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The purpose of this text is to bring graduate students specializing in probability theory to current research topics at the interface of combinatorics and stochastic processes. There is particular focus on the theory of random combinatorial structures such as partitions, permutations, trees, forests, and mappings, and connections between the asymptotic theory of enumeration of such structures and the theory of stochastic processes like Brownian motion and Poisson processes.
Computational complexity is one of the most beautiful fields of modern mathematics, and it is increasingly relevant to other sciences ranging from physics to biology. But this beauty is often buried underneath layers of unnecessary formalism, and exciting recent results like interactive proofs, phase transitions, and quantum computing are usually considered too advanced for the typical student. This book bridges these gaps by explaining the deep ideas of theoretical computer science in a clear and enjoyable fashion, making them accessible to non-computer scientists and to computer scientists who finally want to appreciate their field from a new point of view. The authors start with a lucid a...
From William Morris to Oscar Wilde to George Orwell, left-libertarian thought has long been an important but neglected part of British cultural and political history. In Anarchist Seeds beneath the Snow, David Goodway seeks to recover and revitalize that indigenous anarchist tradition. This book succeeds as simultaneously a cultural history of left-libertarian thought in Britain and a demonstration of the applicability of that history to current politics. Goodway argues that a recovered anarchist tradition could—and should—be a touchstone for contemporary political radicals. Moving seamlessly from Aldous Huxley and Colin Ward to the war in Iraq, this challenging volume will energize leftist movements throughout the world.
Discrete probability theory and the theory of algorithms have become close partners over the last ten years, though the roots of this partnership go back much longer. The papers in this volume address the latest developments in this active field. They are from the IMA Workshops "Probability and Algorithms" and "The Finite Markov Chain Renaissance." They represent the current thinking of many of the world's leading experts in the field. Researchers and graduate students in probability, computer science, combinatorics, and optimization theory will all be interested in this collection of articles. The techniques developed and surveyed in this volume are still undergoing rapid development, and many of the articles of the collection offer an expositionally pleasant entree into a research area of growing importance.
Many leisure activities involve the use of turf as a surface. Grass surfaces on golf courses, bowling clubs, cricket pitches, racetracks, and parks all require maintenance by trained personnel. International Turf Management Handbook is written by a team of international experts. It covers all aspects of turf management and in particular * the selection and establishment of grass varieties * soils, irrigation and drainage * performance testing and playing qualities * issues relating to specific playing surfaces In its depth of coverage and detailed practical advice from around the world this comprehensive handbook is destined to become the standard reference work on the subject.
This volume contains the proceedings of the Workshop on Monte Carlo Methods held at The Fields Institute for Research in Mathematical Sciences (Toronto, 1998). The workshop brought together researchers in physics, statistics, and probability. The papers in this volume - of the invited speakers and contributors to the poster session - represent the interdisciplinary emphasis of the conference. Monte Carlo methods have been used intensively in many branches of scientific inquiry. Markov chain methods have been at the forefront of much of this work, serving as the basis of many numerical studies in statistical physics and related areas since the Metropolis algorithm was introduced in 1953. Stat...
Sports Turf and Amenity Grasses is a comprehensive reference for anyone involved with the selection and maintenance of grasses used in sports and amenity areas in all areas. It provides a means to identify these grasses through keys, descriptions and photographs, and also provides detailed information on sowing, oversowing, stolonising and mowing heights. The performance of each grass is assessed and detailed comments made on positive and negative aspects of its use. A grass’s tolerance to high temperature, frost, drought, shade, wet soil, salinity, low soil fertility, wear and close mowing is given in a table with each aspect rated. Further comments are made on how well it combines with particular grasses and on issues such as seedling vigour and sowing times.
Some of the hardest computational problems have been successfully attacked through the use of probabilistic algorithms, which have an element of randomness to them. Concepts from the field of probability are also increasingly useful in analyzing the performance of algorithms, broadening our understanding beyond that provided by the worst-case or average-case analyses. This book surveys both of these emerging areas on the interface of the mathematical sciences and computer science. It is designed to attract new researchers to this area and provide them with enough background to begin explorations of their own.
Communication is a critical yet often overlooked part of data science. Communicating with Data aims to help students and researchers write about their insights in a way that is both compelling and faithful to the data. General advice on science writing is also provided, including how to distill findings into a story and organize and revise the story, and how to write clearly, concisely, and precisely. This is an excellent resource for students who want to learn how to write about scientific findings, and for instructors who are teaching a science course in communication or a course with a writing component. Communicating with Data consists of five parts. Part I helps the novice learn to writ...
Random trees and tree-valued stochastic processes are of particular importance in many fields. Using the framework of abstract "tree-like" metric spaces and ideas from metric geometry, Evans and his collaborators have recently pioneered an approach to studying the asymptotic behavior of such objects when the number of vertices goes to infinity. This publication surveys the relevant mathematical background and present some selected applications of the theory.