Viac o knihe
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.
Nákup knihy
Multifunctions and Integrands, A. Dold, B. Eckmann, Gabriella Salinetti
- Jazyk
- Rok vydania
- 1984
- Väzba
- (mäkká),
- Stav knihy
- Poškodená
- Cena
- 18,89 €
Platobné metódy
Nikto zatiaľ neohodnotil.
- Titul
- Multifunctions and Integrands
- Podtitul
- Stochastic Analysis, Approximation, And Optimization. Proceedings Of A Conference Held In Catania, Italy, June 1983
- Jazyk
- anglicky
- Autori
- A. Dold, B. Eckmann, Gabriella Salinetti
- Vydavateľ
- Springer
- Rok vydania
- 1984
- Väzba
- mäkká
- Počet strán
- 248
- ISBN10
- 354013882X
- ISBN13
- 9783540138822
- Série
- Štítky
- Veda, Odborná literatúra, Štatistika, Optimalizácia
- Anotácia
- 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.