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Record Nr. |
UNINA9910746955503321 |
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Autore |
Georgiev Ivan |
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Titolo |
Advanced Computing in Industrial Mathematics : 14th Annual Meeting of the Bulgarian Section of SIAM, December 17-19, 2019, Sofia, Bulgaria, Revised Selected Papers / / edited by Ivan Georgiev, Hristo Kostadinov, Elena Lilkova |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023 |
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ISBN |
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Edizione |
[1st ed. 2023.] |
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Descrizione fisica |
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1 online resource (256 pages) |
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Collana |
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Studies in Computational Intelligence, , 1860-9503 ; ; 1111 |
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Altri autori (Persone) |
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KostadinovKhristo |
LilkovaElena |
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Disciplina |
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Soggetti |
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Computational intelligence |
Computer science - Mathematics |
Computational Intelligence |
Mathematical Applications in Computer Science |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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Watermarking Audio Signals: Analysis of Noise Effect and Error Characteristics -- Determination of the Optimal Honeybee Colony's Location Based on the Productive Potential of the Bee Forage Species -- Statistical properties of stationary flow of substance in a network channel containing arbitrary number of arms -- Reconstruction of Time-Dependent Implied Volatility by Market Observations for European Options in Jump–Diffusion Models -- Performance analysis of a parallel hierarchical semi-separable compression solver in shared and distributed memory environment for BEM discretization of flow around airfoils -- Inuitionistic Fuzzy Anova Approach to the Management of Movie Sales Revenue. |
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Sommario/riassunto |
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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 |
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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. |
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