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Autor(en): 
  • Arthur David Snider
  • Edward Barry Saff
  • Fundamentals of Matrix Analysis with Applications Set 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 3 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   i.d.R. innert 14-24 Tagen versandfertig
    Veröffentlichung:  Dezember 2017  
    Genre:  Schulbücher 
     
    Analysis / Electrical & Electronics Engineering / Elektrotechnik u. Elektronik / Linear Algebra / Lineare Algebra / Mathematical analysis / Mathematics / Mathematik / Mathematische Analyse / Matrix (Math.) / Numerical Methods & Algorithms / Numerische Methoden u. Algorithmen
    ISBN:  9781118995419 
    EAN-Code: 
    9781118995419 
    Verlag:  John Wiley & Sons Inc 
    Einband:  Gebunden  
    Sprache:  English  
    Dimensionen:  H 189 mm / B 263 mm / D 40 mm 
    Gewicht:  1290 gr 
    Seiten:  676 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    This set includes Fundamentals of Matrix Analysis with Applications & Solutions Manual to Accompany Fundamentals of Matrix Analysis with Applications Providing 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 applications * Coverage of the role of the matrix exponential in the solution of linear systems of differential equations with constant coefficients * Chapter-by-chapter summaries, review problems, technical writing exercises, select solutions, and group projects to aid comprehension of the presented concepts

      
     Empfehlungen... 
     Fundamentals of Matrix Analysis with Applications - (Buch)
     Solutions Manual to Accompany Fundamentals of Matr - (Buch)
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