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    1. Naturvetenskap och teknik
    2. Matematik och naturvetenskap
    3. Matematik
    4. Tillämpad matematik

    Fundamentals of Matrix Analysis with Applications Set

    AvEdward Barry Saff,Arthur David Snider

    Inbunden, Engelska, 2017

    1 526 kr

    Beställningsvara. Skickas inom 11-20 vardagar. Fri frakt över 249 kr.

    Beskrivning

    This set includes Fundamentals of Matrix Analysis with Applications & Solutions Manual to Accompany Fundamentals of Matrix Analysis with ApplicationsProviding comprehensive coverage of matrix theory from a geometric and physical perspective, Fundamentals of Matrix Analysis with Applications describes the functionality of matrices and their ability to quantify and analyze many practical applications.Written by a highly qualified author team, the book presents tools for matrix analysis and is illustrated with extensive examples and software implementations.Beginning with a detailed exposition and review of the Gauss elimination method, the authors maintain readers’ interest with refreshing discussions regarding the issues of operation counts, computer speed and precision, complex arithmetic formulations, parameterization of solutions, and the logical traps that dictate strict adherence to Gauss’s instructions. The book heralds matrix formulation both as notational shorthand and as a quantifier of physical operations such as rotations, projections, reflections, and the Gauss reductions. Inverses and eigenvectors are visualized first in an operator context before being addressed computationally. Least squares theory is expounded in all its manifestations including optimization, orthogonality, computational accuracy, and even function theory. Fundamentals of Matrix Analysis with Applications also features: Novel approaches employed to explicate the QR, singular value, Schur, and Jordan decompositions and their applicationsCoverage of the role of the matrix exponential in the solution of linear systems of differential equations with constant coefficientsChapter-by-chapter summaries, review problems, technical writing exercises, select solutions, and group projects to aid comprehension of the presented concepts

    Produktinformation

    • Utgivningsdatum:2017-12-08
    • Mått:185 x 262 x 40 mm
    • Vikt:1 200 g
    • Format:Inbunden
    • Språk:Engelska
    • Antal sidor:676
    • Förlag:John Wiley & Sons Inc
    • ISBN:9781118995419

    Utforska kategorier

    • Tillämpad matematik inom Naturvetenskap och teknik

    Mer om författaren

    Edward Barry Saff, PhD,?is Professor of Mathematics and Director of the Center for Constructive Approximation at Vanderbilt University. Dr. Saff is an Inaugural Fellow of the American Mathematical Society, Foreign Member of the Bulgarian Academy of Science, and the recipient of both a Guggenheim and Fulbright Fellowship. He is Editor-in-Chief of two research journals,?Constructive Approximation?and?Computational Methods and Function Theory, and has authored or coauthored over 250 journal articles and eight books. Dr. Saff also serves as an organizer for a sequence of international research conferences that help to foster the careers of mathematicians from developing countries. Arthur Da vid Snider, PhD, PE, is Professor Emeritus at the University of South Florida, where he served on the faculties of the Departments of Mathematics, Physics, and Electrical Engineering. Previously an analyst at the Massachusetts Institute of Technology's Draper Lab and recipient of the USF Krivanek Distinguished Teacher Award, he consults in industry and has authored or coauthored over 100 journal articles and eight books. With the support of the National Science Foundation, Dr. Snider also pioneered a course in fine art appreciation for engineers.

    Innehållsförteckning

    • PrefacePart IIntroduction: Three ExamplesChapter 1. SYSTEMS OF LINEAR ALGEBRAIC EQUATIONS1.1 Linear Algebraic Equations1.2 Matrix Representation of Linear Systems and the Gauss]Jordan Algorithm1.3 The Complete Gauss Elimination Algorithm1.4 Echelon Form and Rank1.5 Computational ConsiderationsChapter 2. MATRIX ALGEBRA2.1 Matrix Multiplication2.2 Some Applications of Matrix Operators2.3 The Inverse and the Transpose2.4 Determinants2.5 Three Important Determinant RulesReview Problems for Part ITechnical Writing Exercises for Part IGroup Projects for Part IA. LU FactorizationB. Two]Point Boundary Value ProblemsC. Electrostatic VoltageD. Kirchhoff's LawsE. Global Positioning SystemsPart IIIntroduction: The Structure of General Solutions to Linear Algebraic EquationsChapter 3. VECTOR SPACES3.1 General Spaces, Subspaces, and Spans3.2 Linear Dependence3.3 Bases, Dimension, and RankChapter 4. ORTHOGONALITY4.1 Orthogonal Vectors and the Gram]Schmidt Algorithm Norm4.2 Orthogonal Matrices4.3 Least Squares4.4 Function SpacesReview Problems for Part IIMagic squareControllabilityTechnical Writing Exercises for Part IIGroup Projects for Part IIA. Orthogonal Matrices, Rotations, and ReflectionsB. Householder Reflectors and the QR FactorizationC. Infinite Dimensional MatricesPart IIIIntroduction: Reflect on ThisChapter 5. Eigenvalues and Eigenvectors5.1 Eigenvector Basics5.2 Calculating Eigenvalues and Eigenvectors5.3 Symmetric and Hermitian MatricesChapter 5. SummaryChapter 6. Similarity6.1 Similarity Transformations and Diagonalizability6.2 Principal Axes Normal Modes6.3 Schur Decomposition and Its Implications6.4 The Power Method and the QR AlgorithmChapter 7. Linear Systems of Differential Equations7.1 First Order Linear Systems of Differential Equations7.2 The Matrix Exponential Function7.3 The Jordan Normal FormReview Problems for Part IIITechnical Writing Exercises for Part IIIGroup Projects for Part IIIA. Positive Definite MatricesB. Hessenberg FormC. The Discrete Fourier Transform and Circulant MatricesAnswers to Odd]Numbered ProblemsIndex