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Analysis and forecast of COVID-19 spreading in China, Italy and France
Analysis and forecast of COVID-19 spreading in China, Italy and France
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Analysis and forecast of COVID-19 spreading in China, Italy and France

Fanelli, Duccio ; Piazza, Francesco

Chaos, solitons and fractals, 2020-05, Vol.134, p.109761-109761, Article 109761 [Periódico revisado por pares]

England: Elsevier Ltd

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Computing Qualitatively Correct Approximations of Balance Laws: Exponential-Fit, Well-Balanced and Asymptotic-Preserving
Computing Qualitatively Correct Approximations of Balance Laws: Exponential-Fit, Well-Balanced and Asymptotic-Preserving
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Computing Qualitatively Correct Approximations of Balance Laws: Exponential-Fit, Well-Balanced and Asymptotic-Preserving

Gosse, Laurent

Milano: Springer Milan 2013

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3
Multiscale Modeling Meets Machine Learning: What Can We Learn?
Multiscale Modeling Meets Machine Learning: What Can We Learn?
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Multiscale Modeling Meets Machine Learning: What Can We Learn?

Peng, Grace C. Y. ; Alber, Mark ; Buganza Tepole, Adrian ; Cannon, William R. ; De, Suvranu ; Dura-Bernal, Savador ; Garikipati, Krishna ; Karniadakis, George ; Lytton, William W. ; Perdikaris, Paris ; Petzold, Linda ; Kuhl, Ellen

Archives of computational methods in engineering, 2021-05, Vol.28 (3), p.1017-1037 [Periódico revisado por pares]

Dordrecht: Springer Netherlands

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4
A Comparative Study of Recent Non-traditional Methods for Mechanical Design Optimization
A Comparative Study of Recent Non-traditional Methods for Mechanical Design Optimization
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A Comparative Study of Recent Non-traditional Methods for Mechanical Design Optimization

Yildiz, Ali Riza ; Abderazek, Hammoudi ; Mirjalili, Seyedali

Archives of computational methods in engineering, 2020-09, Vol.27 (4), p.1031-1048 [Periódico revisado por pares]

Dordrecht: Springer Netherlands

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5
A Manifold Learning Approach to Data-Driven Computational Elasticity and Inelasticity
A Manifold Learning Approach to Data-Driven Computational Elasticity and Inelasticity
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A Manifold Learning Approach to Data-Driven Computational Elasticity and Inelasticity

Ibañez, Rubén ; Abisset-Chavanne, Emmanuelle ; Aguado, Jose Vicente ; Gonzalez, David ; Cueto, Elias ; Chinesta, Francisco

Archives of computational methods in engineering, 2018-01, Vol.25 (1), p.47-57 [Periódico revisado por pares]

Dordrecht: Springer Netherlands

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6
A robust low‐dissipation AUSM‐family scheme for numerical shock stability on unstructured grids
A robust low‐dissipation AUSM‐family scheme for numerical shock stability on unstructured grids
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A robust low‐dissipation AUSM‐family scheme for numerical shock stability on unstructured grids

Zhang, Fan ; Liu, Jun ; Chen, Biaosong ; Zhong, Wanxie

International journal for numerical methods in fluids, 2017-05, Vol.84 (3), p.135-151 [Periódico revisado por pares]

Bognor Regis: Wiley Subscription Services, Inc

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7
A Survey of Deep Learning and Its Applications: A New Paradigm to Machine Learning
A Survey of Deep Learning and Its Applications: A New Paradigm to Machine Learning
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A Survey of Deep Learning and Its Applications: A New Paradigm to Machine Learning

Dargan, Shaveta ; Kumar, Munish ; Ayyagari, Maruthi Rohit ; Kumar, Gulshan

Archives of computational methods in engineering, 2020-09, Vol.27 (4), p.1071-1092 [Periódico revisado por pares]

Dordrecht: Springer Netherlands

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8
Numerical integration of homogeneous functions on convex and nonconvex polygons and polyhedra
Numerical integration of homogeneous functions on convex and nonconvex polygons and polyhedra
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Numerical integration of homogeneous functions on convex and nonconvex polygons and polyhedra

Chin, Eric B. ; Lasserre, Jean B. ; Sukumar, N.

Computational mechanics, 2015-12, Vol.56 (6), p.967-981 [Periódico revisado por pares]

Berlin/Heidelberg: Springer Berlin Heidelberg

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9
A Selection of Benchmark Problems in Solid Mechanics and Applied Mathematics
A Selection of Benchmark Problems in Solid Mechanics and Applied Mathematics
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A Selection of Benchmark Problems in Solid Mechanics and Applied Mathematics

Schröder, Jörg ; Wick, Thomas ; Reese, Stefanie ; Wriggers, Peter ; Müller, Ralf ; Kollmannsberger, Stefan ; Kästner, Markus ; Schwarz, Alexander ; Igelbüscher, Maximilian ; Viebahn, Nils ; Bayat, Hamid Reza ; Wulfinghoff, Stephan ; Mang, Katrin ; Rank, Ernst ; Bog, Tino ; D’Angella, Davide ; Elhaddad, Mohamed ; Hennig, Paul ; Düster, Alexander ; Garhuom, Wadhah ; Hubrich, Simeon ; Walloth, Mirjam ; Wollner, Winnifried ; Kuhn, Charlotte ; Heister, Timo

Archives of computational methods in engineering, 2021-03, Vol.28 (2), p.713-751 [Periódico revisado por pares]

Dordrecht: Springer Netherlands

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10
Advances in Iterative Methods for Nonlinear Equations
Advances in Iterative Methods for Nonlinear Equations
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Advances in Iterative Methods for Nonlinear Equations

Amat, Sergio ; Busquier, Sonia Amat, Sergio ; Busquier, Sonia

Cham: Springer International Publishing AG 2016

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