TY  - GEN
AB  - 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. --
AU  - Neri, Ferrante,
CN  - QA76.9.M35
DO  - 10.1007/978-3-030-21321-3
DO  - 10.1007/978-3-030-21
DO  - doi
ET  - Second edition.
ID  - 913447
KW  - Algebras, Linear.
KW  - Computer science
KW  - Engineering mathematics.
KW  - Matrix theory.
LK  - https://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-030-21321-3
N1  - Previous edition: 2016.
N1  - Foreword by Alberto Grasso.
N1  - Includes index.
N2  - 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. --
SN  - 9783030213213
SN  - 3030213218
SN  - 303021320X
SN  - 9783030213206
SN  - 9783030213220
SN  - 3030213226
SN  - 9783030213237
SN  - 3030213234
T1  - Linear algebra for computational sciences and engineering /
TI  - Linear algebra for computational sciences and engineering /
UR  - https://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-030-21321-3
ER  -