Adding new results that have appeared in the last 15 years, Dictionary of Inequalities, Second Edition provides an easy way for researchers to locate an inequality by name or subject. This edition offers an up-to-date, alphabetical listing of each inequality with a short statement of the result, some comments, references to related inequalities, an

The literature on inequalities is vast-in recent years the number of papers as well as the number of journals devoted to the subject have increased dramatically. At best, locating a particular inequality within the literature can be a cumbersome task. A Dictionary of Inequalities ends the dilemma of where to turn to find a result, a related inequality, or the references to the information you need. It provides a concise, alphabetical listing of each inequality-by its common name or its subject-with a short statement of the result, some comments, references to related inequalities, and a list of sources for further information. The author uses only the most elementary of mathematical terminology and does not offer proofs, thus making an interest in inequalities the only prerequisite for using the text. The author focuses on intuitive, physical forms of inequalities rather than their most general versions, and retains the beauty and importance of original versions rather than listing their later, abstract forms. He presents each in its simplest form with other renditions, such as for complex numbers and vectors, as extensions or under different headings. He has kept the book to a more manageable size by omitting inequalities in areas-such as elementary geometric and trigonometric inequalities-rarely used outside their fields. The end result is a current, concise, reference that puts the essential results on inequalities within easy reach. A Dictionary of Inequalities carries the beauty and attraction of the best and most successful dictionaries: on looking up a given item, the reader is likely to be intrigued and led by interest to others.

There seems to be two types of books on inequalities. On the one hand there are treatises that attempt to cover all or most aspects of the subject, and where an attempt is made to give all results in their best possible form, together with either a full proof or a sketch of the proof together with references to where a full proof can be found. Such books, aimed at the professional pure and applied mathematician, are rare. The first such, that brought some order to this untidy field, is the classical "Inequalities" of Hardy, Littlewood & P6lya, published in 1934. Important as this outstanding work was and still is, it made no attempt at completeness; rather it consisted of the total knowledge of three front rank mathematicians in a field in which each had made fundamental contributions. Extensive as this combined knowledge was there were inevitably certain lacunre; some important results, such as Steffensen's inequality, were not mentioned at all; the works of certain schools of mathematicians were omitted, and many important ideas were not developed, appearing as exercises at the ends of chapters. The later book "Inequalities" by Beckenbach & Bellman, published in 1961, repairs many of these omissions. However this last book is far from a complete coverage of the field, either in depth or scope.

V.1. A.N. v.2. O.Z. Apendices and indexes.

This volume is unique in its systematic approach to these three pillars of health systems analysis will give readers of various backgrounds authoritative material about subjects adjacent to their own specialties. Assembling such comparative materials is usually an onerous task because so many programs possess their own vocabularies, goals, and methods. This book will provide common grounds for people in programs as diverse as economics and finance, allied health, business and management, and the social sciences, including psychology. - Gives readers of various backgrounds authoritative material about subjects adjacent to their own specialties - Provides common grounds for people in programs as diverse as economics and finance, allied health, business and management, and the social sciences, including psychology

The purpose of these lecture notes is to provide an introduction to the general theory of empirical risk minimization with an emphasis on excess risk bounds and oracle inequalities in penalized problems. In recent years, there have been new developments in this area motivated by the study of new classes of methods in machine learning such as large margin classification methods (boosting, kernel machines). The main probabilistic tools involved in the analysis of these problems are concentration and deviation inequalities by Talagrand along with other methods of empirical processes theory (symmetrization inequalities, contraction inequality for Rademacher sums, entropy and generic chaining bounds). Sparse recovery based on l_1-type penalization and low rank matrix recovery based on the nuclear norm penalization are other active areas of research, where the main problems can be stated in the framework of penalized empirical risk minimization, and concentration inequalities and empirical processes tools have proved to be very useful.

"I have never seen anything even close to this level of breadth. It′s a very thorough and comprehensive source book for mathematical ideas, terminology, definitions, and examples. Math Dictionary with Solutions, 2nd would be an excellent reference book for instructors of basic mathematics and statistics courses as well as for non-math majors taking required math and statistics courses." --Paul R. Swank, University of Houston "In addition to providing definitions as every dictionary must, it also provides clear and easy-to-follow examples that show how to carry out the most important mathematical operations to be used across these levels. This book is also a valuable resource for graduate students and academicians in the social sciences who are coping with the rapidly increasing emphasis on quantitative methods that, to be understood, require more familiarity with mathematical underpinnings than are typically a part of the academic background of many individuals in these fields." --Dennis W. Roncek, University of Nebraska, Omaha "This is a highly readable, accessible, reference source, the product of a huge amount of labor, obviously." --Hoben Thomas, The Pennsylvania State University Have you ever suddenly become stuck and not remembered how to divide a fraction or turn a fraction into a percentage? Or, have you taken a graduate statistics course and discovered that you can′t remember any of the terminology or techniques from a calculus course you took years ago? If either of these scenarios sounds familiar, then this book will provide you with the quick and easy review that you need. This reference book has math topics ranging from arithmetic through calculus arranged alphabetically by topic. Each topic is provided with a definition, explanation, and an example or two of how to solve a particular problem using the topic′s technique. Depending on the degree of difficulty of the topic, this material is covered in one or two paragraphs to several pages. To further facilitate learning, the topics are cross-referenced so that the reader can backtrack to easier topics if the current one is too difficult. This book is a "mathematics tutor-in-a-book" and provides a reliable reference for any researcher or manager who works with numbers or needs a review of mathematical concepts.

Means in Mathematical Analysis addresses developments in global analysis, non-linear analysis, and the many problems of associated fields, including dynamical systems, ergodic theory, combinatorics, differential equations, approximation theory, analytic inequalities, functional equations and probability theory. The series comprises highly specialized research monographs written by eminent scientists, handbooks and selected multi-contributor reference works (edited volumes), bringing together an extensive body of information. It deals with the fundamental interplay of nonlinear analysis with other headline domains, particularly geometry and analytic number theory, within the mathematical sciences. - Reviews double sequences defined with two arbitrary means, aiding digestion, analysis and prospective research - Provides exact solutions on bounds, inequalities and approximations for researchers interrogating means across physical and statistical problems - Places the current state of means in mathematical analysis alongside its storied and impressive history

Coverage is extensive, and includes terms from the related fields of psychology, economics, anthropology, philosophy and political science. -- Provided by publisher.