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Autor(en): 
  • F.P. Vasilyev
  • A.Y. Ivanitskiy
  • In-Depth Analysis of Linear Programming 
     

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


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   Auf Bestellung (Lieferzeit unbekannt)
    Veröffentlichung:  Oktober 2001  
    Genre:  Schulbücher 
     
    B / Computational Mathematics and Numerical Analysis / computer science / Econometrics / Economic theory and philosophy / Economic Theory/Quantitative Economics/Mathematical Methods / Management science / Mathematical theory of computation
    ISBN:  9781402000850 
    EAN-Code: 
    9781402000850 
    Verlag:  Springer EN 
    Einband:  Gebunden  
    Sprache:  English  
    Dimensionen:  H 235 mm / B 155 mm / D  
    Gewicht:  1400 gr 
    Seiten:  312 
    Illustration:  XIV, 312 p. 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    Along with the traditional material concerning linear programming (the simplex method, the theory of duality, the dual simplex method), In-Depth Analysis of Linear Programming contains new results of research carried out by the authors.
    For the first time, the criteria of stability (in the geometrical and algebraic forms) of the general linear programming problem are formulated and proved. New regularization methods based on the idea of extension of an admissible set are proposed for solving unstable (ill-posed) linear programming problems. In contrast to the well-known regularization methods, in the methods proposed in this book the initial unstable problem is replaced by a new stable auxiliary problem. This is also a linear programming problem, which can be solved by standard finite methods. In addition, the authors indicate the conditions imposed on the parameters of the auxiliary problem which guarantee its stability, and this circumstance advantageously distinguishes the regularization methods proposed in this book from the existing methods. In these existing methods, the stability of the auxiliary problem is usually only presupposed but is not explicitly investigated.
    In this book, the traditional material contained in the first three chapters is expounded in much simpler terms than in the majority of books on linear programming, which makes it accessible to beginners as well as those more familiar with the area.
      



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