Results 141 to 150 of about 2,473,621 (173)
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Numerical methods in vehicle system dynamics: state of the art and current developments
, 2011Robust and efficient numerical methods are an essential prerequisite for the computer-based dynamical analysis of engineering systems. In vehicle system dynamics, the methods and software tools from multibody system dynamics provide the integration ...
Martin Arnold +4 more
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, 2011
Several different problems make the study of the so called Lyapunov type inequalities of great interest, both in pure and applied mathematics. Although the original historical motivation was the study of the stability properties of the Hill equation ...
A. Cañada, S. Villegas
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Several different problems make the study of the so called Lyapunov type inequalities of great interest, both in pure and applied mathematics. Although the original historical motivation was the study of the stability properties of the Hill equation ...
A. Cañada, S. Villegas
semanticscholar +1 more source
International Journal of Biomathematics, 2019
Approximate analytical solution of the system of coupled nonlinear Ordinary Differential Equations (ODEs) of a biochemical reaction model is much relevant due to its practical significance to biochemists.
V. Dubey, Rajnesh Kumar, Devendra Kumar
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Approximate analytical solution of the system of coupled nonlinear Ordinary Differential Equations (ODEs) of a biochemical reaction model is much relevant due to its practical significance to biochemists.
V. Dubey, Rajnesh Kumar, Devendra Kumar
semanticscholar +1 more source
Analysis and numerical solutions of delay differential algebraic equations
, 2015With this thesis, we aim to lay the foundation for the solvability analysis of initial value problems (IVPs) for delay differential-algebraic equations (DDAEs).
Phi Ha
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Bayesian sampling using interacting particles
arXiv.orgBayesian sampling is an important task in statistics and machine learning. Over the past decade, many ensemble-type sampling methods have been proposed.
Shi Chen, Zhiyan Ding, Qin Li
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arXiv.org
Within the family of explainable machine-learning, we present Fredholm neural networks (Fredholm NNs), deep neural networks (DNNs) which replicate fixed point iterations for the solution of linear and nonlinear Fredholm Integral Equations (FIE) of the ...
Kyriakos Georgiou +2 more
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Within the family of explainable machine-learning, we present Fredholm neural networks (Fredholm NNs), deep neural networks (DNNs) which replicate fixed point iterations for the solution of linear and nonlinear Fredholm Integral Equations (FIE) of the ...
Kyriakos Georgiou +2 more
semanticscholar +1 more source
A meshfree approach for analysis and computational modeling of non-linear Schrödinger equation
Computational and Applied Mathematics, 2020Ram Jiwari +3 more
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Encyclopedia of Mathematical Physics
, 2006Classical, Conformal and Topological Field Theory Classical Mechanics Condensed Matter Physics and Optics Differential Geometry Dirac Operators Dynamical Systems Fluid Dynamics Functional Analysis and Variational Techniques Gauge Theory General ...
J. Françoise, G. Naber, S. Tsou
semanticscholar +1 more source
, 1997
The Newsletter will be a key element in further enhancing the value of the journal to the inverse problems community. So why not be a part of this exciting new forum by sending to our Bristol office a brief account or material suitable for inclusion ...
semanticscholar +1 more source
The Newsletter will be a key element in further enhancing the value of the journal to the inverse problems community. So why not be a part of this exciting new forum by sending to our Bristol office a brief account or material suitable for inclusion ...
semanticscholar +1 more source
Applied Mathematics and Mechanics, 2020
A. Ahmed, M. Khan, J. Ahmed, A. Hafeez
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A. Ahmed, M. Khan, J. Ahmed, A. Hafeez
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