C+11 has arrived: thoroughly master it, with the definitive new guide from C++ creator Bjarne Stroustrup, C++ Programming Language, Fou rth Edition! The brand-new edition of the world's most trusted and widely read guide to C++, it has been comprehensively updated for the long-awaited C++11 standard. Extensively rewritten to present the C++11 language, standard library, and key design techniques as an integrated whole, Stroustrup thoroughly addresses changes that make C++11 feel like a whole new language, offering definitive guidance for leveraging its improvements in performance, reliability, and clarity. C++ programmers around the world recognize Bjarne Stoustrup as the go-to expert for the absolutely authoritative and exceptionally useful information they need to write outstanding C++ programs. Now, as C++11 compilers arrive and development organizations migrate to the new standard, they know exactly where to turn once more: Stoustrup's C++ Programming Language, Fourth Edition.

Philosophy of Economics: A Contemporary Introduction is the first systematic textbook in the philosophy of economics. It introduces the epistemological, metaphysical and ethical problems that arise in economics, and presents detailed discussions of the solutions that have been offered. Throughout, philosophical issues are illustrated by and analysed in the context of concrete cases drawn from contemporary economics, the history of economic ideas, and actual economic events. This demonstrates the relevance of philosophy of economics both for the science of economics and for the economy. This text will provide an excellent introduction to the philosophy of economics for students and interested general readers alike.

In this book, Reiss argues in favor of a tight fit between evidence, concept and purpose in our causal investigations in the sciences. There is no doubt that the sciences employ a vast array of techniques to address causal questions such as controlled experiments, randomized trials, statistical and econometric tools, causal modeling and thought experiments. But how do these different methods relate to each other and to the causal inquiry at hand? Reiss argues that there is no "gold standard" in settling causal issues against which other methods can be measured. Rather, the various methods of inference tend to be good only relative to certain interpretations of the word "cause", and each interpretation, in turn, helps to address some salient purpose (prediction, explanation or policy analysis) but not others. The main objective of this book is to explore the metaphysical and methodological consequences of this view in the context of numerous cases studies from the natural and social sciences.

First published in 2001, Causality in Macroeconomics addresses the long-standing problems of causality while taking macroeconomics seriously. The practical concerns of the macroeconomist and abstract concerns of the philosopher inform each other. Grounded in pragmatic realism, the book rejects the popular idea that macroeconomics requires microfoundations, and argues that the macroeconomy is a set of structures that are best analyzed causally. Ideas originally due to Herbert Simon and the Cowles Commission are refined and generalized to non-linear systems, particularly to the non-linear systems with cross-equation restrictions that are ubiquitous in modern macroeconomic models with rational expectations (with and without regime-switching). These ideas help to clarify philosophical as well as economic issues. The structural approach to causality is then used to evaluate more familiar approaches to causality due to Granger, LeRoy and Glymour, Spirtes, Scheines and Kelly, as well as vector autoregressions, the Lucas critique, and the exogeneity concepts of Engle, Hendry and Richard.

<b>A concise and self-contained introduction to causal inference, increasingly important in data science and machine learning.</b><br /><br />The mathematization of causality is a relatively recent development, and has become increasingly important in data science and machine learning. This book offers a self-contained and concise introduction to causal models and how to learn them from data. After explaining the need for causal models and discussing some of the principles underlying causal inference, the book teaches readers how to use causal models: how to compute intervention distributions, how to infer causal models from observational and interventional data, and how causal ideas could be exploited for classical machine learning problems. All of these topics are discussed first in terms of two variables and then in the more general multivariate case. The bivariate case turns out to be a particularly hard problem for causal learning because there are no conditional independences as used by classical methods for solving multivariate cases. The authors consider analyzing statistical asymmetries between cause and effect to be highly instructive, and they report on their decade of intensive research into this problem.<br /><br />The book is accessible to readers with a background in machine learning or statistics, and can be used in graduate courses or as a reference for researchers. The text includes code snippets that can be copied and pasted, exercises, and an appendix with a summary of the most important technical concepts.

Nie zuvor war unsere Zukunft so sehr mit China verknüpft wie heute. Und das nicht nur im Hinblick auf unsere Arbeitsplätze und unser wirtschaftliches Wohlergehen, sondern auch auf unsere Art zu leben und die Bewahrung des Weltfriedens. Zugleich erscheint uns das ferne Riesenreich seltsam fremd und undurchschaubar. Mit seinem ebenso tiefschürfenden wie hochaktuellen Porträt des Volkes, das wir kein anderes die Welt von morgen prägen wird, legt das deutsch-chinesische Autorenpaar ein unverzichtbares Standardwerk zum Verständnis der Chinesen vor. <br /><br />"Ein mutiges Buch. Ein Psychogramm einer ganzen Nation von 1,4 Milliarden Menschen zu erstellen, ist keine leichte Aufgabe. Die Autoren meistern sie mit beeindruckender Kenntnis udn dem Mut, auch sicher geglaubte Einschätzungen kräftig gegen den Strich zu bürsten".<br />Eberhard Sandschneider; Professor für Politik Chinas und internationale Beziehungen, FU Berlin <br /><br />"Dieses Buch ist für alle, die in China Geschäfte machen wollen, eine lehrreiche, aber auch spannende Lektüre und die umfassendste Darstellung von Land und Leuten, die ich kenne."<br />Heinrich von Pierer; langjähriger Vorstandsvorsitzender von Siemens<br /><br />"Ein Buch, das für kontroverse und fruchtbare Diskussionen sorgen kann"<br />Jörg Wuttke; langjähriger Präsident der Europäischen Handelskammer in China

2013年4月14日，美国纽约肯尼迪国际机场，法国阿尔斯通集团锅炉部全球负责人弗雷德里克•皮耶鲁齐，刚下飞机就被美国联邦调查局探员逮捕。 这场抓捕不仅仅是针对他个人的行为，而是美国政府针对法国阿尔斯通的系列行动之一。之后，美国司法部指控皮耶鲁齐涉嫌商业贿赂，并对阿尔斯通处以7.72亿美元罚款。阿尔斯通的电力业务，最终被行业内的主要竞争对手——美国通用电气公司收购。阿尔斯通这家曾经横跨全球电力能源与轨道交通行业的商业巨头，因此被美国人“肢解”。而皮耶鲁齐直到2018年9月才走出监狱，恢复自由。 在《美国陷阱》一书中，皮耶鲁齐以身陷囹圄的亲身经历披露了阿尔斯通被美国企业“强制”收购，以及美国利用《反海外腐败法》打击美国企业竞争对手的内幕。 这是一场隐秘的经济战争。