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Eigenvalues and dynamical properties of weighted backward shifts on the space of real analytic functions
(Institute of Mathematics Polish Academy of Sciences, 2018)
Usually backward shift is neither chaotic nor hypercyclic. We will show that on the space A(Omega) of real analytic functions on a connected set Omega subset of R with 0 is an element of Omega, the backward shift operator ...
High-throughput computational screening of the metal organic framework database for CH4/H-2 separations
(American Chemical Society, 2018-01)
Metal organic frameworks (MOFs) have been considered as one of the most exciting porous materials discovered in the last decade. Large surface areas, high pore volumes, and tailorable pore sizes make MOFs highly promising ...
Convergence of a semi-discrete numerical method for a class of nonlocal nonlinear wave equations
(EDP Sciences, 2018-09-13)
In this article, we prove the convergence of a semi-discrete numerical method applied to a general class of nonlocal nonlinear wave equations where the nonlocality is introduced through the convolution operator in space. ...
Approximations for constrained Markov decision problems
(Springer, 2018)
This chapter studies the finite-state approximation of a discrete-time constrained Markov decision process with compact state space, under the discounted and average cost criteria. Using the linear programming formulation ...
Finite-action approximation of Markov decision processes
(Birkhäuser Basel, 2018)
In this chapter, we study the finite-action approximation of optimal control policies for discrete-time Markov decision processes (MDPs) with Borel state and action spaces, under discounted and average cost criteria. One ...
Finite model approximations in decentralized stochastic control
(Birkhäuser Basel, 2018)
In this chapter, we study the approximation of static and dynamic team problems using finite models which are obtained through the uniform discretization, on a finite grid, of the observation and action spaces of agents. ...
Finite-state approximation of Markov decision processes
(Springer, 2018)
In this chapter we study the finite-state approximation problem for computing near optimal policies for discrete-time MDPs with Borel state and action spaces, under discounted and average costs criteria. Even though existence ...
Finite approximations in discrete-time stochastic control : quantized models and asymptotic optimality
(Birkhäuser Basel, 2018)
In a unified form, this monograph presents fundamental results on the approximation of centralized and decentralized stochastic control problems, with uncountable state, measurement, and action spaces. It demonstrates how ...
Investigation of the excited states in hidden charm hidden strange sector
(2018)
In this work, we studied the radial excitations of X(4140) and like states within QCD sum rules. We chose three molecular and three diquark-antidiquark currents with the quark content cc‾ss‾ and JPC = 0++, 1++, 2++, and ...
Approximations for partially observed Markov decision processes
(Birkhäuser Basel, 2018)
This chapter studies the finite-model approximation of discrete-time partially observed Markov decision process. We will find that by performing the standard reduction method, where one transforms a partially observed model ...
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