Engineering Mathematics II : Algebraic, Stochastic and Analysis Structures for Networks, Data Classification and Optimization. 1st ed. 2016
- 種類:
- 電子ブック
- 責任表示:
- edited by Sergei Silvestrov, Milica Rančić
- 出版情報:
- Cham : Springer International Publishing : Imprint: Springer, 2016
- 著者名:
- シリーズ名:
- Springer Proceedings in Mathematics & Statistics ; 179
- ISBN:
- 9783319421056 [3319421050]
- 注記:
- 1 Classification of Low Dimensional 3-Lie Superalgebras: V. Abramov and P. Lätt -- 2 Semi-Commutative Galois Extension and Reduced Quantum Plane: V. Abramov and Md. Raknuzzaman -- 3 Valued Custom Skew Fields with Generalised PBW Property from Power Series Construction: L. Hellström -- 4 Computing Burchnall-Chaundy Polynomials with Determinants: J. Richter and S. Silvestrov -- 5 Centralizers and Pseudo-Degree Functions: J. Richter -- 6 Asymptotic Expansions for Moment Functionals of Perturbed Discrete Time Semi-Markov Processes: M. Petersson -- 7 Asymptotics for Quasi-Stationary Distributions of Perturbed Discrete Time Semi-Markov Processes: M. Petersson -- 8 PageRank, a Look at Small Changes in a Line of Nodes and the Complete Graph: Ch. Engström and S. Silvestrov -- 9 PageRank, Connecting a Line of Nodes with a Complete Graph: Ch. Engström and S. Silvestrov -- 10 Output Rate Variation Problem: Some Heuristic Paradigms and Dynamic Programming: G.B. Thapa and S. Silvestrov -- 11 Lp-Boundedness of Two Singular
This book highlights the latest advances in engineering mathematics with a main focus on the mathematical models, structures, concepts, problems and computational methods and algorithms most relevant for applications in modern technologies and engineering. It addresses mathematical methods of algebra, applied matrix analysis, operator analysis, probability theory and stochastic processes, geometry and computational methods in network analysis, data classification, ranking and optimisation. The individual chapters cover both theory and applications, and include a wealth of figures, schemes, algorithms, tables and results of data analysis and simulation. Presenting new methods and results, reviews of cutting-edge research, and open problems for future research, they equip readers to develop new mathematical methods and concepts of their own, and to further compare and analyse the methods and results discussed. The book consists of contributed chapters covering research developed as a result of a focused interna - ローカル注記:
- 学内専用E-BOOKS (local access only)
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