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This book gathers the peer-reviewed proceedings of the 13th Annual
Meeting of the Bulgarian Section of the Society for Industrial and
Applied Mathematics, BGSIAM'18, held in Sofia, Bulgaria. The
general theme of BGSIAM'18 was industrial and applied mathematics
with particular focus on: mathematical physics, numerical analysis,
high performance computing, optimization and control, mathematical
biology, stochastic modeling, machine learning, digitization and
imaging, advanced computing in environmental, biomedical and
engineering applications.
This book gathers the peer-reviewed proceedings of the 14th Annual
Meeting of the Bulgarian Section of the Society for Industrial and
Applied Mathematics, BGSIAM'19, held in Sofia, Bulgaria. The
general theme of BGSIAM'19 was industrial and applied mathematics
with particular focus on mathematical physics, numerical analysis,
high-performance computing, optimization and control, mathematical
biology, stochastic modeling, machine learning, digitization and
imaging, and advanced computing in environmental, biomedical, and
engineering applications.
This book gathers the peer-reviewed proceedings of the 13th Annual
Meeting of the Bulgarian Section of the Society for Industrial and
Applied Mathematics, BGSIAM'18, held in Sofia, Bulgaria. The
general theme of BGSIAM'18 was industrial and applied mathematics
with particular focus on: mathematical physics, numerical analysis,
high performance computing, optimization and control, mathematical
biology, stochastic modeling, machine learning, digitization and
imaging, advanced computing in environmental, biomedical and
engineering applications.
This book gathers the peer-reviewed proceedings of the 15th Annual
Meeting of the Bulgarian Section of the Society for Industrial and
Applied Mathematics, BGSIAM'20, held in Sofia, Bulgaria. The
general theme of BGSIAM'20 was industrial and applied mathematics
with particular focus on mathematical physics, numerical analysis,
high-performance computing, optimization and control, mathematical
biology, stochastic modeling, machine learning, digitization and
imaging, advanced computing in environmental, and biomedical and
engineering applications.
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