The economic regeneration and post-war reconstruction of West Germany is one of the most remarkable success stories of the 20th century. However, little is known about the processes and debates that fuelled this era of extraordinary change and upheaval. Christian Glossner here explores the events and individuals of this period, tracing the development of economic and socio-political ideas and their gradual absorption by mainstream politicians, officials and the general public during the period of transition between 1945 and 1949. In the process, he reveals the dynamic interplay between political parties and the electorate during the process of economic liberalisation that was to result in the Social Market Economy prevailing as the socio-political and economic model for the new Federal Republic of Germany.

In this book, Christiane L. Joost-Gaugier offers the first systematic study of Pythagoras and his influence on mathematics, astronomy, philosophy, religion, medicine, music, the occult, and social life as well as on architecture and art in the late medieval and early modern eras. Following the threads of admiration for this ancient Greek sage from the fourteenth century to Kepler and Galileo in the seventeenth, this book demonstrates that Pythagoras s influence in intellectual circles Christian, Jewish, and Arab was more widespread than has previously been acknowledged. Joost-Gaugier shows that during this period Pythagoras was respected by many intellectuals in different areas of Europe. She also shows how this admiration was reflected in ideas that were applied to the visual arts by a number of well known architects and artists who sought, through the use of a visual language inspired by the memory of Pythagoras, to obtain perfect harmony in their creations. Among these were Alberti, Bramante, Leonardo da Vinci, Michelangelo, and Raphael. Thus did, she suggests, some of the greatest art works in the Western world owe their modernity to an inspirational force that, paradoxically, had been conceived in the distant past."

This book investigates the science behind “big liars�—those rare people who use lies as their principal way of navigating life. Most people are mostly honest, most of the time. And there aren't that many big, pants-on-fire liars in the population overall. But just a few big liars can have an outsized impact on the people around them--ruining personal relationships, bankrupting businesses, and even, when they attain political power, undermining the fabric of society. Big Liars explores this small but dangerous group through the lens of psychological science. Fascinating new research gives us insight into the nature of dishonesty and dishonest people, explaining who lies, what types of people lie a lot, how often people lie, how big liars are created, how they operate, how we can recognize them, and how we can avoid being victimized by them. This book has crucial implications for mental health treatment, as well as our efforts to grapple with the effects of big liars—and their big lies—on social movements and society as a whole.

Many multiagent dynamics can be modeled as a stochastic process in which the agents in the system change their state over time in interaction with each other. The Gillespie algorithms are popular algorithms that exactly simulate such stochastic multiagent dynamics when each state change is driven by a discrete event, the dynamics is defined in continuous time, and the stochastic law of event occurrence is governed by independent Poisson processes. The first main part of this volume provides a tutorial on the Gillespie algorithms focusing on simulation of social multiagent dynamics occurring in populations and networks. The authors clarify why one should use the continuous-time models and the Gillespie algorithms in many cases, instead of easier-to-understand discrete-time models. The remainder of the Element reviews recent extensions of the Gillespie algorithms aiming to add more reality to the model (i.e., non-Poissonian cases) or to speed up the simulations. This title is also available as open access on Cambridge Core.

In this book, Christiane L. Joost-Gaugier offers the first systematic study of Pythagoras and his influence on mathematics, astronomy, philosophy, religion, medicine, music, the occult, and social life as well as on architecture and art in the late medieval and early modern eras. Following the threads of admiration for this ancient Greek sage from the fourteenth century to Kepler and Galileo in the seventeenth, this book demonstrates that Pythagoras s influence in intellectual circles Christian, Jewish, and Arab was more widespread than has previously been acknowledged. Joost-Gaugier shows that during this period Pythagoras was respected by many intellectuals in different areas of Europe. She also shows how this admiration was reflected in ideas that were applied to the visual arts by a number of well known architects and artists who sought, through the use of a visual language inspired by the memory of Pythagoras, to obtain perfect harmony in their creations. Among these were Alberti, Bramante, Leonardo da Vinci, Michelangelo, and Raphael. Thus did, she suggests, some of the greatest art works in the Western world owe their modernity to an inspirational force that, paradoxically, had been conceived in the distant past."

Raphael's Stanza della Segnatura in the Vatican Palace has often been considered the artist's most aesthetically perfect work. Executed between 1508 and 1511, it features a painted ceiling, a pavement of inlaid marble, and four frescoed walls, all orchestrated with a cast of famous historical figures who exemplify the various disciplines of learning. Joost-Gaugier's study is the first to examine the elements of the Stanza della Segnatura as an ensemble, exploring the meaning of the frescoes and accompanying decoration in light of recent studies into the intellectual world of High Renaissance Rome.

Numerical simulation is the kind of simulation that uses numerical methods to quantitatively represent the evolution of a physical system. It pays much attention to the physical content of the simulation and emphasises the goal that, from the numerical results of the simulation, knowledge of background processes and physical understanding of the simulation region can be obtained. In practice, numerical simulation uses the values that can best represent the real environment. The evolution of the system also strictly obeys the physical laws that govern the real physical processes in the simulation region. Then the result of such simulation can have a good representation of the real environment. From the result of such simulation we can safely draw proper conclusions and have a good understanding of the system. This book presents leading research from around the world.

This much-needed book, from a selection of top international experts, fills a gap by providing a manual of applied quantitative financial analysis. It focuses on advanced empirical methods for modelling financial markets in the context of practical financial applications.

Data, software and techniques specifically aligned to trading and investment will enable the reader to implement and interpret quantitative methodologies covering various models.

The unusually wide-ranging methodologies include not only the 'traditional' financial econometrics but also technical analysis systems and many nonparametric tools from the fields of data mining and artificial intelligence. However, for those readers wishing to skip the more theoretical developments, the practical application of even the most advanced techniques is made as accessible as possible.

Depending on the model being described, different software will be used, and examples included on the accompanying CD. Data and details will be provided to enable the reader to transfer the routines to a different software package.

The book will be read by quantitative analysts and traders, fund managers, risk managers; graduate students in finance and MBA courses.

This book analyzes the science behind pathological lying, and offers important lessons for research and clinical practice. Curtis and Hart expertly synthesize and unify historical and contemporary writings and research on pathological lying, into a functional and cohesive resource for researchers and clinicians. By offering a succinct, theory‑driven, and empirically corroborated account of this disorder, the authors aim to provide clinicians with the tools they need to more accurately identify and effectively treat patients. For a hundred years, research on pathological lying has been fragmented and diffuse; as a result, the disorder has been called by different names and characterized in innumerable ways, with no formal definition or diagnosis. Recently, there has been a re‑emergence of research examining pathological lying, which has helped establish research markers, categorical distinctions, assessment profiles, and clinical parameters.