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    Optimisation, Econometric and Financial Analysis (Repost)

    Posted By: AvaxGenius
    Optimisation, Econometric and Financial Analysis (Repost)

    Optimisation, Econometric and Financial Analysis by Erricos John Kontoghiorghes, Cristian Gatu
    English | PDF | 2007 | 275 Pages | ISBN : 3540366253 | 4.6 MB

    Advanced computational methods are often employed for the solution of modelling and decision-making problems. This book addresses issues associated with the interface of computing, optimisation, econometrics and financial modelling. Emphasis is given to computational optimisation methods and techniques. The first part of the book addresses optimisation problems and decision modelling, with special attention to applications of supply chain and worst-case modelling as well as advances in the methodological aspects of optimisation techniques. The second part of the book is devoted to optimisation heuristics, filtering, signal extraction and various time series models. The chapters in this part cover the application of threshold accepting in econometrics, the structure of threshold autoregressive moving average models, wavelet analysis and signal extraction techniques in time series. The third and final part of the book is about the use of optimisation in portfolio selection and real option modelling.

    Graph Theory, Combinatorics and Algorithms: Interdisciplinary Applications

    Posted By: AvaxGenius
    Graph Theory, Combinatorics and Algorithms: Interdisciplinary Applications

    Graph Theory, Combinatorics and Algorithms: Interdisciplinary Applications by Martin Charles Golumbic, Irith Ben-Arroyo Hartman
    English | PDF(True) | 2005 | 296 Pages | ISBN : 038724347X | 2.3 MB

    Graph Theory, Combinatorics and Algorithms: Interdisciplinary Applications focuses on discrete mathematics and combinatorial algorithms interacting with real world problems in computer science, operations research, applied mathematics and engineering. The book contains eleven chapters written by experts in their respective fields, and covers a wide spectrum of high-interest problems across these discipline domains. Among the contributing authors are Richard Karp of UC Berkeley and Robert Tarjan of Princeton; both are at the pinnacle of research scholarship in Graph Theory and Combinatorics. The chapters from the contributing authors focus on "real world" applications, all of which will be of considerable interest across the areas of Operations Research, Computer Science, Applied Mathematics, and Engineering. These problems include Internet congestion control, high-speed communication networks, multi-object auctions, resource allocation, software testing, data structures, etc. In sum, this is a book focused on major, contemporary problems, written by the top research scholars in the field, using cutting-edge mathematical and computational techniques.

    Introduction to Optimization (Repost)

    Posted By: AvaxGenius
    Introduction to Optimization (Repost)

    Introduction to Optimization by Pablo Pedregal
    English | PDF | 2004 | 253 Pages | ISBN : 0387403981 | 13.6 MB

    This undergraduate textbook introduces students of science and engineering to the fascinating field of optimization. It is a unique book that brings together the subfields of mathematical programming, variational calculus, and optimization in a single reference. As a primer on optimization, its main goal is to provide a succinct and accessible introduction to linear programming, nonlinear programming, numerical optimization algorithms, variational problems, dynamic programming, and optimal control. Prerequisites have been kept to a minimum, although a basic knowledge of calculus, linear algebra, and differential equations is assumed.

    Practical Optimization Methods: With Mathematica® Applications

    Posted By: AvaxGenius
    Practical Optimization Methods: With Mathematica® Applications

    Practical Optimization Methods: With Mathematica® Applications by M. Asghar Bhatti
    English | PDF | 2000 | 719 Pages | ISBN : 0387986316 | 36.1 MB

    The goal of this book is to present basic optimization theory and modern computational algorithms in a concise manner. The book is suitable for un­ dergraduate and graduate students in all branches of engineering, operations research, and management information systems. The book should also be use­ ful for practitioners who are interested in learning optimization and using these techniques on their own.