Genomic surveillance—the process of monitoring and sequencing pathogens—is one of the most important tools for detecting ...
Combinatorial optimization problems are often encountered in real-world applications, including logistics, scheduling and ...
NASA’s HiCAM program seeks to accelerate composite production technologies used for current widebody aircraft, like this Boeing 787 forward section, to meet higher rates for future single-aisle ...
Data assimilation is an important mathematical discipline in earth sciences, particularly in numerical weather prediction (NWP). However, conventional data assimilation methods require significant ...
Abstract: We consider a Cartesian stochastic variational inequality problem with a monotone map. Monotone stochastic variational inequalities arise naturally, for instance, as the equilibrium ...
This repository contains a Monte-Carlo solver to train neural-network variational wavefunction to solve continuous-space Fermi systems [M Geier, K Nazaryan, T Zaklama, L Fu, Phys. Rev. B 112, 045119 ...
ABSTRACT: This study presents a comprehensive numerical investigation of fourth-order nonlinear boundary value problems (BVPs) using an efficient and accurate computational approach. The present work ...
DAEJEON, South Korea (October 14, 2024) – Qunova Computing, a developer of quantum software applications designed to bring quantum computing to the chemical, pharmaceutical and industrial engineering ...
PyVBMC is a Python implementation of the Variational Bayesian Monte Carlo (VBMC) algorithm for posterior and model inference, previously implemented in MATLAB. VBMC is an approximate inference method ...
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