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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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  • 248 pages
  • 9 hours of reading

More about the book

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.

Book purchase

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

Language
Released
1984
Binding
(Paperback),
Book condition
Damaged
Price
€18.89

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Title
Multifunctions and Integrands
Subtitle
Stochastic Analysis, Approximation, And Optimization. Proceedings Of A Conference Held In Catania, Italy, June 1983
Language
English
Publisher
Springer
Released
1984
Format
Paperback
Pages
248
ISBN10
354013882X
ISBN13
9783540138822
Series
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.