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Limit Theorems in Probability, Statistics and Number Theory
Limit theorems and asymptotic results form a central topic in probability theory and mathematical statistics. New and non-classical limit theorems have been discovered for processes in random environments, especially in connection with random matrix theory and free probability. These questions and the techniques for answering them combine asymptotic enumerative combinatorics, particle systems and approximation theory, and are important for new approaches in geometric and metric number theory as well. Thus, the contributions in this book include a wide range of applications with surprising connections ranging from longest common subsequences for words, permutation groups, random matrices and free probability to entropy problems and metric number theory. The book is the product of a conference that took place in August 2011 in Bielefeld, Germany to celebrate the 60th birthday of Friedrich Götze, a noted expert in this field.
Fun with Algorithms
This book constitutes the refereed proceedings of the 4th International Conference on Fun with Algorithms, FUN 2007, held in Castiglioncello, Italy in June 2007. It details the use, design, and analysis of algorithms and data structures, focusing on results that provide amusing, witty, but nonetheless original and scientifically profound, contributions to the area.
Magical Mathematics
"Magical Mathematics reveals the secrets of amazing, fun-to-perform card tricks--and the profound mathematical ideas behind them--that will astound even the most accomplished magician. Persi Diaconis and Ron Graham provide easy, step-by-step instructions for each trick, explaining how to set up the effect and offering tips on what to say and do while performing it. Each card trick introduces a new mathematical idea, and varying the tricks in turn takes readers to the very threshold of today's mathematical knowledge. For example, the Gilbreath principle--a fantastic effect where the cards remain in control despite being shuffled--is found to share an intimate connection with the Mandelbrot se...
Computational Differentiation
This volume encompasses both the automatic transformation of computer programs as well as the methodologies for the efficient exploitation of mathematical underpinnings or program structure.
IMS Bulletin
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Einführung in die Stochastik
Das Buch richtet sich in erster Linie an Studierende des Lehramtes. Es soll helfen, sie auf ihren späteren Unterricht an Schulen angemessen vorzubereiten. Darüber hinaus kann es auch allen anderen Interessenten an Stochastik als elementare Einführung dienen. Der erstgenannte Autor hat an der TU München über mehrere Jahre Vorlesungen über Stochastik für Studierende des Lehramts gehalten und dabei versucht, den Bezug zu den Möglichkeiten des Unterrichts an Schulen in den Vordergrund zu rücken. Dazu dienen zahlreiche Abbildungen und elementare Beispiele, die ein Gefühl für die Überraschungen der Wahrscheinlichkeitsrechnung vermitteln können. Der Text wurde von Studierenden kritisch gelesen und daraufhin an vielen Stellen ergänzt und verbessert.
