Svetozar Margenov - Böcker

This book constitutes revised papers from the 12th International Conference on Large-Scale Scientific Computing, LSSC 2019, held in Sozopol, Bulgaria, in June 2019. fractional diffusion problems: numerical methods, algorithms and applications; monte carlo algorithms: innovative applications in conjunctions with other methods;

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 papers were organized in topical sections as follows: Fractional diffusion problems: numerical methods, algorithms and applications;

This book constitutes the refereed proceedings of the 14th International Conference on Large-Scale Scientific Computations, LSSC 2023, held in Sozopol, Bulgaria, during June 5–9, 2023. stochastic optimal control and numerical methods in economics and finance; large-scale models: numerical methods, parallel computations and applications;

This volume constitutes the post proceedings of the 15th International Conference on Large-Scale Scientific Computations, LSSC 2025, which took place in Sozopol, Bulgaria, in June 16–20 2025.The 58 full papers included in thisbook were carefully reviewed and selected from 69 submissions. They were organized in topical sections as follows:Invited Papers; Numerical Methods: Analysis and Computations; Variational Analysis and Optimal Control; Space-Time Methods for PDE-Based Simulation and Optimization; Fractional Operators and Multi-Physics; Recent Advances in Computational and Applied Poromechanics; Mathematics and Algorithms for Predictive Digital Twins; Adaptive and Robust Domain Decomposition Methods; Applications of Metaheuristics to Large-Scale Problems; Large-Scale Models: from Life Sciences to Climate Research; HPCand HPDA: Algorithms and Applications; Numerical Solvers and Preconditioners for Differen tial Equations; Porous Media Flow and Transport; Fractional Differential Problems: Theoretical Aspects, Algorithms and Applications; and Contributed Papers.

This book deals with algorithms for the solution of linear systems of algebraic equations with large-scale sparse matrices, with a focus on problems that are obtained after discretization of partial differential equations using finite element methods. The authors provide a systematic presentation of the recent advances in robust algebraic multilevel methods and algorithms, e.g., the preconditioned conjugate gradient method, algebraic multilevel iteration (AMLI) preconditioners, the classical algebraic multigrid (AMG) method and its recent modifications, namely AMG using element interpolation (AMGe) and AMG based on smoothed aggregation.The first six chapters can serve as a short introductory course on the theory of AMLI methods and algorithms. The next part of the monograph is devoted to more advanced topics, including the description of new generation AMG methods, AMLI methods for discontinuous Galerkin systems, looking-free algorithms for coupled problems etc., ending with important practical issues of implementation and challenging applications. This second part is addressed to some more experienced students and practitioners and can be used to complete a more advanced course on robust AMLI and AMG methods and their efficient application.This book is intended for mathematicians, engineers, natural scientists etc.

This volume is a selected collection of papers presented and discussedat the International Conference “Advanced Computing for Innovation (AComIn 2015)”. TheConference was held at 10th -11th of November, 2015 in Sofia, Bulgaria and was aimed atproviding a forum for international scientific exchange between Central/EasternEurope and the rest of the world on several fundamental topics of computationalintelligence. The papers report innovative approaches and solutions in hot topics of computationalintelligence – advanced computing, language and semantic technologies, signal and imageprocessing, as well as optimization and intelligent control.

This book constitutes the thoroughly refereed post-conference proceedings of the 11th International Conference on Large-Scale Scientific Computations, LSSC 2017, held in Sozopol, Bulgaria, in June 2017.The 63 revised short papers together with  3 full papers presented were carefully reviewed and selected from 63 submissions.The conference presents results from the following topics: Hierarchical, adaptive, domain decomposition and local refinement methods;Robust preconditioning algorithms;Monte Carlo methods and algorithms;Numerical linear algebra;Control and optimization;Parallel algorithms and performance analysis;Large-scale computations of environmental, biomedical and engineering problems.The chapter 'Parallel Aggregation Based on Compatible Weighted Matching for AMG' is available open access under a CC BY 4.0 license.

This volume is a selected collection of papers presented and discussedat the International Conference “Advanced Computing for Innovation (AComIn 2015)”.