Results 31 to 40 of about 36,515 (306)
On integrable conservation laws [PDF]
, 2014 We study normal forms of scalar integrable dispersive (non necessarily Hamiltonian) conservation laws via the Dubrovin-Zhang perturbative scheme. Our computations support the conjecture that such normal forms are parametrised by infinitely many arbitrary
Moro, Antonio +2 more
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Dynamic differences between DNA damage repair responses in primary tumors and cell lines
Translational Oncology, 2021 The study of DNA damage repair response (DDR) in prostate cancer is restricted by the limited number of prostate cancer cell lines and lack of surrogates for heterogeneity in clinical samples.
Collin Gilbreath +11 more
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پژوهشهای ریاضی, 2021 In this paper, we consider a generalized form of nonlinear Radhakrishnan-Kundu-Lakshmanan equation. The generalized exponential rational function method has been used to obtain some novel exact optical solutions.
Behzad Ghanbari
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Plasma desmosine for prediction of outcomes after acute myocardial infarction
Frontiers in Cardiovascular Medicine, 2022 BackgroundElastin degradation is implicated in the pathology of vulnerable plaque. Recent studies show promising results for plasma desmosine (pDES), an elastin-specific degradation product, as a marker of cardiovascular disease (CVD) outcomes.
Kashan Ali +9 more
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KoopmanLab: Machine learning for solving complex physics equations
APL Machine Learning, 2023 Numerous physics theories are rooted in partial differential equations (PDEs). However, the increasingly intricate physics equations, especially those that lack analytic solutions or closed forms, have impeded the further development of physics ...
Wei Xiong +5 more
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Linear-implicit strong schemes for Itô-Galkerin approximations of stochastic PDEs [PDF]
, 2010 Linear-implicit versions of strong Taylor numerical schemes for finite dimensional Itô stochastic differential equations (SDEs) are shown to have the same order as the original scheme.
Shott, Stephen, Kloeden, Peter E.
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Solve High-Dimensional Reflected Partial Differential Equations by Neural Network Method
Mathematical and Computational Applications, 2023 Reflected partial differential equations (PDEs) have important applications in financial mathematics, stochastic control, physics, and engineering. This paper aims to present a numerical method for solving high-dimensional reflected PDEs.
Xiaowen Shi +3 more
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Quasi-periodic solutions of Hamiltonian PDEs [PDF]
, 2011 This paper is an overview of recent existence results and techniques about KAM theory for ...
Massimiliano Berti +2 more
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Boundary Value Problems, 2020 In this paper, we prove the global existence and exponential energy decay results of a coupled Lamé system with distributed time delay, nonlinear source term, and without memory term by using the Faedo–Galerkin method.
Salah Boulaaras, Nadjat Doudi
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