Quantitative Evaluation of HIV Prevention Programs

Edited by Edward H. Kaplan and Ron Brookmeyer

How successful are HIV prevention programs? Which HIV prevention programs are most cost effective? Which programs are worth expanding and which should be abandoned altogether? This book addresses the quantitative evaluation of HIV prevention programs, assessing for the first time several different quantitative methods of evaluation.

The authors of the book include behavioral scientists, biologists, economists, epidemiologists, health service researchers, operations researchers, policy makers and statisticians. They present a wide variety of perspectives on the subject, including an overview of HIV prevention programs in developing countries, economic analyses that address questions of cost effectiveness and resource allocation, case studies such as Israel's ban on Ethiopian blood donors, and descriptions of new methodologies and problems.

Published by Yale University Press.

Financial Engineering and Computation: Principles, Mathematics, Algorithms


By Yuh-Dauh Lyuu

During the past decade many sophisticated mathematical and computing techniques have been developed for analyzing financial markets. Students and professionals intending to work in any area of finance must not only master advanced concepts and mathematical models, but must also learn how to implement these models computationally. This comprehensive text combines a thorough treatment of the theory and mathematics behind financial engineering with an emphasis on computing, in keeping with the way financial engineering is practiced in today's capital markets.

Unlike most books on investment, financial engineering or derivative securities, the book starts from basic ideas in finance and gradually builds up the theory. The advanced mathematical concepts needed in modern finance are explained at accessible levels, thus it offers a thorough grounding in the subject for MBAs in finance, students of engineering and sciences who are pursuing a career in finance, researchers in computational finance, system analysts and financial engineers. Building on the theory, the author presents algorithms for computing techniques in pricing, risk management and portfolio management, together with analyses of their efficiency.

Published by Cambridge University Press.

Building and Solving Mathematical Programming Models in Engineering and Science


By Enrique Castillo, Antonio J. Conejo, Pablo Pedregal, Ricardo Garcia, Natalia Alguacil

Modeling is one of the most appealing areas in engineering and applied sciences. Engineers need to build models to solve real-life problems. The aim of a model is to reproduce the reality as faithfully as possible, trying to understand how the real world behaves, and to obtain the expected responses to given actions or inputs. Many types of models are used in practice, such as differential equations models, function equation models, finite difference and finite element models and mathematical programming models.

Published by John Wiley & Sons.

Quantitative Decision Making with Spreadsheet Applications: 7th Edition


By Lawrence L. Lapin and William D. Whisler

Written for students with a background in algebra, this text provides a complete and modern treatment of basic management science methodology. The authors survey the variety and power of management science tools, working to alleviate students' apprehension about the subject and to enable students to recognize on-the-job situations in which management science methodology can be successfully employed. Emphasizing modeling skills for students of varying mathematical backgrounds, the authors explain how to use Microsoft Excel spreadsheets to build skills as they work through problems. In general, problems are broken into several parts to make difficult concepts easy for students to learn. This book's modular structure affords instructors maximum flexibility.

Published by Duxbury Press.

Linear and Integer Programming Theory and Practice: Second Edition


By Gerald Sierksma

This authoritative reference/text combines the theoretical and practical aspects of linear and integer programming ‚ providing practical case studies and techniques, including rounding-off, column-generation, game theory, multiobjective optimization and goal programming as well as real-world solutions to the transportation and transshipment problem, project scheduling, decentralization and machine scheduling problems.

Thoroughly reorganized throughput to provide enhanced logical and clear presentation of the topics discussed, the book decouples theory and solutions for in-depth analyses.

Published by Marcel Dekker.

Qualitative Analysis and Synthesis of Recurrent Neural Networks


Edited by Anthony N. Michel and Derong Liu

This reference/text analyzes the qualitative properties, limitations, design and implementation of artificial recurrent networks and evaluates system operation. Detailing key classes of recurrent neural networks, the book: 1. investigates the effects of parameter perturbations, time delays and interconnection constraints on network function, 2. assesses the global stability of various neural networks, 3. presents methods to decrease the number of spurious states, 4. develops processes for optimal network operation and memory storage, and 5. estimates the number of stable memories and determines their locations in state space.

Published by Marcel Dekker.