Linear Algebra and Linear Operators in Engineering

With Applications in Mathematica®

Nonfiction, Science & Nature, Science, Biological Sciences, Zoology, Mathematics, Business & Finance
Cover of the book Linear Algebra and Linear Operators in Engineering by H. Ted Davis, Kendall T. Thomson, Elsevier Science
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: H. Ted Davis, Kendall T. Thomson ISBN: 9780080510248
Publisher: Elsevier Science Publication: July 12, 2000
Imprint: Academic Press Language: English
Author: H. Ted Davis, Kendall T. Thomson
ISBN: 9780080510248
Publisher: Elsevier Science
Publication: July 12, 2000
Imprint: Academic Press
Language: English
Designed for advanced engineering, physical science, and applied mathematics students, this innovative textbook is an introduction to both the theory and practical application of linear algebra and functional analysis. The book is self-contained, beginning with elementary principles, basic concepts, and definitions. The important theorems of the subject are covered and effective application tools are developed, working up to a thorough treatment of eigenanalysis and the spectral resolution theorem. Building on a fundamental understanding of finite vector spaces, infinite dimensional Hilbert spaces are introduced from analogy. Wherever possible, theorems and definitions from matrix theory are called upon to drive the analogy home. The result is a clear and intuitive segue to functional analysis, culminating in a practical introduction to the functional theory of integral and differential operators. Numerous examples, problems, and illustrations highlight applications from all over engineering and the physical sciences. Also included are several numerical applications, complete with Mathematica solutions and code, giving the student a "hands-on" introduction to numerical analysis. Linear Algebra and Linear Operators in Engineering is ideally suited as the main text of an introductory graduate course, and is a fine instrument for self-study or as a general reference for those applying mathematics.

· Contains numerous Mathematica examples complete with full code and solutions
· Provides complete numerical algorithms for solving linear and nonlinear problems
· Spans elementary notions to the functional theory of linear integral and differential equations
· Includes over 130 examples, illustrations, and exercises and over 220 problems ranging from basic concepts to challenging applications
· Presents real-life applications from chemical, mechanical, and electrical engineering and the physical sciences
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Designed for advanced engineering, physical science, and applied mathematics students, this innovative textbook is an introduction to both the theory and practical application of linear algebra and functional analysis. The book is self-contained, beginning with elementary principles, basic concepts, and definitions. The important theorems of the subject are covered and effective application tools are developed, working up to a thorough treatment of eigenanalysis and the spectral resolution theorem. Building on a fundamental understanding of finite vector spaces, infinite dimensional Hilbert spaces are introduced from analogy. Wherever possible, theorems and definitions from matrix theory are called upon to drive the analogy home. The result is a clear and intuitive segue to functional analysis, culminating in a practical introduction to the functional theory of integral and differential operators. Numerous examples, problems, and illustrations highlight applications from all over engineering and the physical sciences. Also included are several numerical applications, complete with Mathematica solutions and code, giving the student a "hands-on" introduction to numerical analysis. Linear Algebra and Linear Operators in Engineering is ideally suited as the main text of an introductory graduate course, and is a fine instrument for self-study or as a general reference for those applying mathematics.

· Contains numerous Mathematica examples complete with full code and solutions
· Provides complete numerical algorithms for solving linear and nonlinear problems
· Spans elementary notions to the functional theory of linear integral and differential equations
· Includes over 130 examples, illustrations, and exercises and over 220 problems ranging from basic concepts to challenging applications
· Presents real-life applications from chemical, mechanical, and electrical engineering and the physical sciences

More books from Elsevier Science

Cover of the book Bioactive Natural Products (Part E) by H. Ted Davis, Kendall T. Thomson
Cover of the book Biodegradable and Biocompatible Polymer Composites by H. Ted Davis, Kendall T. Thomson
Cover of the book Quantum Leaps in Biochemistry by H. Ted Davis, Kendall T. Thomson
Cover of the book Reaction Kinetics by H. Ted Davis, Kendall T. Thomson
Cover of the book Highway Engineering by H. Ted Davis, Kendall T. Thomson
Cover of the book Example-Based Super Resolution by H. Ted Davis, Kendall T. Thomson
Cover of the book The Responsive Brain by H. Ted Davis, Kendall T. Thomson
Cover of the book Fed-Batch Fermentation by H. Ted Davis, Kendall T. Thomson
Cover of the book Handbook of Multicultural Mental Health by H. Ted Davis, Kendall T. Thomson
Cover of the book Demystifying Embedded Systems Middleware by H. Ted Davis, Kendall T. Thomson
Cover of the book Environmental Solutions by H. Ted Davis, Kendall T. Thomson
Cover of the book Thin Film Materials Technology by H. Ted Davis, Kendall T. Thomson
Cover of the book Process Systems Risk Management by H. Ted Davis, Kendall T. Thomson
Cover of the book Emerging Trends in Applications and Infrastructures for Computational Biology, Bioinformatics, and Systems Biology by H. Ted Davis, Kendall T. Thomson
Cover of the book Graphene and Related Nanomaterials by H. Ted Davis, Kendall T. Thomson
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy