Results 161 to 170 of about 4,672 (202)
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1984
Galerkin methods have been used to solve problems in structural mechanics, dynamics, fluid flow, hydrodynamic stability, magnetohydrodynamics, heat and mass transfer, acoustics, microwave theory, neutron transport, etc. Problems governed by ordinary differential equations, partial differential equations, and integral equations have been investigated ...
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Galerkin methods have been used to solve problems in structural mechanics, dynamics, fluid flow, hydrodynamic stability, magnetohydrodynamics, heat and mass transfer, acoustics, microwave theory, neutron transport, etc. Problems governed by ordinary differential equations, partial differential equations, and integral equations have been investigated ...
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2018
As we noted earlier, spectral bases are infinitely differentiable, but have global support. On the other hand, basis functions used in finite difference or finite element methods have small compact support, but have poor differentiability properties. Wavelet bases seem to combine the advantages of both spectral (discussed in Sect.
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As we noted earlier, spectral bases are infinitely differentiable, but have global support. On the other hand, basis functions used in finite difference or finite element methods have small compact support, but have poor differentiability properties. Wavelet bases seem to combine the advantages of both spectral (discussed in Sect.
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2015
Chapter 11 considered spectral expansions of square-integrable random variables, random vectors and random fields of the form $$\displaystyle{U =\sum _{k\in \mathbb{N}_{0}}u_{k}\varPsi _{k},}$$ where \(U \in L^{2}(\varTheta,\mu;\mathcal{U})\), \(\mathcal{U}\) is a Hilbert space in which the corresponding deterministic variables/vectors/fields ...
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Chapter 11 considered spectral expansions of square-integrable random variables, random vectors and random fields of the form $$\displaystyle{U =\sum _{k\in \mathbb{N}_{0}}u_{k}\varPsi _{k},}$$ where \(U \in L^{2}(\varTheta,\mu;\mathcal{U})\), \(\mathcal{U}\) is a Hilbert space in which the corresponding deterministic variables/vectors/fields ...
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2018
The Galerkin method is a very general framework of methods which is very robust. The idea is as follows. Starting from a variational problem set in an infinite dimensional space, a sequence of finite dimensional approximation spaces is defined. The corresponding finite dimensional approximated problems are then solved, which is usually easier to do ...
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The Galerkin method is a very general framework of methods which is very robust. The idea is as follows. Starting from a variational problem set in an infinite dimensional space, a sequence of finite dimensional approximation spaces is defined. The corresponding finite dimensional approximated problems are then solved, which is usually easier to do ...
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A contact-electro-catalytic cathode recycling method for spent lithium-ion batteries
Nature Energy, 2023, Andy Berbille, Wei Tang
exaly
A New Method of Predicting US and State-Level Cancer Mortality Counts for the Current Calendar Year
Ca-A Cancer Journal for Clinicians, 2004Ahmedin Jemal Dvm, Eric J Feuer
exaly
Multiparametric prostate magnetic resonance imaging in the evaluation of prostate cancer
Ca-A Cancer Journal for Clinicians, 2016Baris Turkbey +2 more
exaly