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Autor(en): 
  • Arjen Sevenster
  • P. M. Gruber
  • J. M. Wills
  • Handbook of Convex Geometry 
     

    (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:  August 1993  
    Genre:  Schulbücher 
     
    MATHEMATICS / Geometry / General
    ISBN:  9780444895967 
    EAN-Code: 
    9780444895967 
    Verlag:  Elsevier BV 
    Einband:  Gebunden  
    Sprache:  English  
    Dimensionen:  H 264 mm / B 190 mm / D 56 mm 
    Gewicht:  1560 gr 
    Seiten:  804 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    Handbook of Convex Geometry, Volume A offers a survey of convex geometry and its many ramifications and relations with other areas of mathematics, including convexity, geometric inequalities, and convex sets. The selection first offers information on the history of convexity, characterizations of convex sets, and mixed volumes. Topics include elementary convexity, equality in the Aleksandrov-Fenchel inequality, mixed surface area measures, characteristic properties of convex sets in analysis and differential geometry, and extensions of the notion of a convex set. The text then reviews the standard isoperimetric theorem and stability of geometric inequalities. The manuscript takes a look at selected affine isoperimetric inequalities, extremum problems for convex discs and polyhedra, and rigidity. Discussions focus on include infinitesimal and static rigidity related to surfaces, isoperimetric problem for convex polyhedral, bounds for the volume of a convex polyhedron, curvature image inequality, Busemann intersection inequality and its relatives, and Petty projection inequality. The book then tackles geometric algorithms, convexity and discrete optimization, mathematical programming and convex geometry, and the combinatorial aspects of convex polytopes. The selection is a valuable source of data for mathematicians and researchers interested in convex geometry.

      



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