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Machine Learning Approximation Algorithms for High-Dimensional Fully Nonlinear Partial Differential Equations and Second-order Backward Stochastic Differential Equations
Machine Learning Approximation Algorithms for High-Dimensional Fully Nonlinear Partial Differential Equations and Second-order Backward Stochastic Differential Equations
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Machine Learning Approximation Algorithms for High-Dimensional Fully Nonlinear Partial Differential Equations and Second-order Backward Stochastic Differential Equations

Beck, Christian ; E, Weinan ; Jentzen, Arnulf

Journal of nonlinear science, 2019-08, Vol.29 (4), p.1563-1619 [Periódico revisado por pares]

New York: Springer US

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2
Basic Reproduction Ratios for Periodic Abstract Functional Differential Equations (with Application to a Spatial Model for Lyme Disease)
Basic Reproduction Ratios for Periodic Abstract Functional Differential Equations (with Application to a Spatial Model for Lyme Disease)
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Basic Reproduction Ratios for Periodic Abstract Functional Differential Equations (with Application to a Spatial Model for Lyme Disease)

Liang, Xing ; Zhang, Lei ; Zhao, Xiao-Qiang

Journal of dynamics and differential equations, 2019-09, Vol.31 (3), p.1247-1278 [Periódico revisado por pares]

New York: Springer US

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3
A review of inflammatory mechanism in airway diseases
A review of inflammatory mechanism in airway diseases
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A review of inflammatory mechanism in airway diseases

Aghasafari, Parya ; George, Uduak ; Pidaparti, Ramana

Inflammation research, 2019-01, Vol.68 (1), p.59-74 [Periódico revisado por pares]

Cham: Springer International Publishing

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4
Deep Learning-Based Numerical Methods for High-Dimensional Parabolic Partial Differential Equations and Backward Stochastic Differential Equations
Deep Learning-Based Numerical Methods for High-Dimensional Parabolic Partial Differential Equations and Backward Stochastic Differential Equations
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Deep Learning-Based Numerical Methods for High-Dimensional Parabolic Partial Differential Equations and Backward Stochastic Differential Equations

E, Weinan ; Han, Jiequn ; Jentzen, Arnulf

Communications in mathematics and statistics, 2017-12, Vol.5 (4), p.349-380 [Periódico revisado por pares]

Berlin/Heidelberg: Springer Berlin Heidelberg

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5
Quantum Spectral Methods for Differential Equations
Quantum Spectral Methods for Differential Equations
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Quantum Spectral Methods for Differential Equations

Childs, Andrew M. ; Liu, Jin-Peng

Communications in mathematical physics, 2020-04, Vol.375 (2), p.1427-1457 [Periódico revisado por pares]

Berlin/Heidelberg: Springer Berlin Heidelberg

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6
Tensor Networks and Hierarchical Tensors for the Solution of High-Dimensional Partial Differential Equations
Tensor Networks and Hierarchical Tensors for the Solution of High-Dimensional Partial Differential Equations
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Tensor Networks and Hierarchical Tensors for the Solution of High-Dimensional Partial Differential Equations

Bachmayr, Markus ; Schneider, Reinhold ; Uschmajew, André

Foundations of computational mathematics, 2016-12, Vol.16 (6), p.1423-1472 [Periódico revisado por pares]

New York: Springer US

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7
Validated Numerical Approximation of Stable Manifolds for Parabolic Partial Differential Equations
Validated Numerical Approximation of Stable Manifolds for Parabolic Partial Differential Equations
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Validated Numerical Approximation of Stable Manifolds for Parabolic Partial Differential Equations

Berg, Jan Bouwe van den ; Jaquette, Jonathan ; James, J. D. Mireles

Journal of dynamics and differential equations, 2023-12, Vol.35 (4), p.3589-3649 [Periódico revisado por pares]

New York: Springer US

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8
On the Relation Between Optimal Transport and Schrödinger Bridges: A Stochastic Control Viewpoint
On the Relation Between Optimal Transport and Schrödinger Bridges: A Stochastic Control Viewpoint
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On the Relation Between Optimal Transport and Schrödinger Bridges: A Stochastic Control Viewpoint

Chen, Yongxin ; Georgiou, Tryphon T. ; Pavon, Michele

Journal of optimization theory and applications, 2016-05, Vol.169 (2), p.671-691 [Periódico revisado por pares]

New York: Springer US

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9
Exploring the impact of magnetic dipole on the radiative nanofluid flow over a stretching sheet by means of KKL model
Exploring the impact of magnetic dipole on the radiative nanofluid flow over a stretching sheet by means of KKL model
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Exploring the impact of magnetic dipole on the radiative nanofluid flow over a stretching sheet by means of KKL model

Naveen Kumar, R ; Suresha, S ; Gowda, R J Punith ; Megalamani, Savita B ; Prasannakumara, B C

Pramāṇa, 2021-12, Vol.95 (4), Article 180 [Periódico revisado por pares]

New Delhi: Springer India

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10
Dynamics and Control at Feedback Vertex Sets. I: Informative and Determining Nodes in Regulatory Networks
Dynamics and Control at Feedback Vertex Sets. I: Informative and Determining Nodes in Regulatory Networks
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Dynamics and Control at Feedback Vertex Sets. I: Informative and Determining Nodes in Regulatory Networks

Fiedler, Bernold ; Mochizuki, Atsushi ; Kurosawa, Gen ; Saito, Daisuke

Journal of dynamics and differential equations, 2013-09, Vol.25 (3), p.563-604 [Periódico revisado por pares]

Boston: Springer US

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