Results 71 to 80 of about 1,952 (235)
Adaptive Stochastic Collocation on Sparse Grids [PDF]
PAMM, 2012 AbstractWe consider Partial Differential Equations (PDEs) with random parameters, solved by adaptive stochastic collocation. Our research studies common error indicators compared to adjoint based error estimates extended to the stochastic framework. We show that such estimates are able to detect the true error very accurately and suggest to replace the
openaire +1 more source
Predicting EU Emissions Allowance Prices Using Macroeconomic Indicators and Hybrid AI Models
Journal of Forecasting, EarlyView.ABSTRACT Predicting carbon allowance prices has grown more crucial in relation to carbon market regulation, financial strategy, and environmental policy development. This study examines a hybrid forecasting system that combines deep learning with ensemble machine learning models to forecast the price fluctuations of EU Emissions Allowance (EUAs) within
Saptarshi Ganguly +2 more
wiley +1 more source
A Multilevel Stochastic Collocation Method for Schrödinger Equations with a Random Potential
SIAM/ASA Journal on Uncertainty Quantification, 2022 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Tobias Jahnke, Benny Stein
openaire +3 more sources
Should multinationals care about development? Rethinking global strategy in an unequal world
Global Strategy Journal, EarlyView.Abstract Research Summary While multinational corporations (MNCs) can profoundly shape global development trajectories, global strategy research has largely treated development as peripheral to core strategic concerns. This Perspective paper examines the contested relationship between global strategy and development, arguing that MNCs are neither ...
Marcus M. Larsen +2 more
wiley +1 more source
Multi-fidelity Stochastic Collocation [PDF]
, 2013 Over the last few years there have been dramatic advances in our understanding of mathematical and computational models of complex systems in the presence of uncertainty.
Raissi, Maziar
core
Land Degradation &Development, EarlyView.ABSTRACT Knowledge of the factors influencing the spatial distribution of farmland soil organic carbon (SOC) content contributes to a better understanding of human impacts on soil, which is crucial for improving soil quality and mitigating climate change.
Ke Quan, Xinguo Li, Xiangyu Ge
wiley +1 more source
COLLOCATING VOLATILITY: A COMPETITIVE ALTERNATIVE TO STOCHASTIC LOCAL VOLATILITY MODELS
International Journal of Theoretical and Applied Finance, 2020 We discuss a competitive alternative to stochastic local volatility models, namely the Collocating Volatility (CV) framework, introduced in [L. A. Grzelak (2019) The CLV framework — A fresh look at efficient pricing with smile, International Journal of Computer Mathematics 96 (11), 2209–2228].
A.W. van der Stoep (Anton) +2 more
openaire +4 more sources
A Posteriori Error Estimation for the Stochastic Collocation Finite Element Method [PDF]
SIAM Journal on Numerical Analysis, 2018 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Diane Guignard, Fabio Nobile
openaire +1 more source
Nordgren PINNs to VQE: Advancing Hydraulic Fracturing Simulations in Shale Reservoirs
International Journal for Numerical and Analytical Methods in Geomechanics, EarlyView.ABSTRACT This study advances hydraulic fracturing simulations in shale reservoirs using two computational paradigms, Physics‐Informed Neural Networks (PINNs) and the Variational Quantum Eigensolver (VQE). PINNs were employed to solve Nordgren's equation, which governs fracture width evolution, by embedding physical laws into the neural network ...
Dennis Delali Kwesi Wayo +7 more
wiley +1 more source
A dramaturgy of uncertainty: Transdisciplinary manoeuvres across forestry and theatre
People and Nature, EarlyView.Abstract The uncertainties of climate change mean that forestry adaptation strategies are often complex and contested. Research has suggested that there is an interest in the forestry sector for facilitated dialogue about uncertainty (de Pellegrin Llorente et al., 2023).
Rachel Clive +4 more
wiley +1 more source