algorithm design foundations analysis and internet examples 中文版

aaron stump programming language foundations 编程语言基础

This is the first definitive introduction to behavioral economics aimed at advanced undergraduate and postgraduate students. Authoritative, cutting edge, yet accessible, it guides the reader through theory and evidence, providing engaging and relevant applications throughout. It is divided into nine parts and 24 chapters: Part I is on behavioral economics of risk, uncertainty, and ambiguity. The evidence against expected utility theory is examined, and the behavioral response is outlined; the best empirically supported theory is prospect theory. Part II considers other-regarding preferences. The evidence from experimental games on human sociality is given, followed by models and applications of inequity aversion, intentions based reciprocity, conditional cooperation, human virtues, and social identity. Part III is on time discounting. It considers the evidence against the exponential discounted utility model and describes several behavioral models such as hyperbolic discounting, attribute based models and the reference time theory. Part IV describes the evidence on classical game theory and considers several models of behavioral game theory, including level-k and cognitive hierarchy models, quantal response equilibrium, and psychological game theory. Part V considers behavioral models of learning that include evolutionary game theory, classical models of learning, experience weighted attraction model, learning direction theory, and stochastic social dynamics. Part VI studies the role of emotions; among other topics it considers projection bias, temptation preferences, happiness economics, and interaction between emotions and cognition. Part VII considers bounded rationality. The three main topics considered are judgment heuristics and biases, mental accounting, and behavioral finance. Part VIII considers behavioral welfare economics; the main topics are soft paternalism, and choice-based measures of welfare. Finally, Part IX gives an abbreviated tast

Foundations of Machine Learning

面向初中和高年级研究生的教科书。 它使用相干框架介绍了人工智能（AI），以研究智能计算代理的设计。

Foundations Of Semantic Web Technologies，Foundations Of Semantic Web Technologies

No Starch Press 出版的关于信息安全的书，内容比较全面 In this high-level survey of the information security field, best-selling author Jason Andress covers the basics of a wide variety of topics, from authentication and authorization to maintaining confidentiality and performing penetration testing. Using real-world security breaches as examples, Foundations of Information Security explores common applications of these concepts, such as operations security, network design, hardening and patching operating systems, securing mobile devices, as well as tools for assessing the security of hosts and applications. You’ll also learn the basics of topics like: Multifactor authentication and how biometrics and hardware tokens can be used to harden the authentication process The principles behind modern cryptography, including symmetric and asymmetric algorithms, hashes, and certificates The laws and regulations that protect systems and data Anti-malware tools, firewalls, and intrusion detection systems Vulnerabilities such as buffer overflows and race conditions A valuable resource for beginning security professionals, network systems administrators, or anyone new to the field, Foundations of Information Security is a great place to start your journey into the dynamic and rewarding field of information security.

Foundations of Physically Based Modeling and Animation 1st Edition 英文完整版.高清非扫描带书签

Because this book begins with the basics and works up to more difficult concepts, you do not need any previous knowledge of GTK+ development to use this book. This book does assume that you have a decent grasp of the Python programming language. You should also be comfortable with running commands and terminating applications (Ctrl+C) in a Linux terminal.

老美哈佛教授写的确实经典！！！！！！！！！Thisbook,craftedandtestedwithMITsophomoresinelectricalengineeringandcomputer science over a period of more than six years, provides a comprehensive treatment of both circuit analysis and basic electronic circuits. Examples such as digital and analog circuit applications, field-effect transistors, and operational amplifiers provide the platform for modelingofactivedevices, includinglarge-signal, small-signal(incremental), nonlinearand piecewise-linearmodels. Thetreatmentofcircuitswithenergy-storageelementsintransient and sinusoidal-steady-state circumstances is thorough and accessible. Having taught from draftsofthisbookfivetimes,Ibelievethatitisanimprovementoverthetraditionalapproach to circuits and electronics, in which the focus is on analog circuits alone.’’