Numerical mathematics is the branch of mathematics that proposes, develops, analyzes and applies methods from scientific computing to several fields including analysis, linear algebra, geometry, approximation theory, functional equations, optimization and differential equations. Other disciplines such as physics, the natural and biological sciences, engineering, and economics and the financial sciences frequently give rise to problems that need scientific computing for their solutions.

c++ 模板技术第二版，现代c++ 必备。值得深入学习，很多c++ 库使用了该技术。

英文原版《有限单元法》第2版，K. J Bathe 的经典之作。

Reinforcement Learning: An Introduction Small book cover Richard S. Sutton and Andrew G. Barto Second Edition (see here for the first edition) MIT Press, Cambridge, MA, 2018

Digital Integrated Circuits A Design Perspective Second Edition （数字集成电路——电路、系统与设计）2nd edited. pdf 英文版全文+练习题+答案 本书由美国加州大学伯克利分校Jan M. Rabaey教授撰写。全书共12章，分为三个部分：基本单元、电路设计和系统设计。本书在对MOS器件和连线的特性做了简要介绍之后，深入分析了数字设计的核心——invertor, combinational circuit design,sequential circuit design, ..控制器、运算电路以及存储器这些复杂数字电路与系统的设计中。为了反映数字集成电路设计进入深亚微米领域后正在发生的深刻变化，第二版增加了许多新的内容，并以0.25微米CMOS工艺的实际电路为例，讨论了深亚微米器件效应、电路最优化、互连线建模和优化、信号完整性、时序分析、时钟分配、高性能和低功耗设计、设计验证、芯片测试和可测性设计等主题，着重探讨了深亚微米数字集成电路设计面临的挑战和启示。

Title: Mastering Apache Cassandra, 2nd Edition Author: Nishant Neeraj Length: 322 pages Edition: 2 Language: English Publisher: Packt Publishing Publication Date: 2015-02-27 ISBN-10: 1784392618 ISBN-13: 9781784392611 The book is aimed at intermediate developers with an understanding of core database concepts and want to become a master implementing Cassandra for their application. Table of Contents Chapter 1. Quick Start Chapter 2. Cassandra Architecture Chapter 3. Effective CQL Chapter 4. Deploying a Cluster Chapter 5. Performance Tuning Chapter 6. Managing a Cluster – Scaling, Node Repair, and Backup Chapter 7. Monitoring Chapter 8. Integration with Hadoop

数字版，有目录。 Key Features Navigate through the complex jungle of components in OpenStack using practical instructions This book helps administrators, cloud engineers, and even developers to consolidate and control pools of compute, networking, and storage resources Learn to use the centralized dashboard and administration panel to monitor large-scale deployments Book Description OpenStack is a widely popular platform for cloud computing. Applications that are built for this platform are resilient to failure and convenient to scale. This book, an update to our extremely popular OpenStack Essentials (published in May 2015) will help you master not only the essential bits, but will also examine the new features of the latest OpenStack release - Mitaka; showcasing how to put them to work straight away. This book begins with the installation and demonstration of the architecture. This book will tech you the core 8 topics of OpenStack. They are Keystone for Identity Management, Glance for Image management, Neutron for network management, Nova for instance management, Cinder for Block storage, Swift for Object storage, Ceilometer for Telemetry and Heat for Orchestration. Further more you will learn about launching and configuring Docker containers and also about scaling them horizontally. You will also learn about monitoring and Troubleshooting OpenStack. What you will learn Brush up on the latest release, and how it affects the various components Install OpenStack using the Packstack and RDO Manager installation tool Learn to convert a computer node that supports Docker containers Implement Ceph Block Device images with OpenStack Create and allocate virtual networks, routers and IP addresses to OpenStack Tenants. Configuring and Launching a Docker container. About the Author Dan Radez joined the OpenStack community in 2012 in an operator role. His experience is focused on installing, maintaining, and integrating OpenStack clusters.

It is not so often in life that you get a second chance. I remember that only days after we stopped editing the first edition, I kept asking myself, "Why didn't I...?", or "What the heck was I thinking saying it like that?", and on and on. In fact, the first project I started working on after it was published had nothing to do with any of the methods in the first edition. I made a mental note that if given the chance, it would go into a second edition. When I started with the first edition, my goal was to create something different, maybe even create a work that was a pleasure to read, given the constraints of the topic. After all the feedback I received, I think I hit the mark. However, there is always room for improvement, and if you try and be everything to all people, you become nothing to everybody. I'm reminded of one of my favorite Frederick the great quotes, "He who defends everything, defends nothing". So, I've tried to provide enough of the skills and tools, but not all of them, to get a reader up and running with R and machine learning as quickly and painlessly as possible. I think I've added some interesting new techniques that build on what was in the first edition. There will probably always be the detractors who complain it does not offer enough math or does not do this, that, or the other thing, but my answer to that is they already exist! Why duplicate what was already done, and very well, for that matter? Again, I have sought to provide something different, something that would keep the reader's attention and allow them to succeed in this competitive field. Before I provide a list of the changes/improvements incorporated into the second edition, chapter by chapter, let me explain some universal changes. First of all, I have surrendered in my effort to fight the usage of the assignment operator <- versus just using =. As I shared more and more code with others, I realized I was out on my own using = and not <-. The first thing I did when under con

Handbook of Biometric Anti-Spoofing: Presentation Attack Detection (Advances in Computer Vision and Pattern Recognition) ISBN-10 书号: 3319926268 ISBN-13 书号: 9783319926261 Edition 版本: 2nd ed. 2019 出版日期: 2019-01-02 pages 页数: (519 ) $149.99 This authoritative and comprehensive handbook is the definitive work on the current state of the art of Biometric Presentation Attack Detection (PAD) – also known as Biometric Anti-Spoofing. Building on the success of the previous, pioneering edition, this thoroughly updated second edition has been considerably expanded to provide even greater coverage of PAD methods, spanning biometrics systems based on face, fingerprint, iris, voice, vein, and signature recognition. New material is also included on major PAD competitions, important databases for research, and on the impact of recent international legislation. Valuable insights are supplied by a selection of leading experts in the field, complete with results from reproducible research, supported by source code and further information available at an associated website. Topics and features: reviews the latest developments in PAD for fingerprint biometrics, covering optical coherence tomography (OCT) technology, and issues of interoperability; examines methods for PAD in iris recognition systems, and the application of stimulated pupillary light reflex for this purpose; discusses advancements in PAD methods for face recognition-based biometrics, such as research on 3D facial masks and remote photoplethysmography (rPPG); presents a survey of PAD for automatic speaker recognition (ASV), including the use of convolutional neural networks (CNNs), and an overview of relevant databases; describes the results yielded by key competitions on fingerprint liveness detection, iris liveness detection, and software-based face anti-spoofing; provides analyses of PAD in fingervein recognition, online handwritten signature verification, and in biometric technologies on mobile devicesincludes covera

统计学习基础 根据GitHub上的latex索引文件自己合成的