Learn IT - Books tags algorithms

Wireless Communications: Signal Processing Perspectives

Prentice Hall, 1998

Signal processing algorithms and architectures have an increasingly important role to play in meeting the central challenges faced in the design of advanced wireless communication systems. In Wireless Communications: Signal Processing Perspectives, leaders in the field describe state-of-the-art research in applying signal processing methodologies...

Emerging Spatial Information Systems and Applications

IGI Global, 2006

Spatial information systems were created manually for many years. For example, historically, the source of cholera in London in 1854 was found by John Snow, by mapping where victims of the disease lived. The graph clearly showed them to be close to the Broad Street Pump,1 one of the city’s water wells. Another example is Zipf’s Law,2...

Managing Worldwide Operations and Communications With Information Technology

IGI Global, 2007

A data warehouse consists of a set of materialized views that contain derived data from several data sources. Materialized views are beneficial because they allow efficient retrieval of summary data. However, materialized views need to be refreshed periodically in order to avoid staleness. During a materialized view refresh only changes to the base...

Packet Forwarding Technologies

Auerbach Publications, 2007

As Internet traffic continues to grow exponentially, there is a great need to build Internet protocol (IP) routers with high-speed and high-capacity packet networking capabilities. The first book to explore this subject, Packet Forwarding Technologies explains in depth packet forwarding concepts and implementation technologies. It...

Information Retrieval - SciFinder

John Wiley & Sons, 2009

SciFinder^® is rapidly becoming a preferred means to access scientific information in industry and universities worldwide. It accesses databases which span the chemical, engineering, life, medical, and physical sciences, including five Chemical Abstract Service databases and the National Library of Medicine bibliographic database...

Knowledge-Free and Learning-Based Methods in Intelligent Game Playing

Springer, 2010

The book is focused on the developments and prospective challenging problems in the area of mind game playing (i.e. playing games that require mental skills) using Computational Intelligence (CI) methods, mainly neural networks, genetic/evolutionary programming and reinforcement learning. The majority of discussed game playing ideas were...

Image Fusion: Theories, Techniques and Applications

Springer, 2010

This textbook provides a comprehensive introduction to the theories, techniques and applications of image fusion. It is aimed at advanced undergraduate and first-year graduate students in electrical engineering and computer science. It should also be useful to practicing engineers who wish to learn the concepts of image fusion and use them in...

Discrete Mathematics for Computer Science

Brooks Cole, 2005

As the discipline of computer science has matured, it has become clear that a study of discrete mathematical topics is an essential part of the computer science major. The course in discrete structures has two primary aims. The first is to introduce students to the rich mathematical structures that naturally describe much of the content of...

Unobstructed Shortest Paths in Polyhedral Environments (Lecture Notes in Computer Science)

Springer, 1987

The study of minimum paths on or around polyhedra in Euclidean 3-space is of growing importance in robotics. This work presents new algorithms based on extensions of the Voronoi diagram. Since experience with new algo- rithms is also important, this work also describes a workbench to allow experimentation.

This book is...

Practical Scientific Computing (Woodhead Publishing in Mathematics)

Woodhead Publishing, 2011

Scientific computing is about developing mathematical models, numerical methods and computer implementations to study and solve real problems in science, engineering, business and even social sciences. Mathematical modeling requires deep understanding of classical numerical methods. There are a number of commercial and open...

Automated Scheduling and Planning: From Theory to Practice (Studies in Computational Intelligence)

Springer, 2013

Solving scheduling problems has long presented a challenge for computer scientists and operations researchers. The field continues to expand as researchers and practitioners examine ever more challenging problems and develop automated methods capable of solving them. This book provides 11 case studies in automated scheduling, submitted by...

Applied Natural Language Processing with Python: Implementing Machine Learning and Deep Learning Algorithms for Natural Language Processing

Apress, 2018

Learn to harness the power of AI for natural language processing, performing tasks such as spell check, text summarization, document classification, and natural language generation. Along the way, you will learn the skills to implement these methods in larger infrastructures to replace existing code or create new...

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