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Key Benefit: Software developers and computer scientists have eagerly awaited this Java version of Robert Sedgewick's landmark text on algorithms. KEY TOPICS: All five parts are completely revamped, illuminating today's best algorithms for an exceptionally wide range of tasks. This is a shrink-wrapped bundle of Algorithms in Java, 3/e, Parts 1-+2 and Algorithms in Java, 3/e, Part 5. The price of the bundle is $10 off the cost of buying the volumes individually. MARKET: Both professional programmers and computer science students.

This book presents a variety of computational methods used to solve dynamic problems in economics and finance. It emphasizes practical numerical methods rather than mathematical proofs and focuses on techniques that apply directly to economic analyses. The examples are drawn from a wide range of subspecialties of economics and finance, with particular emphasis on problems in agricultural and resource economics, macroeconomics, and finance. The book also provides an extensive Web-site library of computer utilities and demonstration programs.The book is divided into two parts. The first part develops basic numerical methods, including linear and nonlinear equation methods, complementarity methods, finite-dimensional optimization, numerical integration and differentiation, and function approximation. The second part presents methods for solving dynamic stochastic models in economics and finance, including dynamic programming, rational expectations, and arbitrage pricing models in discrete and continuous time. The book uses MATLAB to illustrate the algorithms and includes a utilities toolbox to help readers develop their own computational economics applications.

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