Fundamental Networking in Java
, - a long-standing gap in the documentation and literature of the Java™ programming language and platform, by providing fundamental and in-depth coverage of # and networking from the point of view of the Java API, and by discussing advanced networking programming techniques.1 The new I/O and networking features introduced in " 1.4 provide further justification for the appearance of this text. Much of the information in this book is either absent from or incorrectly specified in the Java documentation and books by other hands, as I have noted throughout. In writing this book, I have drawn on nearly twenty years’ experience in network programming, over a great variety of protocols, APIs, and languages, on a number of platforms (many now extinct), and on networks ranging in size from an Ethernet a few inches in length, to a corporate between cities thousands of miles apart, to the immense geographic spread of the Internet. This book covers both ‘traditional’ Java stream-based I/O and so-called ‘new I/O’ based on buffers and channels, supporting non-blocking I/O and multiplexing, for both ‘plain’ and secure sockets, specfically including non-blocking # and % . Server and client architectures, using both blocking and non-blocking I/O schemes, are discussed and analysed from the point of view of scalability and with a particular emphasis on performance analysis. An extensive list of TCP/IP platform dependencies, not documented in Java, is provided, along with a handy reference to the various states a TCP/IP port can assume.
根据自己所学科技英文相关知识和结合自己经历，用英语写一篇修完“面向对象程序设计 Java 课程”所学到知识内容、掌握什么技能、自己通过 Java 语言开发了什么程序或项目，以及对Java未来发展展望等等介绍的短文。（字数不少于200个单词，非软工专业，以C语言为题）
翻译成中文In dynamical systems theory, a stable manifold is a set of points in phase space that converges towards a stable equilibrium point or limit cycle. More specifically, it is a set of initial conditions for which the system will converge towards the stable equilibrium or limit cycle. The stable manifold can be thought of as a geometric structure that characterizes the behavior of the system near the equilibrium or limit cycle. In the context of the HH neuron model discussed in the referenced article, the stable manifold is the set of initial conditions for which the system will converge towards the stable resting state of the neuron. This is because the stable resting state is the only stable equilibrium point of the system. Trajectories that start to the left of the stable manifold will quickly converge towards the stable resting state, while trajectories that start to the right of the stable manifold will diverge from the resting state and eventually converge towards the unstable equilibrium point. Overall, the stable manifold is a fundamental concept in dynamical systems theory and plays an important role in understanding the behavior of nonlinear systems such as the HH neuron model.
- 我的内容管理 收起
- 我的资源 快来上传第一个资源
- 我的收益 登录查看自己的收益
- 我的积分 登录查看自己的积分
- 我的C币 登录后查看C币余额