経済動学:理論と計算(テキスト・第2版)<br>Economic Dynamics, second edition : Theory and Computation

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経済動学:理論と計算(テキスト・第2版)
Economic Dynamics, second edition : Theory and Computation

  • 著者名:Stachurski, John
  • 価格 ¥11,475 (本体¥10,432)
  • The MIT Press(2022/08/16発売)
  • ポイント 104pt (実際に付与されるポイントはご注文内容確認画面でご確認下さい)
  • 言語:ENG
  • ISBN:9780262544771
  • eISBN:9780262372442

ファイル: /

Description

The second edition of a rigorous and example-driven introduction to topics in economic dynamics that emphasizes techniques for modeling dynamic systems.

This text provides an introduction to the modern theory of economic dynamics, with emphasis on mathematical and computational techniques for modeling dynamic systems. Written to be both rigorous and engaging, the book shows how sound understanding of the underlying theory leads to effective algorithms for solving real-world problems. The material makes extensive use of programming examples to illustrate ideas, bringing to life the abstract concepts in the text. Key topics include algorithms and scientific computing, simulation, Markov models, and dynamic programming. Part I introduces fundamentals and part II covers more advanced material. This second edition has been thoroughly updated, drawing on recent research in the field.

New for the second edition:

  • “Programming-language agnostic” presentation using pseudocode.
  • New chapter 1 covering conceptual issues concerning Markov chains such as ergodicity and stability.
  • New focus in chapter 2 on algorithms and techniques for program design and high-performance computing.
  • New focus on household problems rather than optimal growth in material on dynamic programming.
  • Solutions to many exercises, code, and other resources available on a supplementary website.
  • Table of Contents

    Preface xiii
    Common Symbols xvii
    I Introduction to Dynamics 1
    1 Introduction 3
    2 Programming 25
    3 Analysis in Metric Space 39
    4 Introduction to Dynamics 59
    5 Further Topics for finite MCs 99
    6 Infinite State Space 115
    II Advances Techniques 153
    7 Integration 155
    8 Density Markov Chains 185
    9 Measure-Theoretic Probability 209
    10 Stochastic Dynamic Programming 227
    11 Stochastic Dynamics 247
    12 More Stochastic Dynamic Programming 295
    III Appendixes 315
    A Real Analysis 317
    B Chapter Appendixes 339
    Bibliography 357
    Index 369

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