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Published in 2025 at "Mathematical Methods in the Applied Sciences"
DOI: 10.1002/mma.10663
Abstract: The paper addresses an initial boundary value problem for a partial differential–algebraic equation involving a parameter. An integral condition with respect to the time derivative of the unknown function is provided as an additional condition…
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Keywords:
problem;
boundary value;
value problem;
initial boundary ... See more keywords
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Published in 2025 at "Mathematical Methods in the Applied Sciences"
DOI: 10.1002/mma.10675
Abstract: This paper focuses on the dynamics of a second‐order partial differential equation within the space L2$$ {L}^2 $$ described by ∂2ϑ(x,t)∂t2+a∂ϑ(x,t)∂t+bϑ(x,t)=c∂2ϑ(x,t)∂x2+h(x,t),a,b,c>0.$$ \frac{\partial^2\vartheta \left(x,t\right)}{\partial {t}^2}+a\frac{\partial \vartheta \left(x,t\right)}{\partial t}+ b\vartheta \left(x,t\right)=c\frac{\partial^2\vartheta \left(x,t\right)}{\partial {x}^2}+h\left(x,t\right),a,b,c>0. $$ Under suitable conditions…
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Keywords:
order partial;
space;
partial vartheta;
left right ... See more keywords
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Published in 2021 at "Mathematical Methods in the Applied Sciences"
DOI: 10.1002/mma.7224
Abstract: In this paper, we establish a central limit theorem (CLT) and the moderate deviation principles (MDP) for a class of semilinear stochastic partial differential equations driven by multiplicative noise on a bounded domain. The main…
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Keywords:
partial differential;
semilinear stochastic;
central limit;
stochastic partial ... See more keywords
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Published in 2025 at "International Journal for Numerical Methods in Engineering"
DOI: 10.1002/nme.7665
Abstract: This paper presents a regularization technique using discovered partial differential equations (PDEs) with an example of a surrogate model of crack propagation. Regularization techniques are so essential in machine learning to improve generalization performance. Recently,…
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Keywords:
crack propagation;
differential equations;
propagation;
loss ... See more keywords
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Published in 2020 at "Results in Mathematics"
DOI: 10.1007/s00025-020-01324-y
Abstract: The concept of moment differentiation is extended to the class of moment summable functions, giving rise to moment differential properties. The main result leans on accurate upper estimates for the integral representation of the moment…
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Keywords:
moment;
partial differential;
formal solutions;
summability formal ... See more keywords
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Published in 2024 at "Journal of Fourier Analysis and Applications"
DOI: 10.1007/s00041-025-10159-6
Abstract: We study the effect of Gaussian perturbations on a class of model hyperbolic partial differential equations with double symplectic characteristics in low spatial dimensions. The coefficients of our partial differential operators contain harmonic oscillators in…
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Keywords:
equations symplectic;
symplectic characteristics;
hyperbolic equations;
stochastic hyperbolic ... See more keywords
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Published in 2019 at "Mathematische Annalen"
DOI: 10.1007/s00208-019-01864-x
Abstract: The paper discusses a holomorphic nonlinear singular partial differential equation $$(t \partial _t)^mu=F(t,x,\{(t \partial _t)^j \partial _x^{\alpha }u \}_{j+\alpha \le m, j
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Keywords:
nonlinear totally;
maillet type;
partial differential;
totally characteristic ... See more keywords
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Published in 2019 at "Engineering with Computers"
DOI: 10.1007/s00366-019-00796-z
Abstract: In this paper, numerical solution of nonlinear two-dimensional parabolic partial differential equations with initial and Dirichlet boundary conditions is considered. The time derivative is approximated using finite difference scheme whereas space derivatives are approximated using…
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Keywords:
partial differential;
numerical solution;
solution nonlinear;
method ... See more keywords
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Published in 2019 at "Archive for History of Exact Sciences"
DOI: 10.1007/s00407-020-00255-y
Abstract: This article describes the emergence of formal methods in theory of partial differential equations (PDE) in the French school of mathematics through Janet’s work in the period 1913–1930. In his thesis and in a series…
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Keywords:
partial differential;
algorithms systems;
janet algorithms;
differential equations ... See more keywords
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Published in 2024 at "Computational Mechanics"
DOI: 10.1007/s00466-024-02559-0
Abstract: Physics-informed machine learning (PIML) has emerged as a promising alternative to conventional numerical methods for solving partial differential equations (PDEs). PIML models are increasingly built via deep neural networks (NNs) whose architecture and training process…
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Keywords:
gaussian process;
differential equations;
partial differential;
process framework ... See more keywords
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Published in 2019 at "Stochastic Environmental Research and Risk Assessment"
DOI: 10.1007/s00477-019-01709-8
Abstract: This paper proposes a new collocation method for estimating parameters of a partial differential equation (PDE), which uses Gaussian process (GP) as a basis function and is termed as Gaussian process for partial differential equation…
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Keywords:
partial differential;
estimating parameters;
method;
equation ... See more keywords