Bayesian Inference And Maximum Entropy Methods In Science And Engineering at Meripustak

Bayesian Inference And Maximum Entropy Methods In Science And Engineering

Books from same Author: Kevin H. Knuth

Books from same Publisher: American Institute of Physics

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  • General Information  
    Author(s)Kevin H. Knuth
    PublisherAmerican Institute of Physics
    ISBN9780735404687
    Pages503
    BindingHardback
    LanguageEnglish
    Publish YearDecember 2007

    Description

    American Institute of Physics Bayesian Inference And Maximum Entropy Methods In Science And Engineering by Kevin H. Knuth

    This excellent volume considers the methods, applications and even the foundations of a key area of theoretical study. Namely, that of Bayesian probability, entropy and information theory in scientific and engineering applications. The material here has come out of the so-called MaxEnt workshops that for more than 25 years have explored the subject. Application areas include, but are not limited to: astronomy, physics, chemistry, biology, earth science, and engineering._x000D_ _x000D_ Parallel and distributed algorithms.- The Wandering Token: Congestion Avoidance of a Shared Resource.- A Locality Optimizing Algorithm for Developing Stream Programs in Imagine.- Granular SSOR Preconditioning Placed on Dynamic SMP Clusters with Communication on the Fly.- Bulk Synchronous Parallel ML with Exceptions.- Networking and communication.- A New Approach to MPI Collective Communication Implementations.- Supporting MPI applications in P-GRADE Portal.- Tuned: An Open MPI Collective Communications Component.- Self-Healing Network for Scalable Fault Tolerant Runtime Environments.- Supporting Seamless Remote I/O Using a Parallel NetCDF Interface.- Grid and web services.- Generating Semantic Descriptions of Web and Grid Services.- Legacy Code Support for Service-oriented Production Grids.- Client-Side Task Support in Matlab for Concurrent Distributed Execution.- Message Level Security For Grid Services Using S/MIME.- Grid infrastructure.- Fault Tolerant Grid Registry.- Secure application deployment in the Hierarchical Local Desktop Grid.- Designing Distributed Mediator Component for the C-GMA Monitoring Architecture.- User Oriented Grid Testing.- Advanced grid techniques.- Application and Middleware Transparent Checkpointing with TCKPT on Clustergrid.- UML based Grid Workflow Modeling under ASKALON.- A Taxonomy of Grid Resource Brokers.- Towards an Agent Integrated Speculative Scheduling Service._x000D_