Results 11 to 20 of about 3,812 (235)
Singular nonlinear initial-value problems (IVPs) in first-order and second-order partial differential equations (PDEs) arising in fluid mechanics are semianalytically solved. To achieve this, the modified decomposition method (MDM) is used in conjunction
Nemat Dalir
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Nonlinear first order PDEs reducible to autonomous form polynomially homogeneous in the derivatives [PDF]
23 pages, no ...
Gorgone, Matteo, OLIVERI, Francesco
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Approximate Ad Hoc Parametric Solutions for Nonlinear First‐Order PDEs Governing Two‐Dimensional Steady Vector Fields [PDF]
Through a suitable ad hoc assumption, a nonlinear PDE governing a three‐dimensional weak, irrotational, steady vector field is reduced to a system of two nonlinear ODEs: the first of which corresponds to the two‐dimensional case, while the second involves also the third field component. By using several analytical tools as well as linear approximations
M. Markakis
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The upper–lower solution method for the coupled system of first order nonlinear PDEs
Abstract This paper is concerned with a coupled system of first order nonlinear partial differential equations. This system is, but not limited in, the extended case of the general blood–tissue exchange model (BTEX). We use the solutions of a coupled system of first order ordinary differential equations to construct a pair of ordered lower and upper ...
Guo-Chin Jau, Yu-Hsien Chang
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This paper proposes an Adaptive-Growth Randomized Neural Network (AG-RaNN) method for computing multivalued solutions of nonlinear first-order PDEs with hyperbolic characteristics, including quasilinear hyperbolic balance laws and Hamilton--Jacobi equations.
Haoning Dang, Shi Jin, Fei Wang
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ABSTRACTWe present a model reduction approach for the real‐time solution of time‐dependent nonlinear partial differential equations (PDEs) with parametric dependencies. A major challenge in constructing efficient and accurate reduced‐order models for nonlinear PDEs is the efficient treatment of nonlinear terms.
N. Nguyen
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Efficient and accurate nonlinear model reduction via first-order empirical interpolation [PDF]
We present a model reduction approach that extends the original empirical interpolation method to enable accurate and efficient reduced basis approximation of parametrized nonlinear partial differential equations (PDEs).
N. Nguyen, J. Peraire
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First-Order Conditions for the Optimal Control of Learning-Informed Nonsmooth PDEs [PDF]
In this paper we study the optimal control of a class of semilinear elliptic partial differential equations which have nonlinear constituents that are only accessible by data and are approximated by nonsmooth ReLU neural networks.
Guozhi Dong +3 more
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Adomian decomposition method for first order PDEs with unprescribed data
In this paper we like to explore the full power of Adomian decomposition method (ADM), specially its symbolic capability. We will demonstrate the standard ADM and ADM with integration factor to compute explicit closed form solutions of first order scalar
T. Lu, Wei Zheng
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This paper illustrates the successful implementation of the method of variation of parameters in combination with the method of characteristics and other techniques to obtain exact solutions for a wide range of partial differential equations.
Noureddine Mhadhbi +2 more
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