Multivariate nonlinear analysis and prediction of Shanghai stock market.
Multivariate stochastic dominance for multivariate normal distribution
Stochastic dominance is widely used in comparing two risks represented by random variables or random vectors. There are general approaches, based on knowledge of distributions, which are dedicated to identify stochastic dominance. These methods can be often simplified for specific distribution. This is the case of univariate normal distribution, for which the stochastic dominance rules have a very simple form. It is however not straightforward if these rules are also valid for multivariate normal...
Mycielski ideals generated by uncountable systems
Náhodná střetnutí
Nash and Stackelberg solutions to general linear-quadratic two-player difference games. II. Open-closed strategies
Nash and Stackelberg solutions to general linear-quadratic two player difference games. I. Open-loop and feedback strategies
Nash equilibria for a model of traffic flow with several groups of drivers
Traffic flow is modeled by a conservation law describing the density of cars. It is assumed that each driver chooses his own departure time in order to minimize the sum of a departure and an arrival cost. There are N groups of drivers, The i-th group consists of κi drivers, sharing the same departure and arrival costs ϕi(t),ψi(t). For any given population sizes κ1,...,κn, we prove the existence of a Nash equilibrium solution, where no driver can lower his own total cost by choosing a different departure...
Nash Equilibria in a class of Markov stopping games
This work concerns a class of discrete-time, zero-sum games with two players and Markov transitions on a denumerable space. At each decision time player II can stop the system paying a terminal reward to player I and, if the system is no halted, player I selects an action to drive the system and receives a running reward from player II. Measuring the performance of a pair of decision strategies by the total expected discounted reward, under standard continuity-compactness conditions it is shown...
Nash equilibrium design and price-based coordination in hierarchical systems
This paper deals with the problem of designing Nash equilibrium points in noncooperative games in which agents anticipate values of Lagrange multipliers coordinating their payoff functions. The addressed model of agents' interactions, referred to as the price-anticipation game, is studied within the framework of coordination and mechanism design theory for hierarchical systems. Sufficient conditions are formulated for Nash implementation of a regular and isolated solution to a coordination problem....
Nash equilibrium for a multiobjective control problem related to wastewater management
This paper is concerned with mathematical modelling in the management of a wastewater treatment system. The problem is formulated as looking for a Nash equilibrium of a multiobjective pointwise control problem of a parabolic equation. Existence of solution is proved and a first order optimality system is obtained. Moreover, a numerical method to solve this system is detailed and numerical results are shown in a realistic situation posed in the estuary of Vigo (Spain).
Nash equilibrium payoffs for stochastic differential games with reflection
In this paper, we investigate Nash equilibrium payoffs for nonzero-sum stochastic differential games with reflection. We obtain an existence theorem and a characterization theorem of Nash equilibrium payoffs for nonzero-sum stochastic differential games with nonlinear cost functionals defined by doubly controlled reflected backward stochastic differential equations.
Nash -equilibria for stochastic games with total reward functions: an approach through Markov decision processes
The main objective of this paper is to find structural conditions under which a stochastic game between two players with total reward functions has an -equilibrium. To reach this goal, the results of Markov decision processes are used to find -optimal strategies for each player and then the correspondence of a better answer as well as a more general version of Kakutani’s Fixed Point Theorem to obtain the -equilibrium mentioned. Moreover, two examples to illustrate the theory developed are presented....
National and ideological influence in the European Parliament
Nature–inspired metaheuristic algorithms to find near–OGR sequences for WDM channel allocation and their performance comparison
Nowadays, nature–inspired metaheuristic algorithms are most powerful optimizing algorithms for solving the NP–complete problems. This paper proposes three approaches to find near–optimal Golomb ruler sequences based on nature–inspired algorithms in a reasonable time. The optimal Golomb ruler (OGR) sequences found their application in channel–allocation method that allows suppression of the crosstalk due to four–wave mixing in optical wavelength division multiplexing systems. The simulation results...
Necessary conditions for linear noncooperative N-player delta differential games on time scales
We present necessary conditions for linear noncooperative N-player delta dynamic games on an arbitrary time scale. Necessary conditions for an open-loop Nash-equilibrium and for a memoryless perfect state Nash-equilibrium are proved.
Necessary optimality conditions for -player nonzero-sum multistage games
Negotiations under uncertainty.
Neimark-Sacker bifurcation in a discrete-time financial system.
Neo-classical approach to modelling of investments
Neural network optimal control for nonlinear system based on zero-sum differential game
In this paper, for a class of the complex nonlinear system control problems, based on the two-person zero-sum game theory, combined with the idea of approximate dynamic programming(ADP), the constrained optimization control problem is solved for the nonlinear systems with unknown system functions and unknown time-varying disturbances. In order to obtain the approximate optimal solution of the zero-sum game, the multilayer neural network is used to fit the evaluation network, the execution network...