Bộ sách luyện thi ETS 2023 LC&RC
199,000₫
299,000₫
Sách keo gáy, bìa mềm
Linear Algebra to Differential Equations concentrates
on the essential topics necessary for all engineering students in
general and computer science branch students, in particular.
Specifically, the topics dealt will help the reader in applying linear
algebra as a tool.
The advent of high-speed computers has paved
the way for studying large systems of linear equations as well as large
systems of linear differential equations. Along with the standard
numerical methods, methods that curb the progress of error are given for
solving linear systems of equations.
The topics of linear algebra
and differential equations are linked by Kronecker products and
calculus of matrices. These topics are useful in dealing with linear
systems of differential equations and matrix differential equations.
Differential equations are treated in terms of vector and matrix
differential systems, as they naturally arise while formulating
practical problems. The essential concepts dealing with the solutions
and their stability are briefly presented to motivate the reader towards
further investigation.
This book caters to the needs of
Engineering students in general and in particular, to students of
Computer Science & Engineering, Artificial Intelligence, Machine
Learning and Robotics. Further, the book provides a quick and complete
overview of linear algebra and introduces linear differential systems,
serving the basic requirements of scientists and researchers in applied
fields.
Features
Provides complete basic knowledge of the subject
Exposes the necessary topics lucidly
Introduces the abstraction and at the same time is down to earth
Highlights numerical methods and approaches that are more useful
Essential techniques like SVD and PCA are given
Applications (both classical and novel) bring out similarities in various disciplines:
Illustrative
examples for every concept: A brief overview of techniques that
hopefully serves the present and future needs of students and
scientists.
Categories:Mathematics
Content Type:Books
Year:2021
Edition:1
Language:english
Pages:416
