Results 11 to 20 of about 1,649,141 (165)
Stochastic Control Representations for Penalized Backward Stochastic Differential Equations [PDF]
This paper shows that penalized backward stochastic differential equation (BSDE), which is often used to approximate and solve the corresponding reflected BSDE, admits both optimal stopping representation and optimal control representation.
Liang, Gechun
core +3 more sources
Data‐driven performance metrics for neural network learning
Summary Effectiveness of data‐driven neural learning in terms of both local mimima trapping and convergence rate is addressed. Such issues are investigated in a case study involving the training of one‐hidden‐layer feedforward neural networks with the extended Kalman filter, which reduces the search for the optimal network parameters to a state ...
Angelo Alessandri+2 more
wiley +1 more source
Stochastic embedding DFT: theory and application to p-nitroaniline [PDF]
Over this past decade, we combined the idea of stochastic resolution of identity with a variety of electronic structure methods. In our stochastic Kohn-Sham DFT method, the density is an average over multiple stochastic samples, with stochastic errors ...
Daniel Neuhauser+6 more
core +4 more sources
The study presents the mechanical and in situ sensing performance of digital light processing‐enabled 2D lattice nanocomposites under monotonic tensile and repeated cyclic loading, and provides guidelines for the design of architectures suitable for strain sensors and smart lightweight structures.
Omar Waqas Saadi+3 more
wiley +1 more source
Architected Lattices with a Topological Transition
This article develops topological metamaterials showing multidirectional two‐step deformation under compression by embedding contact‐enabled topological mechanisms into lattice structures. Experiments on 3D‐printed 2D and 3D lattices and finite element simulations are conducted to demonstrate the working principle of the topological metamaterials.
Shivam Agarwal, Lihua Jin
wiley +1 more source
Bisimulation Relations Between Automata, Stochastic Differential Equations and Petri Nets [PDF]
Two formal stochastic models are said to be bisimilar if their solutions as a stochastic process are probabilistically equivalent. Bisimilarity between two stochastic model formalisms means that the strengths of one stochastic model formalism can be used
Henk A.P. Blom+3 more
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Nonclassical stochastic flows and continuous products
Contrary to the classical wisdom, processes with independent values (defined properly) are much more diverse than white noise combined with Poisson point processes, and product systems are much more diverse than Fock spaces.
Boris Tsirelson+1 more
core +3 more sources
Stationary Markov Perfect Equilibria in Discounted Stochastic Games
The existence of stationary Markov perfect equilibria in stochastic games is shown under a general condition called "(decomposable) coarser transition kernels".
He, Wei, Sun, Yeneng
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In this article, we tested optimal SNP filtering strategies for accurate parentage assignment and pedigree reconstruction for a wild population of red‐spotted masu salmon, Oncorhynchus masou ishikawae. We found that mid‐point filtering in terms of call rate and minor allele frequency performs well for pedigree reconstruction.
Shohei Noda+6 more
wiley +1 more source
We explore 5HT2A receptor activation, a key target for psychedelic drugs, using molecular dynamics simulations. Without Gqα, the active receptor collapses to an inactive conformation, underscoring the G‐protein's role. Discovery of an intermediate “partially‐open” state and the higher affinity of ligands to the orthosteric binding site provides ...
Niklas Viohl+2 more
wiley +1 more source