Nonsmooth Vector Functions and Continuous Optimization

Nonsmooth Vector Functions and Continuous Optimization

von: V. Jeyakumar, Dinh The Luc

Springer-Verlag, 2007

ISBN: 9780387737171 , 270 Seiten

Format: PDF

Kopierschutz: Wasserzeichen

Windows PC,Mac OSX für alle DRM-fähigen eReader Apple iPad, Android Tablet PC's

Preis: 96,29 EUR

  • Self-Organized Nanoscale Materials
    Vacuum Technology - Practice for Scientific Instruments
    Magneto-Fluid Dynamics - Fundamentals and Case Studies of Natural Phenomena
    Quantum Imaging
    Geology and Habitability of Terrestrial Planets
    Lunar and Planetary Rovers - The Wheels of Apollo and the Quest for Mars
  • Russian Planetary Exploration - History, Development, Legacy and Prospects
    Scattering from Model Nonspherical Particles - Theory and Applications to Environmental Physics
    Return to the Moon - Exploration, Enterprise, and Energy in the Human Settlement of Space
    Auralization - Fundamentals of Acoustics, Modelling, Simulation, Algorithms and Acoustic Virtual Reality
    Modulated Temperature Differential Scanning Calorimetry - Theoretical and Practical Applications in Polymer Characterisation
    Observing the Sun with Coronado™ Telescopes
 

Mehr zum Inhalt

Nonsmooth Vector Functions and Continuous Optimization


 

Focusing on the study of nonsmooth vector functions, this book presents a comprehensive account of the calculus of generalized Jacobian matrices and their applications to continuous nonsmooth optimization problems, as well as variational inequalities in finite dimensions. The treatment is motivated by a desire to expose an elementary approach to nonsmooth calculus, using a set of matrices to replace the nonexistent Jacobian matrix of a continuous vector function.