This book, suitable for both course work and self-study, brings together for the first time, in an informal, tutorial fashion, the computer techniques, mathematical tools, and research results that will enable both students and practitioners to apply genetic algorithms to problems in many fields: programmers, scientists, engineers, mathematicians, statisticians and management scientists will all find interesting possibilities here. Major concepts are illustrated with running examples, and major algorithms are illustrated by Pascal computer programs. Chapter concludes with exercises and computer assignments. No prior knowledge of Gas or genetics is assumed.

This book combines the analytic principles of digital business and data science with business practice and big data. The interdisciplinary, contributed volume provides an interface between the main disciplines of engineering and technology and business administration. Written for managers, engineers and researchers who want to understand big data and develop new skills that are necessary in the digital business, it not only discusses the latest research, but also presents case studies demonstrating the successful application of data in the digital business.

"Will delight and inform anyone who enjoys rigorous thinking and the unexpected conclusions it delivers." -- Jamie Whyte, author of Crimes Against Logic "This ingenious gallop through the mind of Steven Landsburg enables you to think like an economist without incurring a Keynesian headache or a huge student loan. You may even end up 'smarter than Google.' But you will not readily put down this exhilarating adventure in ideas." -- George Gilder, author of Knowledge and Power and Life After Google Can you outsmart an economist? Steven Landsburg, acclaimed author and professor of economics, dares you to try. In this whip-smart, entertaining, and entirely unconventional economics primer, he brings together over one hundred puzzles and brain teasers that illustrate the subject's key concepts and pitfalls. From warm-up exercises to get your brain working, to logic and probability problems, to puzzles covering more complex topics like inferences, strategy, and irrationality, Can You Outsmart an Economist? will show you how to do just that by expanding the way you think about decision making and problem solving. Let the games begin "Entertaining as well as edifying. Read it, expand your mind, and have fun "-- N. Gregory Mankiw, Robert M. Beren Professor of Economics, Harvard University

By George B. Dantzig LINEAR PROGRAMMING The Story About How It Began: Some legends, a little about its historical sign- cance, and comments about where its many mathematical programming extensions may be headed. Industrial production, the ?ow of resources in the economy, the exertion of military e?ort in a war, the management of ?nances—all require the coordination of interrelated activities. What these complex undertakings share in common is the task of constructing a statement of actions to be performed, their timing and quantity(calledaprogramorschedule), that, ifimplemented, wouldmovethesystem from a given initial status as much as possible towards some de?ned goal. While di?erences may exist in the goals to be achieved, the particular processes, and the magnitudes of e?ort involved, when modeled in mathematical terms these seemingly disparate systems often have a remarkably similar mathematical str- ture. The computational task is then to devise for these systems an algorithm for choosing the best schedule of actions from among the possible alternatives. The observation, in particular, that a number of economic, industrial, ?nancial, and military systems can be modeled (or reasonably approximated) by mathem- ical systems of linear inequalities and equations has given rise to the development of the linear programming ?eld.

NJ 1970 -1st Prentice Hall. Sm4to., 530pp. Owner signed and library stamp on front end paper but no other library marks at all. No spine number, no pocket. Near Fine in VG DJ.

The International Conference on Complex Systems provides a unique opportunity for scientists to rise above the disciplinary boundaries and explore unity in complex systems. This volume contains the proceedings of the Second International Conference on Complex Systems. The sessions ranged from the opening talk by Nobel laureate Philip Anderson on emergence and the relevance of complex systems to physics to the final panel that included many of the great management gurus of this generation. The plenary session topics for the second conference were emergence, description and modeling, self-organization, networks, time series, agents in action, and complexity and management. Talks in these sessions often focused on contributions in specific disciplines, but each session contained a diverse set of disciplines to show the strategies and concepts that can be applied generally to complex systems. Overall, the conference presentations dealt with issues of significant public interest, including individual psychology, dynamics of social and economic change, the human genome, and ecology.The New England Complex Systems Institute is an independent educational and research institution dedicated to advancing the study of complex systems, including new concepts and methodologies that are affecting all fields of science and engineering, and are being applied to technology, business, and even social policy. NECSI organizes conferences, workshops, short courses, and other activities from which books will be produced for the NECSI Series on Complexity. The books will range from conference proceedings and graduate textbooks to general-audience trade books, and will address fundamental concepts, new frontiers, and innovative applications of complex systems.