Results 11 to 20 of about 856 (206)
Image compression with anisotropic diffusion [PDF]
Compression is an important field of digital image processing where well-engineered methods with high performance exist. Partial differential equations (PDEs), however, have not much been explored in this context so far. In our paper we introduce a novel
Welk, Martin +19 more
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Approximation of Bayesian inverse problems for PDEs [PDF]
Inverse problems are often ill posed, with solutions that depend sensitively on data. In any numerical approach to the solution of such problems, regularization of some form is needed to counteract the resulting instability.
Dashti, Massoumeh +7 more
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An introduction to variational methods [PDF]
In this talk, we will introduce the variational approach to the study of equations. To get started, we will review the spectral theory of symmetric real matrices and the min-max principle for eigenvalues.
Galant, Damien
core
Adaptive non-intrusive reconstruction of solutions to high-dimensional parametric PDEs
Numerical methods for random parametric PDEs can greatly benefit from adaptive refinement schemes, in particular when functional approximations are computed as in stochastic Galerkin and stochastic collocations methods.
Trunschke, Philipp +7 more
core +1 more source
Variational methods for PDEs aplied to stochastic partial differential equations
We combine white noise analysis and variational methods for partial differential equations to study stochastic partial differential equations. The equations are studied in the Kondratiev spaces of stochastic distributions. A new estimate on the Wick product in these spaces is shown.
openaire +3 more sources
Analytical simulation of the nonlinear Caputo fractional equations
Partial differential equations (PDEs), particularly those involving fractional derivatives, have garnered considerable attention due to their ability to model complex systems with memory and hereditary properties.
Ali Ahadi +3 more
doaj +1 more source
Variational Bayesian approximation of inverse problems using sparse precision matrices
Inverse problems involving partial differential equations (PDEs) are widely used in science and engineering. Although such problems are generally ill-posed, different regularisation approaches have been developed to ameliorate this problem. Among them is
Kazlauskaite, Ieva +4 more
core +1 more source
Newton type methods for solving a Hasegawa–Mima plasma model [PDF]
In Karakazian and Nassif (2019), the non-linear space-time Hasegawa–Mima plasma equation is formulated as a coupled system of two linear PDEs, a solution of which is a pair (u,w), with w=(I−Δ)u.
Nabil R. Nassif +3 more
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Bellows compensators are critical components in pipeline systems, designed to absorb thermal expansions, vibrations, and pressure reflections. Ensuring their operational reliability requires accurate prediction of the stress–strain state (SSS) and ...
Yerzhan Y. Sarybayev +6 more
doaj +1 more source
Terminal groups on Cu porphyrins modulate the electronic states of single‐atom Cu centers through a long‐range electronic effect, without altering the Cu coordination geometry. Meanwhile, a multi‐descriptor framework is established that incorporates porphyrin regulation, hybrid catalyst properties, and CO2 photoreduction capabilities.
Yi Zhang +13 more
wiley +1 more source

