Stochastic Optimization Proceedings of the International Conference, Kiev, 1984

Bibliographic Details
Other Authors: Arkin, Vadim I. (Editor), Shiraev, A. (Editor), Wets, R. (Editor)
Format: eBook
Language:English
Published: Berlin, Heidelberg Springer Berlin Heidelberg 1986, 1986
Edition:1st ed. 1986
Series:Lecture Notes in Control and Information Sciences
Subjects:
Online Access:
Collection: Springer Book Archives -2004 - Collection details see MPG.ReNa
Table of Contents:
  • Stochastic programming methods: Convergence and non-asymptotic estimation of the convergence rate
  • Solution of a stochastic programming problem concerning the distribution of water resources
  • Limit theorems for processes generated by stochastic optimization algorithms
  • On the structure of optimality criteria in stochastic optimization models
  • Strong laws for a class of path-dependent stochastic processes with applications
  • The generalized extremum in the class of discontinuous functions and finitely additive integration
  • Convex multivalued mappings and stochastic models of the dynamics of economic systems
  • Stability in stochastic programming — Probabilistic constraints
  • Duality in improper mathematical programming problems under uncertainty
  • Equilibrium states of monotonic operators and equilibrium trajectories in stochastic economic models
  • Finite horizon approximates of infinite horizon stochastic programs
  • Simultaneous estimation of states and parameters in control systems with incomplete data
  • Approximate solutions of differential games using mixed strategies
  • On the solution sets for uncertain systems with phase constraints
  • Existence of a value for a general zero-sum mixt game
  • Positional modeling of stochastic control in dynamical systems
  • Use of the h-convex set method in differential games
  • A linear differential pursuit game
  • Methods of constructing guaranteed estimates of parameters of linear systems and their statistical properties
  • Stochastic and deterministic control: Differential inequalities
  • The search for singular extremals
  • On the smoothness of the bellman function in optimal control problems with incomplete data
  • A stochastic lake eutrophication management model
  • A dynamic model of market behavior
  • Recursive stochastic gradient procedures in the presence of dependent noise
  • Random search as a method for optimization and adaptation
  • Linear-quadratic programming problems with stochastic penalties: The finite generation algorithm
  • Convergence of stochastic infima: Equi-semicontinuity
  • Growth rates and optimal paths in stochastic models of expanding economies
  • Extremum problems depending on a random parameter
  • Adaptive control of parameters in gradient algorithms for stochastic optimization
  • Stochastic models and methods of optimal planning
  • Differential inclusions and controlled systems: Properties of solutions
  • Guaranteed estimation of reachable sets for controlled systems
  • Methods of group pursuit
  • An averaging principle for optimal control problems with singular perturbations
  • On a certain class of inverse problems in control system dynamics
  • On the weak convergence of controlled semi-martingales
  • Estimation of parameters and control of systems with unknown parameters
  • On recursive approximations with error bounds in nonlinear filtering
  • On approximations to discrete-time stochastic control problems
  • On lexicographical optimality criteria in controlled markov chains
  • Canonical correlations, hankel operatiors and markovian representations of multivariate stationary Gaussian processes
  • The maximum principle in stochastic problems with non-fixed random control time
  • Optimal control of stochastic integral equations
  • Some direct methods for computing optimal estimators for forecasting and filtering problems involving stochastic processes
  • On functional equations of discrete dynamic programming
  • Risk-sensitive and Hamiltonian formulations in optimal control
  • Martingales insurvival analysis
  • Markov decision processes with both continuous and impulsive control
  • Stochastic optimization techniques for finding optimal submeasures
  • Strong consistency theorems related to stochastic quasi-Newton methods
  • Stochastic gradient methods for optimizing electrical transportation networks
  • On the functional dependence between the available information and the chosen optimality principle
  • Uncertainty in stochastic programming
  • Stochastic programming models for safety stock allocation
  • Direct averaging and perturbed test function methods for weak convergence
  • On the approximation of stochastic convex programming problems
  • Extremal problems with probability measures, functionally closed preorders and strong stochastic dominance
  • Expected value versus probability of ruin strategies
  • Controlled random search procedures forglobal optimization
  • On Bayesian methods in nondifferential and stochastic programming
  • On stochastic programming in hilbert space
  • Reduction of risk using a differentiated approach
  • A martingale approach to partially observable controlled stochastic systems
  • On the limiting distribution of extremum points for certain stochastic optimization models
  • The structure of persistently nearly-optimal strategies in stochastic dynamic programming problems
  • On the derivation of a filtering equation for a non-observable semimartingale
  • On the representation of functionals of a wiener sheet by stochastic integrals
  • The maximum principle for optimal control of diffusions with partial information
  • Explicit solution of a consumption/investment problem
  • On the asymptotic behavior of some optimal estimates of parameters of nonlinear regression functions
  • On the ?-optimal control of a stochastic integral equation with an unknown parameter
  • Some properties of value functions for controlled diffusion processes
  • Stochastic control with state constraints and non-linear elliptic equations with infinite boundary conditions