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The author dispels the myths and hype surrounding products and procedures and gives advice on what works and what doesn't, what's ridiculously expensive and what's reasonable.
Combines topics from two traditionally distinct quantitative subjects, probability/statistics and management science/optimization, in a unified treatment of quantitative methods and models for management. Stresses those fundamental concepts that are most important for the practical analysis of management decisions: modeling and evaluating uncertainty explicitly, understanding the dynamic nature of decision-making, using historical data and limited information effectively, simulating complex systems, and allocating scarce resources optimally.
Though cosmetic breast surgery is most commonly an elective procedure, it is an important, irreversible decision that demands careful consideration. In Cosmetic Breast Surgery, distinguished plastic surgeon Robert M. Freund—who has worked on the breasts of thousands of women in his private and public New York City practices—offers clear explanations and sensitive advice for women curious about having their breasts enlarged, reduced, or lifted. In a factual, conversational tone, Dr. Freund—recently named one of New York's leading plastic surgeons by New York magazine—candidly discusses all of the risks and rewards involved, different operating procedures and options, the right and wrong reasons to have surgery, choosing the right surgeon, pre- and postoperative care, and what to do if a procedure goes wrong. Written with a woman's best interest in mind, Cosmetic Breast Surgery provides photographs throughout and is essential reading for all women considering breast surgery.
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For a long time the techniques of solving linear optimization (LP) problems improved only marginally. Fifteen years ago, however, a revolutionary discovery changed everything. A new `golden age' for optimization started, which is continuing up to the current time. What is the cause of the excitement? Techniques of linear programming formed previously an isolated body of knowledge. Then suddenly a tunnel was built linking it with a rich and promising land, part of which was already cultivated, part of which was completely unexplored. These revolutionary new techniques are now applied to solve conic linear problems. This makes it possible to model and solve large classes of essentially nonlinear optimization problems as efficiently as LP problems. This volume gives an overview of the latest developments of such `High Performance Optimization Techniques'. The first part is a thorough treatment of interior point methods for semidefinite programming problems. The second part reviews today's most exciting research topics and results in the area of convex optimization. Audience: This volume is for graduate students and researchers who are interested in modern optimization techniques.
Detailed review of optimization from first principles, supported by rigorous math and computer science explanations and various learning aids Supported by rigorous math and computer science foundations, Combinatorial and Algorithmic Mathematics: From Foundation to Optimization provides a from-scratch understanding to the field of optimization, discussing 70 algorithms with roughly 220 illustrative examples, 160 nontrivial end-of-chapter exercises with complete solutions to ensure readers can apply appropriate theories, principles, and concepts when required, and Matlab codes that solve some specific problems. This book helps readers to develop mathematical maturity, including skills such as ...
The first biography of an eminent historian of South Africa Bill Freund, the late social historian and leading analyst of African history, passed away in 2020 soon after finishing his autobiography. Often described as the academy’s ‘outsider insider’, he was an eminent South African historian who published prodigiously in the areas of labour, capital and economic history. What influenced this American-educated academic to become such an astute and trusted observer of the political economy in Africa? We follow Bill’s intellectual journey from a modest Jewish home in Chicago in the 1950s to the Universities of Chicago, Yale, Ahmadu Bello University in Nigeria and Dar-es-Salaam, Tanzani...
An accessible introduction and essential reference for an approach to machine learning that creates highly accurate prediction rules by combining many weak and inaccurate ones. Boosting is an approach to machine learning based on the idea of creating a highly accurate predictor by combining many weak and inaccurate “rules of thumb.” A remarkably rich theory has evolved around boosting, with connections to a range of topics, including statistics, game theory, convex optimization, and information geometry. Boosting algorithms have also enjoyed practical success in such fields as biology, vision, and speech processing. At various times in its history, boosting has been perceived as mysterio...
This book constitutes the refereed proceedings of the 20th Annual Conference on Learning Theory, COLT 2007, held in San Diego, CA, USA in June 2007. It covers unsupervised, semisupervised and active learning, statistical learning theory, inductive inference, regularized learning, kernel methods, SVM, online and reinforcement learning, learning algorithms and limitations on learning, dimensionality reduction, as well as open problems.