This book provides a practically-oriented introduction to high-level programming language implementation. It demystifies what goes on within a compiler and stimulates the reader's interest in compiler design, an essential aspect of computer science. Programming language analysis and translation techniques more » are used in many software application areas.
A Practical Approach to Compiler Constructioncovers the fundamental principles of the subject in an accessible way. It presents the necessary background theory and shows how it can be applied to implement complete compilers. A step-by-step approach, based on a standard compiler structure is adopted, presenting up-to-date techniques and examples. Strategies and designs are described in detail to guide the reader in implementing a translator for a programming language.
A simple high-level language, loosely based on C, is used to illustrate aspects of the compilation process. Code examples in C are included, together with discussion and illustration of how this code can be extended to cover the compilation of more complex languages. Examples are also given of the use of theflexandbisoncompilerconstruction tools. Lexical and syntax analysis is covered in detail together with a comprehensive coverage of semantic analysis, intermediate representations, optimisation and code generation. Introductory material on parallelisation is also included.
Designed for personal study as well as for use in introductory undergraduate and postgraduate courses in compiler design, the author assumes that readers have a reasonable competence in programming in any high-level language. « less
This textbook provides an introduction for computational methods in bioinformatics using a spreadsheet, Python 3.4 and MySQL. Methods are shown to manipulate basic information and to execute common analytical techniques. This text is designed for the biology student that has very little experience in more » computer analysis. « less
This easy to read textbook provides an introduction to computer architecture, while focusing on the essential aspects of hardware that programmers need to know. The topics are explained from a programmer’s point of view, and the text emphasizes consequences for programmers. Divided in five parts, the more » book covers the basics of digital logic, gates, and data paths, as well as the three primary aspects of architecture: processors, memories, and I/O systems. The book also covers advanced topics of parallelism, pipelining, power and energy, and performance. A hands-on lab is also included. The second edition contains three new chapters as well as changes and updates throughout. « less
Proceedings of the 4th International Conference on Quantitative Logic and Soft Computing
This book is the proceedings of the Fourth International Conference on Quantitative Logic and Soft Computing (QLSC2016) held 14-17, October, 2016 in Zhejiang Sci-Tech University, Hangzhou, China. It includes 61 papers, of which 5 are plenary talks( 3 abstracts and 2 full length talks). QLSC2016 was the more » fourth in a series of conferences on Quantitative Logic and Soft Computing. This conference was a major symposium for scientists, engineers and practitioners to present their updated results, ideas, developments and applications in all areas of quantitative logic and soft computing. The book aims to strengthen relations between industry research laboratories and universities in fields such as quantitative logic and soft computing worldwide as follows:
(1) Quantitative Logic and Uncertainty Logic;
(2) Automata and Quantification of Software;
(3) Fuzzy Connectives and Fuzzy Reasoning;
(4) Fuzzy Logical Algebras;
(5) Artificial Intelligence and Soft Computing;
(6) Fuzzy Sets Theory and Applications. « less
Your ultimate resource for getting up and running with Python numerical computations Explore numerical computing and mathematical libraries using Python 3.x code with SciPy and NumPy modules A hands-on guide to implementing mathematics with Python, with complete coverage of all the key more » concepts
Python can be used for more than just general-purpose programming. It is a free, open source language and environment that has tremendous potential for use within the domain of scientific computing. This book presents Python in tight connection with mathematical applications and demonstrates how to use various concepts in Python for computing purposes, including examples with the latest version of Python 3. Python is an effective tool to use when coupling scientific computing and mathematics and this book will teach you how to use it for linear algebra, arrays, plotting, iterating, functions, polynomials, and much more.
What you will learn
* The principal syntactical elements of Python
* The most important and basic types in Python
* The essential building blocks of computational mathematics, linear algebra, and related Python objects
* Plot in Python using matplotlib to create high quality figures and graphics to draw and visualize your results
* Define and use functions and learn to treat them as objects
* How and when to correctly apply object-oriented programming for scientific computing in Python
* Handle exceptions, which are an important part of writing reliable and usable code
* Two aspects of testing for scientific programming: Manual and Automatic
About the Author
Claus Fuhrer is a professor of scientific computations at Lund University, Sweden. He has an extensive teaching record that includes intensive programming courses in numerical analysis and engineering mathematics across various levels in many different countries and teaching environments. Claus also develops numerical software in research « less
This book provides formal and informal definitions and taxonomies for self-aware computing systems, and explains how self-aware computing relates to many existing subfields of computer science, especially software engineering. It describes architectures and algorithms for self-aware systems as well as more » the benefits and pitfalls of self-awareness, and reviews much of the latest relevant research across a wide array of disciplines, including open research challenges.
The chapters of this book are organized into five parts: Introduction, System Architectures, Methods and Algorithms, Applications and Case Studies, and Outlook. Part I offers an introduction that defines self-aware computing systems from multiple perspectives, and establishes a formal definition, a taxonomy and a set of reference scenarios that help to unify the remaining chapters. Next, Part II explores architectures for self-aware computing systems, such as generic concepts and notations that allow a wide range of self-aware system architectures to be described and compared with both isolated and interacting systems. It also reviews the current state of reference architectures, architectural frameworks, and languages for self-aware systems. Part III focuses on methods and algorithms for self-aware computing systems by addressing issues pertaining to system design, like modeling, synthesis and verification. It also examines topics such as adaptation, benchmarks and metrics. Part IV then presents applications and case studies in various domains including cloud computing, data centers, cyber-physical systems, and the degree to which self-aware computing approaches have been adopted within those domains. Lastly, Part V surveys open challenges and future research directions for self-aware computing systems.
It can be used as a handbook for professionals and researchers working in areas related to self-aware computing, and can also serve as an advanced textbook for lecturers and postgraduate students studying subjects like advanced software engineering, autonomic computing, self-adaptive systems, and data-center resource management. Each chapter is largely self-contained, and offers plenty of references for anyone wishing to pursue the topic more deeply. « less
Changing the future of mankind through creative logical art, one bit at a time
A uniquely designed course to take anyone from absolute basics through to an expert level in software engineering by providing a solid foundation and understanding of software as well as programming concepts and system design principles.
The content includes the following:
- Human & Computer Evolution
- more » Internet History & Numbering Systems
- Hardware & Software
- Software Industry & Development
- Setup & Development Environment
- Programming Terminology
- System Development Life Cycle
- Full Programming Course
- Maintenance & Scalability
- System Design
- Software Engineering
This 230 page course is very special in having a well defined structure to take you through from a high overview of the software industry to in-depth programming concepts in order to ensure that you can walk away and start a proper career in software or significantly improve on your system design. While the content covers in-depth technical information, the course is simple and easily understandable so that you can get abstract concepts and actually use the information to grow and gain value in your personal life.
The content is also much more than just technical in providing you insight and value as a person with a course built to inspire a new mentality for self improvement and personal growth. The content of the course is of a university level including many years in the industry and the cost is significantly undervalued so that anyone around the world has opportunity to educate themselves. The value you gain from this course will have you walk away a changed person. « less
From Data to ROI
Although big data technologies have been available for the past ten years, they’re still undergoing rapid development. For companies just entering this field, this practical book delivers advice for every stage of the big data project development cycle. You’ll learn patterns that apply to pre-project more » preparations, setting a project’s core architecture on the right track, and a building organization culture that is agile and innovative.
Ideal for CIOs, COOs, VPs, directors, lead architects, project managers, and lead developers alike, Solutions Architecture contains three sections that address different parts of the software development lifecycle with patterns that build upon each other to maximize success throughout the life of the project.
With this book, you’ll learn how to:
* Lower overall project risk
* Shorten time to ROI
* Extend the life of architecture usefulness through good designs and flexibility
* Build a culture that produces innovation and builds up one another
* Isolate and recover from failures or requirement changes « less
What You Need to Know about Computers, the Internet, Privacy, and Security
Computers are everywhere. Some of them are highly visible, in laptops, tablets, cell phones, and smart watches. But most are invisible, like those in appliances, cars, medical equipment, transportation systems, power grids, and weapons. We never see the myriad computers that quietly collect, share, and more » sometimes leak vast amounts of personal data about us. Through computers, governments and companies increasingly monitor what we do. Social networks and advertisers know far more about us than we should be comfortable with, using information we freely give them. Criminals have all-too-easy access to our data. Do we truly understand the power of computers in our world?
Understanding the Digital World explains how computer hardware, software, networks, and systems work. Topics include how computers are built and how they compute; what programming is and why it is difficult; how the Internet and the web operate; and how all of these affect our security, privacy, property, and other important social, political, and economic issues. This book also touches on fundamental ideas from computer science and some of the inherent limitations of computers. It includes numerous color illustrations, notes on sources for further exploration, and a glossary to explain technical terms and buzzwords.
Understanding the Digital World is a must-read for all who want to know more about computers and communications. It explains, precisely and carefully, not only how they operate but also how they influence our daily lives, in terms anyone can understand, no matter what their experience and knowledge of technology. « less
Fundamentals and Principles of Computer Design
Not only does almost everyone in the civilized world use a personal computer, smartphone, and/or tablet on a daily basis to communicate with others and access information, but virtually every other modern appliance, vehicle, or other device has one or more computers embedded inside it. One cannot purchase more » a current-model automobile, for example, without several computers on board to do everything from monitoring exhaust emissions, to operating the anti-lock brakes, to telling the transmission when to shift, and so on. Appliances such as clothes washers and dryers, microwave ovens, refrigerators, etc. are almost all digitally controlled. Gaming consoles like Xbox, PlayStation, and Wii are powerful computer systems with enhanced capabilities for user interaction. Computers are everywhere, even when we don’t see them as such, and it is more important than ever for students who will soon enter the workforce to understand how they work.
This book is completely updated and revised for a one-semester upper level undergraduate course in Computer Architecture, and suitable for use in an undergraduate CS, EE, or CE curriculum at the junior or senior level. Students should have had a course(s) covering introductory topics in digital logic and computer organization. While this is not a text for a programming course, the reader should be familiar with computer programming concepts in at least one language such as C, C++, or Java. Previous courses in operating systems, assembly language, and/or systems programming would be helpful, but are not essential. « less