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Ted Herman

    Self-stabilizing systems
    A Functional Start to Computing with Python
    • The book offers an interactive introduction to computing, focusing on Python's user-friendly features to facilitate quick learning without the need for prior programming knowledge. It emphasizes Python's flexible data types and operations while introducing essential computing concepts. A companion website enhances the learning experience with additional resources, making it accessible for students new to the field.

      A Functional Start to Computing with Python
    • Self-stabilizing systems

      • 229pagine
      • 9 ore di lettura

      InhaltsverzeichnisSnap-Stabilizing Optimal Binary Search Tree.Synchronous vs. Asynchronous Unison.A Snap-Stabilizing DFS with a Lower Space Requirement.Self-stabilization of Byzantine Protocols.Self-stabilization with r-Operators Revisited.Self-stabilization Preserving Compiler.Self-stabilizing Mobile Node Location Management and Message Routing.Memory Management for Self-stabilizing Operating Systems.Code Stabilization.Stabilizing Certificate Dispersal.On the Possibility and the Impossibility of Message-Driven Self-stabilizing Failure Detection.Approximation of Self-stabilizing Vertex Cover Less Than 2.Self-stabilization in Spite of Frequent Changes of Networks: Case Study of Mutual Exclusion on Dynamic Rings.Towards Automatic Convergence Verification of Self-stabilizing Algorithms.About the Self-stabilization of a Virtual Topology for Self-organization in Ad Hoc Networks.

      Self-stabilizing systems