Lirkov Large-Scale Scientific Computing

Large-Scale Scientific Computing

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13th International Conference, LSSC 2021, Sozopol, Bulgaria, June 7–11, 2021, Revised Selected Papers

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Beschreibung

This book constitutes revised selected papers from the 13th International Conference on Large-Scale Scientific Computing, LSSC 23021, which was held in Sozopol, Bulgaria, during June 7-11, 2021. 
The 60 papers included in this book were carefully reviewed and selected from a total of 73 submissions. The volume also includes two invited talks in full paper length. The papers were organized in topical sections as follows: Fractional diffusion problems: numerical methods, algorithms and applications; large-scale models: numerical methods, parallel computations and applications; application of metaheuristics to large-scale problems; advanced discretizations and solvers for coupled systems of partial differential equations; optimal control of ODEs, PDEs and applications; tensor and matrix factorization for big-data analysis; machine learning and model order reduction for large scale predictive simulations; HPC and big data: algorithms and applications; and contributed papers.


Autor*in

Ivan Lirkov

Themen in »Large-Scale Scientific Computing«

Computations on matrices computer networks correlation analysis Differential equations Discrete optimization Discretization Evolutionary algorithms Mathematical analysis Mathematical optimization matrix algebra Mesh generation network protocols Numerical analysis optimization optimization problems

Stimmen zu »Large-Scale Scientific Computing«

Details

ISBN: 9783030975487
Verlag: Springer International Publishing
Erscheinung: 18.03.2022

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