The Probabilistic Analysis of Drought Severity- Duration in North Khorasan Province using Copula Functions [PDF]
پژوهشهای آبخیزداری, 2023 Introduction and Objective Droughts have a set of negative environmental, social and economic effects in a region or country. Using a monthly index and its analysis that, in addition to precipitation values, takes into account the effect of evaporation ...
Mehdi Teimouri +2 more
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Physical Review X, 2015 Numerical results for ground-state and excited-state properties (energies, double occupancies, and Matsubara-axis self-energies) of the single-orbital Hubbard model on a two-dimensional square lattice are presented, in order to provide an assessment of ...
J. P. F. LeBlanc +24 more
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A numerical algorithm for fully nonlinear HJB equations: an approach by control randomization [PDF]
, 2013 We propose a probabilistic numerical algorithm to solve Backward Stochastic Differential Equations (BSDEs) with nonnegative jumps, a class of BSDEs introduced in [9] for representing fully nonlinear HJB equations.
Kharroubi, Idris +2 more
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Physical Review Special Topics. Accelerators and Beams, 2011 In this paper we discuss representations of charge particle densities in particle-in-cell simulations, analyze the sources and profiles of the intrinsic numerical noise, and present efficient methods for their removal.
Balša Terzić, Gabriele Bassi
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Yield-Constrained Optimization Design Using Polynomial Chaos for Microwave Filters
IEEE Access, 2021 Yield optimization aims at finding microwave filter designs with high yield under fabrication tolerance. The electromagnetic (EM) simulation-based yield optimization methods are computationally expensive because a large number of EM simulations is ...
Zhen Zhang +4 more
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Estimating hyperparameters and instrument parameters in regularized inversion. Illustration for SPIRE/Herschel map making [PDF]
, 2012 We describe regularized methods for image reconstruction and focus on the question of hyperparameter and instrument parameter estimation, i.e. unsupervised and myopic problems.
Abergel, A. +3 more
core +11 more sources
Adaptive independent sticky MCMC algorithms
EURASIP Journal on Advances in Signal Processing, 2018 Monte Carlo methods have become essential tools to solve complex Bayesian inference problems in different fields, such as computational statistics, machine learning, and statistical signal processing.
Luca Martino +3 more
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Hybrid stochastic kinetic description of two-dimensional traffic dynamics [PDF]
, 2017 In this work we present a two-dimensional kinetic traffic model which takes into account speed changes both when vehicles interact along the road lanes and when they change lane.
Herty, Michael +3 more
core +2 more sources
Monte Carlo Numerical Models for Nuclear Logging Applications [PDF]
Journal of Systemics, Cybernetics and Informatics, 2012 Nuclear logging is one of most important logging services provided by many oil service companies. The main parameters of interest are formation porosity, bulk density, and natural radiation.
Fusheng Li, Xiaogang Han
doaj
Development of a New Low-Energy Neutron Spectrometer Using a Position-Sensitive Proportional Counter: Examination of the Response Function Considering the Spectrometer Shield [PDF]
Journal of Radiation Protection and ResearchBackground Boron neutron capture therapy (BNCT) is a potential radiation therapy for treating refractory cancers. Measuring the neutron energy spectrum is important to evaluate the biological effect of BNCT.
Yu Fujiwara +3 more
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