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Secure Communicating Systems: Design, Analysis, and ImplementationThis volume details what every computer scientist ought to know about cryptographic systems, security protocols, and secure information flow in programs. Highlights include discussions of the new advanced encryption standard "Rijndael"; an optimal public-key encryption using RSA which turns "textbook RSA" into a practical... | | The Algorithm Design ManualThis expanded and updated second edition of a classic bestseller continues to take the "mystery" out of designing and analyzing algorithms and their efficacy and efficiency. Expanding on the highly successful formula of the first edition, the book now serves as the primary textbook of choice for any algorithm design course while... | | Natural Language Processing with PythonThis book offers a highly accessible introduction to Natural Language Processing, the field that underpins a variety of language technologies, ranging from predictive text and email filtering to automatic summarization and translation. With Natural Language Processing with Python, you'll learn how to write Python programs to work with large... |
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Wireless Sensor Networks (Ian F. Akyildiz Series in Communications and Networking)
This book presents an in-depth study on the recent advances in Wireless Sensor Networks (WSNs). The authors describe the existing WSN applications and discuss the research efforts being undertaken in this field. Theoretical analysis and factors influencing protocol design are also highlighted. The authors explore state-of-the-art protocols... | | Linear Programming with MATLAB (MPS-SIAM Series on Optimization)This textbook provides a self-contained introduction to linear programming using MATLAB® software to elucidate the development of algorithms and theory. Early chapters cover linear algebra basics, the simplex method, duality, the solving of large linear problems, sensitivity analysis, and parametric linear programming. In later chapters, the... | | Linear Algebra (Textbooks in Mathematics)
What you hold in your hand or—this is the 21st century—view on screen
shouldn’t exist.
Let me explain. Mathematics is often taught by presenting students with a
broad concept, like linear independence, and then a set of tools for identifying,
using, or creating it. More rigorous courses might... |
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| | Introduction to Programming Using Python
Introduction to Programming Using Python is intended for use in the introduction to programming course.
Daniel Liang is known for his “fundamentals-first” approach to teaching programming concepts and techniques.... | | Understanding and Using Linear Programming (Universitext)From the reviews:
"The authors’ guiding phrase is ‘what every theoretical computer scientist should know about linear programming’. … this book is easy and pleasant reading. A number of examples and illustrations are provided throughout the book. … The book is well written and well organized; I recommend it... |
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