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Autor(en): 
  • Alexander G. Ramm
  • Nguyen S. Hoang
  • Dynamical Systems Method and Applications: Theoretical Developments and Numerical Examples 
     

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


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   Auf Bestellung (Lieferzeit unbekannt)
    Veröffentlichung:  Januar 2012  
    Genre:  Schulbücher 
     
    Chaos / Fractal / Dynamical Systems / Chaos, Fraktale u. dynamische Systeme / Control Systems Technology / Electrical & Electronics Engineering / Elektrotechnik u. Elektronik / Mathematics / Mathematik / Numerical Methods / Numerische Mathematik / numerische Methoden / Regelungstechnik
    ISBN:  9781118024287 
    EAN-Code: 
    9781118024287 
    Verlag:  Wiley 
    Einband:  Gebunden  
    Sprache:  English  
    Dimensionen:  H 243 mm / B 162 mm / D 34 mm 
    Gewicht:  942 gr 
    Seiten:  576 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    Demonstrates the application of DSM to solve a broad range of operator equations The dynamical systems method (DSM) is a powerful computational method for solving operator equations. With this book as their guide, readers will master the application of DSM to solve a variety of linear and nonlinear problems as well as ill-posed and well-posed problems. The authors offer a clear, step-by-step, systematic development of DSM that enables readers to grasp the method's underlying logic and its numerous applications. Dynamical Systems Method and Applications begins with a general introduction and then sets forth the scope of DSM in Part One. Part Two introduces the discrepancy principle, and Part Three offers examples of numerical applications of DSM to solve a broad range of problems in science and engineering. Additional featured topics include: * General nonlinear operator equations * Operators satisfying a spectral assumption * Newton-type methods without inversion of the derivative * Numerical problems arising in applications * Stable numerical differentiation * Stable solution to ill-conditioned linear algebraic systems Throughout the chapters, the authors employ the use of figures and tables to help readers grasp and apply new concepts. Numerical examples offer original theoretical results based on the solution of practical problems involving ill-conditioned linear algebraic systems, and stable differentiation of noisy data. Written by internationally recognized authorities on the topic, Dynamical Systems Method and Applications is an excellent book for courses on numerical analysis, dynamical systems, operator theory, and applied mathematics at the graduate level. The book also serves as a valuable resource for professionals in the fields of mathematics, physics, and engineering.

      



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