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Introduction to Programming with Fortran: with coverage of Fortran 90, 95, 2003 and 77
Introduction to Programming with Fortran - with coverage of Fortran 90, 95, 2003 and 77
MATLAB - Modelling, Programming and Simulations
-MATLAB: Modelling, Programming and Simulations- ed. by Emilson Pereira Leite (Repost)
Introduction to Programming with Fortran: with coverage of Fortran 90, 95, 2003 and 77 [Repost]
An Introduction to Programming and Numerical Methods in MATLAB [Repost]
"MATLAB: Modelling, Programming and Simulations" ed. by Emilson Pereira Leite (Repost)
Programming Social Applications: Building Viral Experiences with OpenSocial, OAuth, OpenID, and Distributed Web... (repost)
MATLAB Programming for Engineers (2nd edition) [Repost]
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Programming Computer Vision with Python - Tools and algorithms for analyzing images
Matlab: A Practical Introduction to Programming and Problem Solving (2nd edition) [Repost]
ECOOP 2011 - Object-Oriented Programming
Mobile JavaScript Application Development - Bringing Web Programming to Mobile Devices [Paperback]
Concurrent Programming on Windows (repost)
Expert WSS 3.0 and MOSS 2007 Programming (repost)
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OpenCV 2 Computer Vision Application Programming Cookbook
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Programming Introduction to Databases: From Biological to Spatio-Temporal (Texts in Computer Science)
Posted on 2010-03-16
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More Peter Revesz "Introduction to Databases: From Biological to Spatio-Temporal (Texts in Computer Science)" This textbook reveals the workings of numerous database systems, enabling readers to develop complex database applications. Students will gain hands-on experience by following the exercises. The theory is complemented by detailed examination of specific applications from a broad range of areas. The text assumes only basic discrete mathematics, linear algebra, and programming knowledge. Features: Provides descriptions of 11 types of databases, and 2 database systems; Concludes each chapter with bibliographic notes and exercises; Examines database design, including issues of database interoperability, data integration, interpolation and approximation, and prediction and data mining; Presents course aids at a supporting website; Covers topics on indexing methods, data visualization, the safety of queries, general evaluation algorithms, the efficient implementation of evaluation algorithms, and the complexity of the evaluation of different types of queries; Structured to allow for flexible course design. To start download click HERE: >>> Download many interesting free eBooks HERE <<< No another mirrors, please! >>> Read RULES
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