Software eBooks Page 40

Software engineering is of major importance to all enterprises; however, the key areas of software quality and software process improvement standards and models are currently geared toward large organizations, where most software organizations are small and medium enterprises. Software Process Improvement for Small and Medium Enterprises: Techniques and Case Studies offers practical and useful guidelines, models, and techniques for improving software processes and products for small and medium enterprises, utilizing the authoritative, demonstrative tools of case studies and lessons learned to provide academics, scholars, and practitioners with an invaluable research source....

This book is the book you need to run your business with Red Hat. It provides comprehensive coverage on how to manage and network the Red Hat Linux OS and step-by-step instructions needed to maintain and/or add to the Red Hat Linux system.This book features an entire part on security and problem solving that covers detecting intrusions/hacking, implementing local security, firewalls, and Internet security. Other topics include: RAID; TCP/IP networking; connecting to Microsoft networks; connecting to Apple networks; the Red Hat network; upgrading and customizing the kernel; using scripts; backing up and restoring the file system....

Object-Oriented Programming: From Problem Solving to Java provides a thorough, easy-to-follow reference to master object-oriented programming principles. Throughout the text, problem solving and programming techniques are presented in modeling diagrams, pseudo-code, and flowcharts. Users then learn how to put theory into practice using actual Java code. Unlike "cookbook" guides where users blindly follow the instructions this book encourages users to explore their problem solving creativity, and then test their ideas in a real-world environment. By first learning the concepts involved in object-oriented programming, and then learning how to put them into use, readers not only learn Java, but they also learn how to become more efficient prog...

Information theory and inference, often taught separately, are here united in one entertaining textbook. These topics lie at the heart of many exciting areas of contemporary science and engineering - communication, signal processing, data mining, machine learning, pattern recognition, computational neuroscience, bioinformatics, and cryptography. This textbook introduces theory in tandem with applications. Information theory is taught alongside practical communication systems, such as arithmetic coding for data compression and sparse-graph codes for error-correction. A toolbox of inference techniques, including message-passing algorithms, Monte Carlo methods, and variational approximations, are developed alongside applications of these tools to cluste...