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Quantum Nonlinear Optics by Eiichi Hanamura , Yutaka Kawabe , Akio Yamanaka, Springer

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  • General Information  
    Author(s)Eiichi Hanamura , Yutaka Kawabe , Akio Yamanaka
    PublisherSpringer
    ISBN9783540423324
    Pages231
    BindingHardback
    LanguageEnglish
    Publish YearFebruary 2007

    Description

    Springer Quantum Nonlinear Optics by Eiichi Hanamura , Yutaka Kawabe , Akio Yamanaka

    This graduate-level textbook gives an introductory overview of the fundamentals of quantum nonlinear optics. It deals with the organization of radiation field, interaction between electronic system and radiation field, statistics of light, and mutual manipulation of light and matter. It also covers laser oscillation, dynamics of light, nonlinear optical response, and nonlinear spectroscopy, as well as ultrashort and ultrastrong laser pulse. In addition, latest results of the frontier of this science are presented. Problems and solutions help the reader to master and review the material. Section 1. Invited Contributions.- Architecting Solvers for SAT Modulo Theories: Nelson-Oppen with DPLL.- From KSAT to Delayed Theory Combination: Exploiting DPLL Outside the SAT Domain.- Hierarchical and Modular Reasoning in Complex Theories: The Case of Local Theory Extensions.- Temporalising Logics: Fifteen Years After.- Section 2. Technical Papers.- Termination of Innermost Context-Sensitive Rewriting Using Dependency Pairs.- A Compressing Translation from Propositional Resolution to Natural Deduction.- Combining Algorithms for Deciding Knowledge in Security Protocols.- Combining Classical and Intuitionistic Implications.- Towards an Automatic Analysis of Web Service Security.- Certification of Automated Termination Proofs.- Temporal Logic with Capacity Constraints.- Idempotent Transductions for Modal Logics.- A Temporal Logic of Robustness.- Noetherianity and Combination Problems.- Languages Modulo Normalization.- Combining Proof-Producing Decision Procedures.- Visibly Pushdown Languages and Term Rewriting.- Proving Termination Using Recursive Path Orders and SAT Solving.



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