This book covers formulation, algorithms, and structural results of partially observed Markov decision processes, linking theory to real-world applications in controlled sensing.
This book covers formulation, algorithms, and structural results of partially observed Markov decision processes, linking theory to real-world applications in controlled sensing.
This book provides a thorough understanding of the techniques used to retrieve multi-scale information from turbulent and complex systems, with case studies.
This book provides a thorough understanding of the techniques used to retrieve multi-scale information from turbulent and complex systems, with case studies.
A book for experts and practitioners, emphasizing the intuition and reasoning behind definitions and derivations related to evaluating computer systems performance.
This book offers a practical presentation of stochastic partial differential equations arising in physical applications and their numerical approximation.
This book offers a practical presentation of stochastic partial differential equations arising in physical applications and their numerical approximation.
From classical foundations to modern theory, this comprehensive guide to probability interweaves mathematical proofs, historical context and detailed illustrative applications.
From classical foundations to modern theory, this comprehensive guide to probability interweaves mathematical proofs, historical context and detailed illustrative applications.
Analyse wireless network performance and improve design choices for future architectures and protocols with this rigorous introduction to stochastic geometry.
Analyse wireless network performance and improve design choices for future architectures and protocols with this rigorous introduction to stochastic geometry.
