Linear Algebra

2015-10-27
Linear Algebra

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  • Author: Richard C. Penney
  • Publisher: John Wiley & Sons
  • ISBN: 1118909593
  • Category : Mathematics
  • Languages : en
  • Pages : 512

Praise for the Third Edition “This volume is ground-breaking in terms of mathematical texts in that it does not teach from a detached perspective, but instead, looks to show students that competent mathematicians bring an intuitive understanding to the subject rather than just a master of applications.” – Electric Review A comprehensive introduction, Linear Algebra: Ideas and Applications, Fourth Edition provides a discussion of the theory and applications of linear algebra that blends abstract and computational concepts. With a focus on the development of mathematical intuition, the book emphasizes the need to understand both the applications of a particular technique and the mathematical ideas underlying the technique. The book introduces each new concept in the context of an explicit numerical example, which allows the abstract concepts to grow organically out of the necessity to solve specific problems. The intuitive discussions are consistently followed by rigorous statements of results and proofs. Linear Algebra: Ideas and Applications, Fourth Edition also features: Two new and independent sections on the rapidly developing subject of wavelets A thoroughly updated section on electrical circuit theory Illuminating applications of linear algebra with self-study questions for additional study End-of-chapter summaries and sections with true-false questions to aid readers with further comprehension of the presented material Numerous computer exercises throughout using MATLAB® code Linear Algebra: Ideas and Applications, Fourth Edition is an excellent undergraduate-level textbook for one or two semester courses for students majoring in mathematics, science, computer science, and engineering. With an emphasis on intuition development, the book is also an ideal self-study reference.

Lineare Algebra und analytische Geometrie

2012-12-06
Lineare Algebra und analytische Geometrie

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  • Author: M. Koecher
  • Publisher: Springer Science & Business Media
  • ISBN: 3642967728
  • Category : Mathematics
  • Languages : de
  • Pages : 299

Dieses Buch wendet sich an aIle, die durch Neigung oder Pflicht mit der Mathematik verbunden sind: Es so11 Studierende der Mathematik in Haupt-und Nebenfach, Lehrer fUr Mathematik oder Physik an weiterfUhrenden Schulen, ausgebildete Mathematiker und cum grano salis, interessierte Laien ansprechen. Aus ihm kann man als Anfiinger die Grundzuge der linearen Algebra und der analytischen Geometrie lernen. Es eignet sich dann gleichermaBen zur Weiterbildung, zur Vorbereitung auf Prufungen im Hochschulbereich und als bescheidenes Nachschlagewerk fUr grundlegende algebraische und geometrische Begriffe. Selbst manche Begriffe und Ergebnisse der Analysis findet man in die line are Algebra eingeordnet. Das Kapitel 4 (Elementar-Geometrie) und Teile der Kapitel I, 2 und 7 sind daruber hinaus fUr Aufbau- und Leistungskurse in weiterfUhrenden Schulen sowie fUr Proseminare gut geeignet. Aber auch der ausgebildete Mathematiker wird hin und wieder neue Ge sichtspunkte der linearen Algebra oder analytischen Geometrie entdecken und historische Bezuge kennenlernen. Das ausfUhrliche Inhaltsverzeichnis gibt eine gute Ubersicht uber den behandelten Stoff. Vom Inhalt her unterscheidet sich das vorliegende Buch von den meisten Buchern zur linearen Algebra: Der algebraische Teil ist nicht Selbstzweck, sondern versucht die Aspekte der linearen Algebra hervorzuheben, die auch fUr andere Teilgebiete der Mathema tik wesentlich sind. Von Anfang an wird auf wichtige Beispiele aus der Analysis besonderer Wert gelegt. Der Matrizen-und Determinantenkalkiil wird in teilweise neuer Form dar gestellt. Die analytische Geometrie in der Ebene und im Anschauungsraum hat neben den euklidischen Vektorriiumen ihren Platz. Die sphiirische Geometrie kann als Anwendung des Vektorproduktes kurz dargestellt werden.

Topics in Quaternion Linear Algebra

2014-08-24
Topics in Quaternion Linear Algebra

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  • Author: Leiba Rodman
  • Publisher: Princeton University Press
  • ISBN: 0691161852
  • Category : Mathematics
  • Languages : en
  • Pages : 378

Quaternions are a number system that has become increasingly useful for representing the rotations of objects in three-dimensional space and has important applications in theoretical and applied mathematics, physics, computer science, and engineering. This is the first book to provide a systematic, accessible, and self-contained exposition of quaternion linear algebra. It features previously unpublished research results with complete proofs and many open problems at various levels, as well as more than 200 exercises to facilitate use by students and instructors. Applications presented in the book include numerical ranges, invariant semidefinite subspaces, differential equations with symmetries, and matrix equations. Designed for researchers and students across a variety of disciplines, the book can be read by anyone with a background in linear algebra, rudimentary complex analysis, and some multivariable calculus. Instructors will find it useful as a complementary text for undergraduate linear algebra courses or as a basis for a graduate course in linear algebra. The open problems can serve as research projects for undergraduates, topics for graduate students, or problems to be tackled by professional research mathematicians. The book is also an invaluable reference tool for researchers in fields where techniques based on quaternion analysis are used.

Linear Algebra with Applications

2009-12-23
Linear Algebra with Applications

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  • Author: Gareth Williams
  • Publisher: Jones & Bartlett Publishers
  • ISBN: 1449666329
  • Category : Mathematics
  • Languages : en
  • Pages : 532

Revised and edited, Linear Algebra with Applications, Seventh Edition is designed for the introductory course in linear algebra and is organized into 3 natural parts. Part 1 introduces the basics, presenting systems of linear equations, vectors and subspaces of R, matrices, linear transformations, determinants, and eigenvectors. Part 2 builds on this material, introducing the concept of general vector spaces, discussing properties of bases, developing the rank/nullity theorem and introducing spaces of matrices and functions. Part 3 completes the course with many of the important ideas and methods of numerical linear algebra, such as ill-conditioning, pivoting, and LU decomposition. Offering 28 core sections, the Seventh Edition successfully blends theory, important numerical techniques, and interesting applications making it ideal for engineers, scientists, and a variety of other majors.

Numerical Linear Algebra in Signals, Systems and Control

2011-05-21
Numerical Linear Algebra in Signals, Systems and Control

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  • Author: Paul Van Dooren
  • Publisher: Springer Science & Business Media
  • ISBN: 9400706022
  • Category : Technology & Engineering
  • Languages : en
  • Pages : 481

The purpose of Numerical Linear Algebra in Signals, Systems and Control is to present an interdisciplinary book, blending linear and numerical linear algebra with three major areas of electrical engineering: Signal and Image Processing, and Control Systems and Circuit Theory. Numerical Linear Algebra in Signals, Systems and Control will contain articles, both the state-of-the-art surveys and technical papers, on theory, computations, and applications addressing significant new developments in these areas. The goal of the volume is to provide authoritative and accessible accounts of the fast-paced developments in computational mathematics, scientific computing, and computational engineering methods, applications, and algorithms. The state-of-the-art surveys will benefit, in particular, beginning researchers, graduate students, and those contemplating to start a new direction of research in these areas. A more general goal is to foster effective communications and exchange of information between various scientific and engineering communities with mutual interests in concepts, computations, and workable, reliable practices.

Linear Algebra and Linear Models

2008-01-18
Linear Algebra and Linear Models

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  • Author: Ravindra B. Bapat
  • Publisher: Springer Science & Business Media
  • ISBN: 038722601X
  • Category : Mathematics
  • Languages : en
  • Pages : 139

This book provides a rigorous introduction to the basic aspects of the theory of linear estimation and hypothesis testing, covering the necessary prerequisites in matrices, multivariate normal distribution and distributions of quadratic forms along the way. It will appeal to advanced undergraduate and first-year graduate students, research mathematicians and statisticians.

Set Linear Algebra and Set Fuzzy Linear Algebra

2008
Set Linear Algebra and Set Fuzzy Linear Algebra

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  • Author: W. B. Vasantha Kandasamy
  • Publisher: Infinite Study
  • ISBN: 1599730294
  • Category : Mathematics
  • Languages : en
  • Pages : 345

Set linear algebras, introduced by the authors in this book, are the most generalized form of linear algebras.These structures make use of very few algebraic operations and are easily accessible to non-mathematicians as well.The dominance of computers in everyday life calls for a paradigm shift in the concepts of linear algebra. The authors believe that set linear algebra will cater to that need.

Differential Equations with Linear Algebra

2009-11-05
Differential Equations with Linear Algebra

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  • Author: Matthew R. Boelkins
  • Publisher: Oxford University Press
  • ISBN: 0199736669
  • Category : Mathematics
  • Languages : en
  • Pages : 573

Linearity plays a critical role in the study of elementary differential equations; linear differential equations, especially systems thereof, demonstrate a fundamental application of linear algebra. In Differential Equations with Linear Algebra, we explore this interplay between linear algebra and differential equations and examine introductory and important ideas in each, usually through the lens of important problems that involve differential equations. Written at a sophomore level, the text is accessible to students who have completed multivariable calculus. With a systems-first approach, the book is appropriate for courses for majors in mathematics, science, and engineering that study systems of differential equations. Because of its emphasis on linearity, the text opens with a full chapter devoted to essential ideas in linear algebra. Motivated by future problems in systems of differential equations, the chapter on linear algebra introduces such key ideas as systems of algebraic equations, linear combinations, the eigenvalue problem, and bases and dimension of vector spaces. This chapter enables students to quickly learn enough linear algebra to appreciate the structure of solutions to linear differential equations and systems thereof in subsequent study and to apply these ideas regularly. The book offers an example-driven approach, beginning each chapter with one or two motivating problems that are applied in nature. The following chapter develops the mathematics necessary to solve these problems and explores related topics further. Even in more theoretical developments, we use an example-first style to build intuition and understanding before stating or proving general results. Over 100 figures provide visual demonstration of key ideas; the use of the computer algebra system Maple and Microsoft Excel are presented in detail throughout to provide further perspective and support students' use of technology in solving problems. Each chapter closes with several substantial projects for further study, many of which are based in applications. Errata sheet available at: www.oup.com/us/companion.websites/9780195385861/pdf/errata.pdf

Linear Algebra over Commutative Rings

2020-11-25
Linear Algebra over Commutative Rings

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  • Author: Bernard R. McDonald
  • Publisher: CRC Press
  • ISBN: 1000110613
  • Category : Mathematics
  • Languages : en
  • Pages : 561

This monograph arose from lectures at the University of Oklahoma on topics related to linear algebra over commutative rings. It provides an introduction of matrix theory over commutative rings. The monograph discusses the structure theory of a projective module.

Applied Linear Algebra and Matrix Methods

2023-11-24
Applied Linear Algebra and Matrix Methods

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  • Author: Timothy G. Feeman
  • Publisher: Springer Nature
  • ISBN: 303139562X
  • Category : Mathematics
  • Languages : en
  • Pages : 330

This textbook is designed for a first course in linear algebra for undergraduate students from a wide range of quantitative and data driven fields. By focusing on applications and implementation, students will be prepared to go on to apply the power of linear algebra in their own discipline. With an ever-increasing need to understand and solve real problems, this text aims to provide a growing and diverse group of students with an applied linear algebra toolkit they can use to successfully grapple with the complex world and the challenging problems that lie ahead. Applications such as least squares problems, information retrieval, linear regression, Markov processes, finding connections in networks, and more, are introduced on a small scale as early as possible and then explored in more generality as projects. Additionally, the book draws on the geometry of vectors and matrices as the basis for the mathematics, with the concept of orthogonality taking center stage. Important matrix factorizations as well as the concepts of eigenvalues and eigenvectors emerge organically from the interplay between matrix computations and geometry. The R files are extra and freely available. They include basic code and templates for many of the in-text examples, most of the projects, and solutions to selected exercises. As much as possible, data sets and matrix entries are included in the files, thus reducing the amount of manual data entry required.