presented also by means of pseudocodes, thus highlighting the computer implementation of algebraic theory. It is structured to be accessible to everybody, from students of pure mathematics who are approaching algebra for the first time to researchers and graduate students in applied sciences who need a theoretical manual of algebra to successfully perform their research. Most importantly, this book is designed to be ideal for both theoretical and practical minds and to offer to both alternative and complementary perspectives to study and understand linear algebra.
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