Defining The Science Of Stochastics
Download Defining The Science Of Stochastics PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Defining The Science Of Stochastics book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages.
Defining the Science of Stochastics
The contributions to this volume are revised and updated versions of lectures delivered at the Symposium "Defining the Science of Stochastics", which took place at Schloss Zeilitzheim, Germany, in October 2000. The authors reflect on the history and nature of statistical science and propose to establish "Stochastics" as an independent, mathematically based science, the subject of which is uncertainty generated by ignorance and randomness.
Stochastic Differential Equations In Science And Engineering (With Cd-rom)
Author: Douglas Henderson
language: en
Publisher: World Scientific
Release Date: 2006-08-01
Traditionally, non-quantum physics has been concerned with deterministic equations where the dynamics of the system are completely determined by initial conditions. A century ago the discovery of Brownian motion showed that nature need not be deterministic. However, it is only recently that there has been broad interest in nondeterministic and even chaotic systems, not only in physics but in ecology and economics. On a short term basis, the stock market is nondeterministic and often chaotic. Despite its significance, there are few books available that introduce the reader to modern ideas in stochastic systems. This book provides an introduction to this increasingly important field and includes a number of interesting applications.
Computation, Physics and Beyond
This Festschrift volume has been published in honor of Cristian Calude on the occasion of his 60th birthday and contains contributions from invited speakers and regular papers presented at the International Workshop on Theoretical Computer Science, WTCS 2012, held in Auckland, New Zealand, in February 2012. Cristian Calude has made a significant contribution to research in computer science theory. Along with early work by Chaitin, Kučera, Kurtz, Solovay, and Terwijn his papers published in the mid-1990s jointly with Khoussainov, Hertling, and Wang laid the foundation for the development of modern theory of algorithmic randomness. His work was essential for establishing the leading role of New Zealand in this area. The research interests of Cristian Calude are reflected in the topics covered by the 32 papers included in this book, namely: algorithmic information theory, algorithms, automata and formal languages, computing and natural sciences, computability and applications, logic and applications, philosophy of computation, physics and computation, and unconventional models of computation. They have been organized into four parts. The first part consists of papers discussing his life achievements. This is followed by papers in the three general areas of complexity, computability, and randomness; physics, philosophy (and logic), and computation; and algorithms, automata, and formal models (including unconventional computing).