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Computational Science – ICCS 2020

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Cover of 'Computational Science – ICCS 2020'

Table of Contents

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    Book Overview
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    Chapter 1 A High-Performance Implementation of Bayesian Matrix Factorization with Limited Communication
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    Chapter 2 Early Adaptive Evaluation Scheme for Data-Driven Calibration in Forest Fire Spread Prediction
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    Chapter 3 Strategic Use of Data Assimilation for Dynamic Data-Driven Simulation
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    Chapter 4 PDPNN: Modeling User Personal Dynamic Preference for Next Point-of-Interest Recommendation
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    Chapter 5 Cyber Attribution from Topological Patterns
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    Chapter 6 Applications of Data Assimilation Methods on a Coupled Dual Porosity Stokes Model
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    Chapter 7 Spatiotemporal Filtering Pipeline for Efficient Social Networks Data Processing Algorithms
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    Chapter 8 Normal Grouping Density Separation (NGDS): A Novel Object-Driven Indoor Point Cloud Partition Method
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    Chapter 9 Learning Hidden States in a Chaotic System: A Physics-Informed Echo State Network Approach
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    Chapter 10 Learning Ergodic Averages in Chaotic Systems
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    Chapter 11 Supermodeling: The Next Level of Abstraction in the Use of Data Assimilation
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    Chapter 12 A New Multilayer Network Construction via Tensor Learning
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    Chapter 13 Neural Assimilation
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    Chapter 14 A Machine-Learning-Based Importance Sampling Method to Compute Rare Event Probabilities
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    Chapter 15 Node Classification in Complex Social Graphs via Knowledge-Graph Embeddings and Convolutional Neural Network
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    Chapter 16 Accelerated Gaussian Convolution in a Data Assimilation Scenario
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    Chapter 17 On the Complementary Role of Data Assimilation and Machine Learning: An Example Derived from Air Quality Analysis
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    Chapter 18 Recursive Updates of Wildfire Perimeters Using Barrier Points and Ensemble Kalman Filtering
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    Chapter 19 Finding Points of Importance for Radial Basis Function Approximation of Large Scattered Data
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    Chapter 20 High Accuracy Terrain Reconstruction from Point Clouds Using Implicit Deformable Model
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    Chapter 21 Solving Non-linear Elasticity Problems by a WLS High Order Continuation
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    Chapter 22 Advanced Radial Basis Functions Mesh Morphing for High Fidelity Fluid-Structure Interaction with Known Movement of the Walls: Simulation of an Aortic Valve
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    Chapter 23 Radial Basis Functions Mesh Morphing
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    Chapter 24 Radial Basis Function Approximation Optimal Shape Parameters Estimation
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    Chapter 25 Projective Integration for Moment Models of the BGK Equation
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    Chapter 26 Open Boundary Modeling in Molecular Dynamics with Machine Learning
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    Chapter 27 Microtubule Biomechanics and the Effect of Degradation of Elastic Moduli
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    Chapter 28 Formation of Morphogenetic Patterns in Cellular Automata
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    Chapter 29 Multilevel Monte Carlo with Improved Correlation for Kinetic Equations in the Diffusive Scaling
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    Chapter 30 Development and Application of the Statistically Similar Representative Volume Element for Numerical Modelling of Multiphase Materials
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    Chapter 31 A Heterogeneous Multi-scale Model for Blood Flow
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    Chapter 32 Towards Accurate Simulation of Global Challenges on Data Centers Infrastructures via Coupling of Models and Data Sources
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    Chapter 33 Easing Multiscale Model Design and Coupling with MUSCLE 3
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    Chapter 34 Simulations of Quantum Finite Automata
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    Chapter 35 "Equation missing" : A Cross-Platform Programming Framework for Quantum-Accelerated Scientific Computing
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    Chapter 36 Generalized Quantum Deutsch-Jozsa Algorithm
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    Chapter 37 Revisiting Old Combinatorial Beasts in the Quantum Age: Quantum Annealing Versus Maximal Matching
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    Chapter 38 A Quantum Annealing Algorithm for Finding Pure Nash Equilibria in Graphical Games
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    Chapter 39 Hybrid Quantum Annealing Heuristic Method for Solving Job Shop Scheduling Problem
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    Chapter 40 Foundations for Workflow Application Scheduling on D-Wave System
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    Chapter 41 A Hybrid Solution Method for the Multi-Service Location Set Covering Problem
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    Chapter 42 New Hybrid Quantum Annealing Algorithms for Solving Vehicle Routing Problem
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    Chapter 43 Multi-agent Reinforcement Learning Using Simulated Quantum Annealing
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    Chapter 44 Quantum Hopfield Neural Networks: A New Approach and Its Storage Capacity
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    Chapter 45 A Variational Algorithm for Quantum Neural Networks
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    Chapter 46 Imperfect Distributed Quantum Phase Estimation
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    Chapter 47 Optimal Representation of Quantum Channels
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    Chapter 48 Perturbation of the Numerical Range of Unitary Matrices
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    Chapter 49 Design of Short Codes for Quantum Channels with Asymmetric Pauli Errors
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    Chapter 50 Simulation Methodology for Electron Transfer in CMOS Quantum Dots
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Title
Computational Science – ICCS 2020
Published by
Springer International Publishing, January 2020
DOI 10.1007/978-3-030-50433-5
ISBNs
978-3-03-050432-8, 978-3-03-050433-5
Editors

Valeria V. Krzhizhanovskaya, Gábor Závodszky, Michael H. Lees, Jack J. Dongarra, Peter M. A. Sloot, Sérgio Brissos, João Teixeira

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