Encyclopedia of Physical Science and Technology 3rd Edition by Robert A Meyers ISBN 9780122274107 by Robert Allen Meyers instant download after payment.
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ISBN 13: 9780122274107
Author: Robert A Meyers
Nine years has passed since the 1992 second edition of the encyclopedia was published. This completely revised third edition, which is a university and professional level compendium of chemistry, molecular biology, mathematics, and engineering, is refreshed with numerous articles about current research in these fields. For example, the new edition has an increased emphasis on information processing and biotechnology, reflecting the rapid growth of these areas. The continuing Editor-in-Chief, Robert Meyers, and the Board prepared a new topical outline of physical science and technology to define complete coverage. Section editors are either Nobel Laureates or editors of key journals in their fields. Additional Board members representing the global scientific community were also recruited.
The new 18-volume edition of the Encyclopedia of Physical Science and Technology, Third Edition, will have the added feature of an Index Volume, containing abstracts of all of the articles in the encyclopedia.
Encyclopedia of Physical Science and Technology 3rd Table of contents:
I. Foundational Concepts and Principles
- Algorithms and Data Structures:
- Algorithm Design and Analysis
- Data Structures (Arrays, Linked Lists, Trees, Graphs, Heaps)
- Sorting and Searching Algorithms
- Complexity Theory and NP-Completeness
- Programming Paradigms:
- Procedural Programming
- Object-Oriented Programming
- Functional Programming
- Logic Programming
- Event-Driven Programming
- Software Engineering Principles:
- Software Development Life Cycle (SDLC)
- Requirements Engineering
- Software Design Methodologies
- Software Testing and Quality Assurance
- Software Maintenance and Evolution
- Software Metrics and Estimation
- Formal Methods in Software:
- Formal Specification Languages
- Program Verification and Proofs
- Model Checking
II. Programming Languages and Tools
- Programming Language Concepts:
- Syntax, Semantics, and Pragmatics
- Compilers and Interpreters
- Virtual Machines and Runtime Environments
- Type Systems and Memory Management
- Major Programming Languages (e.g., dedicated entries for):
- C and C++
- Java
- Python
- JavaScript
- C#
- Assembly Languages
- Scripting Languages
- Development Tools and Environments:
- Integrated Development Environments (IDEs)
- Version Control Systems (e.g., Git)
- Build Automation Tools
- Debuggers and Profilers
- Code Refactoring Tools
III. System Software
- Operating Systems:
- Operating System Concepts (Processes, Threads, Memory Management, File Systems, I/O)
- Kernel Architectures (Monolithic, Microkernel)
- Distributed Operating Systems
- Real-Time Operating Systems
- Mobile Operating Systems
- Utility Software:
- Device Drivers
- File Management Utilities
- System Monitoring Tools
- Backup and Recovery Software
- Network Software:
- Network Protocols (TCP/IP Suite)
- Network Operating Systems
- Client-Server Architectures
- Middleware
IV. Application Software
- Database Systems:
- Relational Databases (SQL)
- NoSQL Databases
- Database Management Systems (DBMS)
- Data Warehousing and Data Mining
- Web Technologies:
- Web Servers and Browsers
- Front-End Development (HTML, CSS, JavaScript Frameworks)
- Back-End Development (Server-Side Scripting, Web Frameworks)
- Web Services and APIs
- Scientific and Engineering Software:
- Numerical Computing Software (e.g., MATLAB, SciPy)
- Simulation and Modeling Software
- Computer-Aided Design (CAD) and Manufacturing (CAM)
- Geographic Information Systems (GIS)
- Business and Productivity Software:
- Enterprise Resource Planning (ERP)
- Customer Relationship Management (CRM)
- Office Suites
- Financial Software
- Multimedia and Graphics Software:
- Image Processing
- Computer Graphics and Animation
- Audio and Video Editing
- Game Development Software
V. Advanced Topics and Emerging Areas
- Artificial Intelligence and Machine Learning Software:
- Machine Learning Frameworks (e.g., TensorFlow, PyTorch)
- Neural Networks and Deep Learning Libraries
- Natural Language Processing (NLP) Tools
- Computer Vision Libraries
- Cloud Computing Software:
- Infrastructure as a Service (IaaS)
- Platform as a Service (PaaS)
- Software as a Service (SaaS)
- Containerization (e.g., Docker, Kubernetes)
- Cybersecurity Software:
- Firewalls and Intrusion Detection Systems
- Encryption and Decryption Software
- Antivirus and Anti-Malware
- Forensic Software
- Human-Computer Interaction (HCI):
- User Interface (UI) Design
- User Experience (UX) Design
- Accessibility Software
- Big Data and Analytics Software:
- Distributed File Systems (e.g., Hadoop)
- Stream Processing
- Data Visualization Tools
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