A newly updated and authoritative exploration of differential and difference equations used in queueing theory In the newly revised second edition of Differential and Difference Equations with Applications in Queueing Theory, a team of distinguished researchers delivers an up-to-date discussion of the unique connections between the methods and applications of differential equations, difference equations, and Markovian queues.
This thoroughly revised and expanded second edition of the Handbook of Markov Chain Monte Carlo reflects the dramatic evolution of MCMC methods since the publication of the first edition.
This book provides a comprehensive compilation of the latest research and advancements presented at the First International Symposium on Biomechatronics and Robotics in Healthcare (BioMRH 2025).
This book provides a comprehensive compilation of the latest research and advancements presented at the First International Symposium on Biomechatronics and Robotics in Healthcare (BioMRH 2025).
This book describes a large and complex research and conservation project which addressed the movement behavior of a variety of wildlife species, each with varying movement patterns, resource needs, and empirical knowledge of their ecologies.
This book offers a comprehensive and in-depth exploration of hoop theory, a fascinating branch of algebra with deep connections to logic and other areas of mathematics.
This book offers a comprehensive and in-depth exploration of hoop theory, a fascinating branch of algebra with deep connections to logic and other areas of mathematics.
In this concise book based on his Arne Ryde Lectures in 2002, Young suggests a conceptual framework for studying strategic learning and highlights theoretical developments in the area.
This book describes a large and complex research and conservation project which addressed the movement behavior of a variety of wildlife species, each with varying movement patterns, resource needs, and empirical knowledge of their ecologies.
This book explores advanced mathematical computational algorithms in artificial intelligence and robotics, with a focus on areas such as machine learning, optimization, and digital simulations.
This book explores advanced mathematical computational algorithms in artificial intelligence and robotics, with a focus on areas such as machine learning, optimization, and digital simulations.
Dieses Buch bietet eine umfassende Darstellung der Didaktik der Analysis unter Berücksichtigung der aktuellen didaktischen Diskussion, theoretischer Konzepte, praktischer Unterrichtserfahrungen und der Bildungsstandards der Kultusministerkonferenz.
This book includes peer reviewed articles from the 6th International Conference on Data Science, Machine Learning and Applications, 2024, held at Tirupati on 13-14th December, in India.
This book includes peer reviewed articles from the 6th International Conference on Data Science, Machine Learning and Applications, 2024, held at Tirupati on 13-14th December, in India.
This book LNCS constitutes the refereed proceedings of the 20th International Conference and Workshops on Algorithms and Computation, WALCOM 2026, Perugia, Italy, March 4–6, 2026, ProceedingsThe 38 full papers were selected from carefully reviewed 108 submissions.
This book LNCS constitutes the refereed proceedings of the 20th International Conference and Workshops on Algorithms and Computation, WALCOM 2026, Perugia, Italy, March 4–6, 2026, ProceedingsThe 38 full papers were selected from carefully reviewed 108 submissions.
This contributed volume includes chapters written by leading experts from around the world and provides a thorough and up-to-date exploration of geometric inequalities and their far-reaching applications.
This book focuses on the challenges of stability analysis and control synthesis for nonlinear dynamical systems, including stochastic systems, multi-agent systems, and nonholonomic systmes.
This book focuses on the challenges of stability analysis and control synthesis for nonlinear dynamical systems, including stochastic systems, multi-agent systems, and nonholonomic systmes.
This contributed volume includes chapters written by leading experts from around the world and provides a thorough and up-to-date exploration of geometric inequalities and their far-reaching applications.
This book begins by exploring the fundamental concepts of dynamical systems and machine learning modeling, elucidating the workflow of these two modeling approaches.
This book begins by exploring the fundamental concepts of dynamical systems and machine learning modeling, elucidating the workflow of these two modeling approaches.