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| This book provides an accessible introduction to class field theory. It takes a traditional approach, but in a fashion which is cleaner and... This book offers a unique self-contained introduction to group and ring theory, and thoroughly treats the concept of the spectrum of a ring...
This book presents a wide array of methods applicable for reading data into R, and efficiently manipulating that data.In addition to the... With the third edition of his popular Mathematica in Action, award-winning author Stan Wagon guides readers through the important changes...
Over the past two decades, the once small local Colorado Springs Mathematics Olympiad, founded by the author himself, has now become an... John Chambers has been the principal designer of the S language since its beginning, and in 1999 received the ACM System Software award for...
The book was developed for a one-semester course usually attended by students in statistics, economics, business, engineering, and... This second edition presents up-to-date material on the theory of weak convergance of convolution products of probability measures in...
In this book, Graham Wills bridges the gap between the art and the science of visually representing data. He does not simply give rules and... In this new textbook, acclaimed author John Stillwell presents a lucid introduction to Lie theory suitable for junior and senior level...
This book introduces Lie groups and their actions on manifolds and provides in-depth applications of fundamental principles, while remaining... This book bridges theory and application of stochastic programming in operations research. It describes various methods of formulating...
Probability and Stochastics provides an introduction to the field, and begins by describing the fundamentals and basic principles of... "Hartshorne has produced a book ... of which he may be proud and for which we must be grateful. It is destined to become the standard...
The book fulfills a definite need to provide a self-contained, one volume, graduate level algebra text that is readable by the average... An application of the techniques of dynamical systems and bifurcation theories to the study of nonlinear oscillations. Taking their cue from...
There has been a dramatic growth in the development and application of Bayesian inferential methods. Some of this growth is due to the... This text provides an introduction to ergodic theory suitable for readers knowing basic measure theory. The mathematical prerequisites are...
WINNER OF THE 2003 DEGROOT PRIZE!The DeGroot Prize is awarded every two years by the International Societyfor Bayesian Analysis in... This is an introduction to time series that emphasizes methods and analysis of data sets. The logic and tools of model-building for...
From April 1999 Notices of the AMS, announcing that the author was awarded the Leroy P. Steele Prize for Mathematical Exposition for his... This book gives an introduction to the basic concepts which are used in differential topology, differential geometry, and differential...
These notes were developed from a course taught at Rice University in the spring of 1976 and again at the University of Hawaii in the spring... Used in undergraduate classrooms across the country, this book is a clearly written, rigorous introduction to differential equations and...
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