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Parton distributions with scale uncertainties
Z Kassabov, M Ubiali, C Voisey
Mar 21, 2023
Abstract We present the MCscales approach for incorporating scale uncertainties in parton distribution functions (PDFs). The new methodology builds on the...
Quasi-Monte Carlo and Multilevel Monte Carlo Methods for Computing Posterior Expectations in Elliptic Inverse Problems
We are interested in computing the expectation of a functional of a PDE solution under a Bayesian posterior distribution. Using Bayes's rule, we reduce the problem to estimating the ratio of two related prior expectations. For a...
Interview with Johann M. McCrackin
Johann M. McCrackin
Jan 01, 0001
Interview with Johann M. McCrackin, 1984 South Carolina Mother of the Year.
Published by: Winthrop University
Quasi-Monte Carlo and Multilevel Monte Carlo Methods for Computing Posterior Expectations in Elliptic Inverse Problems
We are interested in computing the expectation of a functional of a PDE solution under a Bayesian posterior distribution. Using Bayes's rule, we reduce the problem to estimating the ratio of two related prior expectations. For a...
Anytime Monte Carlo
LM Murray, SS Singh, A Lee
Oct 22, 2021
Abstract Monte Carlo algorithms simulates some prescribed number of samples, taking some random real time to complete the computations necessary. This work considers the converse: to impose a...
Polymorphism in M(H2PO2)3 (M = V, Al, Ga) compounds with the perovskite-related ReO3 structure.
Trivalent metal hypophosphites with the general formula M(H2PO2)3 (M = V, Al, Ga) adopt the ReO3 structure, with each compound displaying two structural polymorphs. High-pressure synchrotron X-ray studies reveal a...
Sphere Encapsulated Monte Carlo
We introduce a simple global optimization approach that is able to find minimum energy configurations of clusters containing aromatic molecules. The translational and rotational perturbations required in Monte Carlo-based...
Spin correlations in Monte Carlo simulations.
P Richardson
Feb 17, 2010
We show that the algorithm originally proposed by Collins and Knowles for spin correlations in the QCD parton shower can be used in order to include spin correlations between the production and decay of heavy particles in Monte...
Analysis of reported error in Monte Carlo rendered images.
Evaluating image quality in Monte Carlo rendered images is an important aspect of the rendering process as we often need to determine the relative quality between images computed using different algorithms and with varying...
Thomas M. Rivers, 1934
Dr. Thomas M. Rivers. Filterable Viruses with Particular Reference to Psittacosis Lecture delivered April 19th, 1934 Posted with permission
An n-dimensional Rosenbrock distribution for Markov chain Monte Carlo testing
F Pagani, M Wiegand, S Nadarajah
May 12, 2021
Abstract: The Rosenbrock function is a ubiquitous benchmark problem in numerical optimization, and variants have been proposed to test the performance of Markov chain Monte Carlo algorithms on distributions with a curved and...
Investigating Students' Intention to Use M-Learning
Mohammed Almulla
Jan 01, 2024
Mobile learning (M-learning) has become a crucial tool for both students and educators. The unified theory of acceptance and use of technology (UTAUT), the technology acceptance model (TAM), and outside factors were all included...
Transitions between imperfectly ordered crystalline structures
Nigel Wilding
Jan 01, 0001
A model for two-dimensional colloids confined laterally by “structured boundaries” (i.e., ones that impose a periodicity along the slit) is studied by Monte Carlo simulations. When the distance D between the confining walls is...
Adversarial Monte Carlo Denoising with Conditioned Auxiliary Feature Modulation
Denoising Monte Carlo rendering with a very low sample rate remains a major challenge in the photo-realistic rendering research. Many previous works, including regression-based and learning-based methods, have been explored to...
SCONE
Over the last decade, the importance of the Monte Carlo as a neutron transport calculation method has greatly increased. This paper describes a Monte Carlo particle transport framework SCONE, which aims to provide with...
Transitions between imperfectly ordered crystalline structures
Nigel Wilding
Jan 01, 0001
A model for two-dimensional colloids confined laterally by “structured boundaries” (i.e., ones that impose a periodicity along the slit) is studied by Monte Carlo simulations. When the distance D between the confining walls is...
Adversarial Monte Carlo Denoising with Conditioned Auxiliary Feature Modulation
Denoising Monte Carlo rendering with a very low sample rate remains a major challenge in the photo-realistic rendering research. Many previous works, including regression-based and learning-based methods, have been explored to...
Digital M&A and Firm Innovation
This study empirically examines how digital M&A affects firm innovation using data from Chinese listed companies from 2006 to 2019. The results show that digital M&A promotes firm innovation, and our findings also suggest that...
Monte-Carlo Methods for the Neutron Transport Equation
This paper continues our treatment of the Neutron Transport Equation (NTE) building on the work in [arXiv:1809.00827v2], [arXiv:1810.01779v4] and [arXiv:1901.00220v3], which describes the flux of neutrons through inhomogeneous...
JEFFREY M. FRIEDMAN
congratulations to Professor Jeffrey M. Friedman, recipient of the 2010 Albert Lasker Basic Medical Research Award
High voltage sulphate cathodes Li<sub>2</sub>M(SO<sub>4</sub>)<sub>2</sub> (M = Fe, Mn, Co)
The search for high voltage cathodes for lithium-ion batteries has led to recent interest in the monoclinic Li2Fe(SO4)2 material which has a voltage of 3.83 V vs. lithium, the highest recorded for a fluorine-free iron-based...
Combining the Transcorrelated Method with Full Configuration Interaction Quantum Monte Carlo
Hongjun Luo, Ali Alavi
Nov 13, 2018
We suggest an efficient method to resolve electronic cusps in electronic structure calculations through the use of an effective transcorrelated Hamiltonian. This effective Hamiltonian takes a simple form for plane wave bases...
Continuous Level Monte Carlo and Sample-Adaptive Model Hierarchies

In this paper, we present a generalization of the multilevel Monte Carlo (MLMC) method to a setting where the level parameter is a continuous variable. This continuous level Monte Carlo (CLMC) estimator provides a natural...

Frederick M. Allen, 1916
Frederick M. Allen, M.D. The Role of Fat in Diabetes. Delivered November 4th, 1916
Published by: J.B. Lippincott Company
Quasi-Monte Carlo methods for elliptic PDEs with random coefficients and applications
We devise and implement quasi-Monte Carlo methods for computing the expectations of nonlinear functionals of solutions of a class of elliptic partial differential equations with random coefficients. Our motivation comes from...

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