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Recent Progress and Modern Challenges in Applied Mathematics, Modeling and Computational Science

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Cover of 'Recent Progress and Modern Challenges in Applied Mathematics, Modeling and Computational Science'

Table of Contents

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    Book Overview
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    Chapter 1 Modern Challenges and Interdisciplinary Interactions via Mathematical, Statistical, and Computational Models
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    Chapter 2 Long Term Effects of Small Random Perturbations on Dynamical Systems: Theoretical and Computational Tools
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    Chapter 3 Long Time Dynamics and Coherent States in Nonlinear Wave Equations
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    Chapter 4 About Non Linear Stabilization for Scalar Hyperbolic Problems
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    Chapter 5 Generalization of Noether’s Theorem in Modern Form to Non-variational Partial Differential Equations
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    Chapter 6 Adaptive Simulation Selection for the Discovery of the Ground State Line of Binary Alloys with a Limited Computational Budget
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    Chapter 7 Recent Developments in Spectral Element Simulations of Moving-Domain Problems
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    Chapter 8 Eight Great Reasons to Do Mathematics
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    Chapter 9 Calculation of Exposure Profiles and Sensitivities of Options under the Heston and the Heston Hull-White Models
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    Chapter 10 A Note on Independence Copula for Conditional Markov Chains
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    Chapter 11 The Construction and Properties of Assortative Configuration Graphs
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    Chapter 12 Coexistence in the Face of Uncertainty
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    Chapter 13 Computing Elliptic Curves over $$\mathbb{Q}$$ : Bad Reduction at One Prime
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    Chapter 14 Sustainability of Cooperation in Dynamic Games Played over Event Trees
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Title
Recent Progress and Modern Challenges in Applied Mathematics, Modeling and Computational Science
Published by
Springer, New York, NY, September 2017
DOI 10.1007/978-1-4939-6969-2
ISBNs
978-1-4939-6968-5, 978-1-4939-6969-2
Editors

Roderick Melnik, Roman Makarov, Jacques Belair

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 12 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 42%
Student > Master 3 25%
Researcher 2 17%
Student > Bachelor 1 8%
Student > Postgraduate 1 8%
Other 0 0%
Readers by discipline Count As %
Mathematics 4 33%
Physics and Astronomy 2 17%
Materials Science 2 17%
Earth and Planetary Sciences 1 8%
Computer Science 1 8%
Other 1 8%
Unknown 1 8%