Results 151 to 160 of about 2,057 (240)
New Drain Spacing Formulas Using the Variational Iteration Method
ABSTRACT In this study, the drain spacing is computed using the variational iteration method (VIM) to the linearized Boussinesq equation. By applying at most two iterations of the VIM method under three different initial condition scenarios, three equations for drain spacing calculation were derived. These equations predict values of drain spacing that
George Kargas +2 more
wiley +1 more source
Multilevel Monte Carlo for Bayesian Inverse Problems [PDF]
Introduction In recent years, various methods have been developed for solving parametric operator equations, focusing on the estimation of parameters given measurements of the parametric solution, subject to a stochastic observation error model.
Gantner, Robert N. +2 more
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Latent Neural Operator for Solving Forward and Inverse PDE Problems
Neural operators effectively solve PDE problems from data without knowing the explicit equations, which learn the map from the input sequences of observed samples to the predicted values. Most existing works build the model in the original geometric space, leading to high computational costs when the number of sample points is large.
Tian Wang 0006, Chuang Wang
openaire +3 more sources
ABSTRACT The main purpose of this paper is to design a fully discrete local discontinuous Galerkin (LDG) scheme for the generalized Benjamin–Ono equation. First, we prove the L2$$ {L}^2 $$‐stability for the proposed semi‐discrete LDG scheme and obtained a suboptimal order of convergence for power nonlinear flux.
Mukul Dwivedi, Tanmay Sarkar
wiley +1 more source
ABSTRACT While recent Anderson acceleration (AA) convergence theory [Pollock et al., IMA Num. An., 2021] requires that the AA optimization norm match the Hilbert space norm associated with the fixed point operator, in implementations the ℓ2$$ {\ell}^2 $$ norm is the most common choice. So far there is little research done regarding this discrepancy. To
Elizabeth Hawkins, Leo G. Rebholz
wiley +1 more source
Coexistence, crossover and extirpation in coalescent communities and ecotones
When two ecological communities come into contact, the strength of their mixing determines whether species coexist, extirpate, or extend their ranges. We present analytical formulas and simulations describing these transitions. Specifically, we derive abundance shifts upon community coalescence, identify the critical mixing strength leading to first ...
Martin Heidelman, Dervis Can Vural
wiley +1 more source
Abstract Wave‐induced transport in the coastal zone can play an important role in the distribution of nutrients, plankton, and pollutants including plastic litter. The effect of the water depth, unsteadiness of the wave field, and the rotation of the Earth on the wave‐induced drift is investigated in this paper. We derive a model for the time‐dependent
J. Mol +4 more
wiley +1 more source
ABSTRACT A conjugate operator pair is introduced for wave‐equation Kirchhoff modelling and migration, formulated as time‐space partial differential equations. The operator pair allows for iterative linearized waveform inversion and supports the reconstruction of angle‐dependent reflectivity images. The proposed forward modelling operator represents the
Wei Zhang, Mauricio D. Sacchi
wiley +1 more source
An Algebraic Study of Parametric Stokes Phenomena
ABSTRACT We investigate geometric aspects of co‐equational parametric resurgence, by studying physical problems whose formal asymptotic solutions give rise to Borel transforms lying on an algebraic curve. This perspective allows us to elucidate concepts unique to parametric resurgence such as singularity structures, (virtual) turning points, and the ...
Inês Aniceto, Samuel Crew
wiley +1 more source
Bayesian inverse problems in PDEs [PDF]
A significant challenge facing mathematical scientists is the development of a coherent mathematical and algorithmic framework enabling researchers to blend complex mathematical models with the (often vast) data sets which are now routinely available in ...
Stuart, A. M.
core

