TY - BOOK ID - 48112985 TI - Linear Algebra for Computational Sciences and Engineering PY - 2019 SN - 3030213218 303021320X PB - Cham : Springer International Publishing : Imprint: Springer, DB - UniCat KW - Computer science. KW - Engineering mathematics. KW - Matrix theory. KW - Mathematics of Computing. KW - Mathematical and Computational Engineering. KW - Linear and Multilinear Algebras, Matrix Theory. KW - Engineering KW - Engineering analysis KW - Mathematical analysis KW - Informatics KW - Science KW - Mathematics KW - Algebras, Linear. KW - Linear algebra KW - Algebra, Universal KW - Generalized spaces KW - Calculus of operations KW - Line geometry KW - Topology KW - Computer science—Mathematics. KW - Applied mathematics. KW - Algebra. UR - https://www.unicat.be/uniCat?func=search&query=sysid:48112985 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. ER -