Lecture Notes in Computer Science - Computational Science – ICCS 2020
Latest Publications

TOTAL DOCUMENTS

56

(FIVE YEARS 56)

H-INDEX

2

(FIVE YEARS 2)

Published By Springer International Publishing

9783030504359, 9783030504366

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

An Expanded Mixed Finite Element Method for Space Fractional Darcy Flow in Porous Media

Lecture Notes in Computer Science - Computational Science – ICCS 2020 ◽

10.1007/978-3-030-50436-6_15 ◽

2020 ◽

pp. 205-216

Author(s):

Huangxin Chen ◽

Shuyu Sun

Keyword(s):

Finite Element Method ◽

Finite Element ◽

Porous Media ◽

Mixed Finite Element ◽

Mixed Finite Element Method ◽

Flow In Porous Media ◽

Expanded Mixed Finite Element ◽

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Sensitivity Analysis of Soil Parameters in Crop Model Supported with High-Throughput Computing

Lecture Notes in Computer Science - Computational Science – ICCS 2020 ◽

10.1007/978-3-030-50436-6_54 ◽

2020 ◽

pp. 731-741

Author(s):

Mikhail Gasanov ◽

Anna Petrovskaia ◽

Artyom Nikitin ◽

Sergey Matveev ◽

Polina Tregubova ◽

...

Keyword(s):

Sensitivity Analysis ◽

High Throughput ◽

Soil Parameters ◽

High Throughput Computing

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Decoupled and Energy Stable Time-Marching Scheme for the Interfacial Flow with Soluble Surfactants

Lecture Notes in Computer Science - Computational Science – ICCS 2020 ◽

10.1007/978-3-030-50436-6_1 ◽

2020 ◽

pp. 3-17

Author(s):

Guangpu Zhu ◽

Aifen Li

Keyword(s):

Interfacial Flow ◽

Time Marching ◽

Soluble Surfactants ◽

Energy Stable ◽

Marching Scheme

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Distributions of a General Reduced-Order Dependence Measure and Conditional Independence Testing

Lecture Notes in Computer Science - Computational Science – ICCS 2020 ◽

10.1007/978-3-030-50436-6_51 ◽

2020 ◽

pp. 692-706 ◽

Author(s):

Mariusz Kubkowski ◽

Małgorzata Łazȩcka ◽

Jan Mielniczuk

Keyword(s):

Conditional Independence ◽

Reduced Order ◽

Order Dependence ◽

Dependence Measure ◽

Independence Testing

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Wind Field Parallelization Based on Python Multiprocessing to Reduce Forest Fire Propagation Prediction Uncertainty

Lecture Notes in Computer Science - Computational Science – ICCS 2020 ◽

10.1007/978-3-030-50436-6_41 ◽

2020 ◽

pp. 550-560

Author(s):

Gemma Sanjuan ◽

Tomas Margalef ◽

Ana Cortés

Keyword(s):

Forest Fire ◽

Fire Propagation ◽

Prediction Uncertainty ◽

Propagation Prediction

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Uncertainty Quantification for Multiscale Fusion Plasma Simulations with VECMA Toolkit

Lecture Notes in Computer Science - Computational Science – ICCS 2020 ◽

10.1007/978-3-030-50436-6_53 ◽

2020 ◽

pp. 719-730

Author(s):

Jalal Lakhlili ◽

Olivier Hoenen ◽

Onnie O. Luk ◽

David P. Coster

Keyword(s):

Uncertainty Quantification ◽

Fusion Plasma ◽

Plasma Simulations

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Hybrid Mixed Methods Applied to Miscible Displacements with Adverse Mobility Ratio

Lecture Notes in Computer Science - Computational Science – ICCS 2020 ◽

10.1007/978-3-030-50436-6_19 ◽

2020 ◽

pp. 257-268

Author(s):

Iury Igreja ◽

Gabriel de Miranda

Keyword(s):

Mixed Methods ◽

Mobility Ratio ◽

Miscible Displacements ◽

Adverse Mobility Ratio

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Interactive Travel Aid for the Visually Impaired: from Depth Maps to Sonic Patterns and Verbal Messages

Lecture Notes in Computer Science - Computational Science – ICCS 2020 ◽

10.1007/978-3-030-50436-6_22 ◽

2020 ◽

pp. 299-311

Author(s):

Piotr Skulimowski ◽

Pawel Strumillo

Keyword(s):

Visually Impaired ◽

Verbal Messages

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NUMA-Awareness as a Plug-In for an Eventify-Based Fast Multipole Method

Lecture Notes in Computer Science - Computational Science – ICCS 2020 ◽

10.1007/978-3-030-50436-6_31 ◽

2020 ◽

pp. 428-441

Author(s):

Laura Morgenstern ◽

David Haensel ◽

Andreas Beckmann ◽

Ivo Kabadshow

Keyword(s):

Fast Multipole Method ◽

Fast Multipole ◽

Multipole Method

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Markov Chain Monte Carlo Methods for Fluid Flow Forecasting in the Subsurface

Lecture Notes in Computer Science - Computational Science – ICCS 2020 ◽

10.1007/978-3-030-50436-6_56 ◽

2020 ◽

pp. 757-771

Author(s):

Alsadig Ali ◽

Abdullah Al-Mamun ◽

Felipe Pereira ◽

Arunasalam Rahunanthan

Keyword(s):

Monte Carlo ◽

Markov Chain ◽

Markov Chain Monte Carlo ◽

Monte Carlo Methods

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