Linear Circuit Theory: Matrices in Computer Applications
This comprehensive textbook covers all subjects on linear circuit theory, with the emphasis on learning the subject without an excessive amount of information. This unique approach stresses knowledge rather than computer use to start and differs from other books by introducing matrix algebra early in the book. The book’s 290 problems are meant to be solved using matrix algebra, which provides the reader with a strong foundation on which to build.
1115604328
Linear Circuit Theory: Matrices in Computer Applications
This comprehensive textbook covers all subjects on linear circuit theory, with the emphasis on learning the subject without an excessive amount of information. This unique approach stresses knowledge rather than computer use to start and differs from other books by introducing matrix algebra early in the book. The book’s 290 problems are meant to be solved using matrix algebra, which provides the reader with a strong foundation on which to build.
99.0 In Stock
Linear Circuit Theory: Matrices in Computer Applications

Linear Circuit Theory: Matrices in Computer Applications

by Jiri Vlach
Linear Circuit Theory: Matrices in Computer Applications

Linear Circuit Theory: Matrices in Computer Applications

by Jiri Vlach

Paperback

$99.00 
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Overview

This comprehensive textbook covers all subjects on linear circuit theory, with the emphasis on learning the subject without an excessive amount of information. This unique approach stresses knowledge rather than computer use to start and differs from other books by introducing matrix algebra early in the book. The book’s 290 problems are meant to be solved using matrix algebra, which provides the reader with a strong foundation on which to build.

Product Details

ISBN-13: 9781774632901
Publisher: Apple Academic Press
Publication date: 03/31/2021
Pages: 464
Product dimensions: 7.00(w) x 10.00(h) x (d)

About the Author

Vlach, Jiri||

Table of Contents

Basic Concepts. Nodal and Mesh Analysis. Matrix Methods. Dependent Sources. Network Transformations. Capacitors and Inductors. Networks with Capacitors and Inductors. Frequency Domain. Laplace Transformation. Time Domain. Network Functions. Active Networks. Two-Ports. Transformers. Modeling and Numerical Methods. Sensitivities. Modified Nodal Formulation. Fourier Series and Transformation. Appendix: Scaling of Linear Networks.

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