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Multifunctions and Integrands

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

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  • 248pages
  • 9 heures de lecture

En savoir plus sur le livre

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.

Achat du livre

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

Langue
Année de publication
1984
Reliure
(souple),
État du livre
Abîmé
Prix
18,89 €

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Sous-titre
Stochastic Analysis, Approximation, And Optimization. Proceedings Of A Conference Held In Catania, Italy, June 1983
Langue
Anglais
Éditeur
Springer
Publié
1984
Format
souple
Pages
248
ISBN10
354013882X
ISBN13
9783540138822
Séries
Description
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.