Knihobot

Mathukumalli Vidyasagar

    Control Systems Synthesis
    Computational Cancer Biology
    Learning and Generalisation
    • Learning and Generalisation

      With Applications to Neural Networks

      • 516 stránek
      • 19 hodin čtení

      Exploring the principles of learning and generalization, this book delves into how knowledge is acquired and applied across different contexts. It examines various learning theories, emphasizing their implications for education and cognitive development. The text also discusses the role of experience in shaping understanding and the importance of adaptability in applying learned concepts to novel situations. Through a blend of theoretical insights and practical applications, readers gain a comprehensive understanding of the mechanisms behind learning processes.

      Learning and Generalisation
    • Computational Cancer Biology

      An Interaction Network Approach

      • 92 stránek
      • 4 hodiny čtení

      Focusing on the intersection of probability theory and cancer biology, this brief provides insights into various problems within the field that can be analyzed using statistical methods. While it highlights specific applications related to cancer data, the techniques discussed are applicable to a wider range of computational biology issues, making it a valuable resource for those with foundational knowledge in probability looking to explore its relevance in biological research.

      Computational Cancer Biology
    • Control Systems Synthesis

      A Factorization Approach, Part I

      • 188 stránek
      • 7 hodin čtení

      The book presents the stable factorization approach for designing feedback controllers in linear control systems, focusing on multi-input, multi-output (MIMO) plants represented as matrices over a commutative ring. It defines stable control systems within this mathematical framework and introduces the concept of coprimeness for matrices, which extends to various system types. A key result is the parametrization of stabilizing controllers using a single parameter from the ring, facilitating the formulation of stabilization problems. This reprint revisits foundational concepts in control system synthesis.

      Control Systems Synthesis