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1. |
Record Nr. |
UNISA996418279303316 |
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Autore |
Taira Kazuaki |
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Titolo |
Boundary Value Problems and Markov Processes [[electronic resource] ] : Functional Analysis Methods for Markov Processes / / by Kazuaki Taira |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
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ISBN |
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Edizione |
[3rd ed. 2020.] |
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Descrizione fisica |
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1 online resource (XVII, 502 p. 150 illus.) |
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Collana |
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Lecture Notes in Mathematics, , 0075-8434 ; ; 1499 |
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Disciplina |
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Soggetti |
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Probabilities |
Mathematical analysis |
Analysis (Mathematics) |
Operator theory |
Probability Theory and Stochastic Processes |
Analysis |
Operator Theory |
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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 bibliografia |
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Includes bibliographical references and index. |
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Sommario/riassunto |
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This 3rd edition provides an insight into the mathematical crossroads formed by functional analysis (the macroscopic approach), partial differential equations (the mesoscopic approach) and probability (the microscopic approach) via the mathematics needed for the hard parts of Markov processes. It brings these three fields of analysis together, providing a comprehensive study of Markov processes from a broad perspective. The material is carefully and effectively explained, resulting in a surprisingly readable account of the subject. The main focus is on a powerful method for future research in elliptic boundary value problems and Markov processes via semigroups, the Boutet de Monvel calculus. A broad spectrum of readers will easily appreciate the stochastic intuition that this edition conveys. In fact, the book will provide a solid foundation for both researchers and graduate students in pure and applied mathematics interested in functional analysis, |
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partial differential equations, Markov processes and the theory of pseudo-differential operators, a modern version of the classical potential theory. . |
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2. |
Record Nr. |
UNINA9911054592103321 |
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Autore |
Burduk Anna |
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Titolo |
Proceedings of the Fifth International Conference on Intelligent Systems in Production Engineering and Maintenance ISPEM 2025 / / edited by Anna Burduk, S. Margret Anouncia, Kamil Musiał, Oleh Pihnastyi, Izabela Rojek, Arkadiusz Gola, Ryszard Wyczółkowski |
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Pubbl/distr/stampa |
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Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2026 |
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ISBN |
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Edizione |
[1st ed. 2026.] |
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Descrizione fisica |
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1 online resource (674 pages) |
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Collana |
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Lecture Notes in Networks and Systems, , 2367-3389 ; ; 1779 |
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Altri autori (Persone) |
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Disciplina |
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Soggetti |
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Computational intelligence |
Industrial engineering |
Production engineering |
Computational Intelligence |
Industrial and Production Engineering |
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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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Sommario/riassunto |
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This book is a carefully curated collection of scientific papers presented at the 5th International ISPEM Conference 2025, which took place in Wrocław, Poland, from June 25 to June 27, 2025. This prestigious event was organized by five renowned universities from around the world: Wrocław University of Science and Technology (Poland), Liverpool John Moores University (United Kingdom), the University of Minho (Portugal), Rajamangala University of Technology Krungthep (Thailand), and Vellore Institute of Technology (India). ISPEM 2025 brought together more than 160 participants from across the globe, including leading researchers and key industry leaders from the aerospace and automotive sectors. The primary goal of the conference was to serve as |
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a knowledge-sharing platform for scientists, experts, and practitioners in the field of intelligent production systems and maintenance. Through keynote sessions, presentations, and discussions, participants explored innovative solutions for smart factories, research findings, and case studies on advancements in maintenance and production from the perspectives of Industry 4.0 and Industry 5.0. This publication presents cutting-edge research and groundbreaking solutions in modern, efficient, and intelligent production systems that shape the future of manufacturing. Readers find both theoretical analyses and practical implementations, supporting the advancement of production technology and automation. |
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