|
Showing 1 - 7 of
7 matches in All Departments
This volume is a selected collection of papers presented and
discussed at the International Conference "Advanced Computing for
Innovation (AComIn 2015)". The Conference was held at 10th -11th of
November, 2015 in Sofia, Bulgaria and was aimed at providing a
forum for international scientific exchange between Central/Eastern
Europe and the rest of the world on several fundamental topics of
computational intelligence. The papers report innovative approaches
and solutions in hot topics of computational intelligence -
advanced computing, language and semantic technologies, signal and
image processing, as well as optimization and intelligent control.
This volume is a selected collection of papers presented and
discussed at the International Conference "Advanced Computing for
Innovation (AComIn 2015)". The Conference was held at 10th -11th of
November, 2015 in Sofia, Bulgaria and was aimed at providing a
forum for international scientific exchange between Central/Eastern
Europe and the rest of the world on several fundamental topics of
computational intelligence. The papers report innovative approaches
and solutions in hot topics of computational intelligence -
advanced computing, language and semantic technologies, signal and
image processing, as well as optimization and intelligent control.
This book constitutes the thoroughly refereed post-conference
proceedings of the 9th International Conference on Large-Scale
Scientific Computations, LSSC 2013, held in Sozopol, Bulgaria, in
June 2013. The 74 revised full papers presented together with 5
plenary and invited papers were carefully reviewed and selected
from numerous submissions. The papers are organized in topical
sections on numerical modeling of fluids and structures; control
and uncertain systems; Monte Carlo methods: theory, applications
and distributed computing; theoretical and algorithmic advances in
transport problems; applications of metaheuristics to large-scale
problems; modeling and numerical simulation of processes in highly
heterogeneous media; large-scale models: numerical methods,
parallel computations and applications; numerical solvers on
many-core systems; cloud and grid computing for resource-intensive
scientific applications.
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 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.
This book constitutes revised papers from the 12th International
Conference on Large-Scale Scientific Computing, LSSC 2019, held in
Sozopol, Bulgaria, in June 2019. The 70 papers presented in this
volume were carefully reviewed and selected from 81 submissions.
The book also contains two invited talks. The papers were organized
in topical sections named as follows: control and optimization of
dynamical systems; meshfree and particle methods; fractional
diffusion problems: numerical methods, algorithms and applications;
pore scale flow and transport simulation; tensors based algorithms
and structures in optimization and applications; HPC and big data:
algorithms and applications; large-scale models: numerical methods,
parallel computations and applications; monte carlo algorithms:
innovative applications in conjunctions with other methods;
application of metaheuristics to large-scale problems; large scale
machine learning: multiscale algorithms and performance guarantees;
and contributed papers.
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.
|
|