Bookbot

Multifunctions and Integrands

Stochastic Analysis, Approximation, And Optimization. Proceedings Of A Conference Held In Catania, Italy, June 1983

Parametry

  • 248 stron
  • 9 godzin czytania

Więcej o książce

Variational systems, an introduction.- Extension of the class of Markov controls.- Limit laws for multifunctions applied to an optimization problem.- Variational properties of EPI-convergence, applications to limit analysis problems in mechanics and duality theory.- Slow and heavy viable trajectories of controlled problems. Smooth viability domains.- A new class of evolution equation in a Hilbert space.- A fixed point theorem for subsets of L1.- Modelling sets.- On a definition of ?-convergence of measures.- Strong laws of large numbers for multivalued random variables.- Approaches to weak convergence.- Critical points and evolution equations.- Decomposability as a substitute for convexity.- Multifunctions associated with parameterized classes of constrained optimization problems.- Continuity of measurable convex multifunctions.- Some bang-bang theorems.

Zakup książki

Multifunctions and Integrands, B. Eckmann, A. Dold, Gabriella Salinetti

Język
Rok wydania
1984
Oprawa
(miękka)
Jak tylko się pojawi, wyślemy Ci wiadomość e-mail.

Metody płatności

Nikt jeszcze nie ocenił.

Tytuł
Multifunctions and Integrands
Podtytuł
Stochastic Analysis, Approximation, And Optimization. Proceedings Of A Conference Held In Catania, Italy, June 1983
Język
angielski
Wydawca
Springer
Rok wydania
1984
Oprawa
miękka
Liczba stron
248
ISBN10
354013882X
ISBN13
9783540138822
Seria
Opis
Variational systems, an introduction.- Extension of the class of Markov controls.- Limit laws for multifunctions applied to an optimization problem.- Variational properties of EPI-convergence, applications to limit analysis problems in mechanics and duality theory.- Slow and heavy viable trajectories of controlled problems. Smooth viability domains.- A new class of evolution equation in a Hilbert space.- A fixed point theorem for subsets of L1.- Modelling sets.- On a definition of ?-convergence of measures.- Strong laws of large numbers for multivalued random variables.- Approaches to weak convergence.- Critical points and evolution equations.- Decomposability as a substitute for convexity.- Multifunctions associated with parameterized classes of constrained optimization problems.- Continuity of measurable convex multifunctions.- Some bang-bang theorems.