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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]
Sriranga Veeraraghavan, "Sams Teach Yourself Shell Programming in 24 Hours" (Repost)
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)
Embedded Software Design and Programming of Multiprocessor System-on-Chip (repost)
OpenCV 2 Computer Vision Application Programming Cookbook
Programming Computer Vision with Python: Tools and algorithms for analyzing images
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Warren's Abstract Machine: A Tutorial Reconstruction (Logic Programming)
Posted on 2010-07-12
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More Hassan Ait-Kaci, "" This tutorial demystifies one of the most important yet poorly understood aspects of logic programming, the Warren Abstract Machine or WAM. The author's step-by-step construction of the WAM adds features in a gradual manner, clarifying the complex aspects of the design and providing the first detailed study of WAM since it was designed in 1983. Developed by David H. D. Warren, the WAM is an abstract (nonphysical) computer that aids in the compilation and implementation of the Prolog programming language and offers techniques for compiling and optimizing symbolic computing that can be generalized beyond Prolog. Although the benefits of the WAM design have been widely accepted, few have been able to penetrate the WAM. This lucid introduction defines separate abstract machines for each conceptually separate part of the design and refines them, finally stitching them together to make a WAM. An index presents all of the critical concepts used in the WAM. It is assumed that readers have a clear understanding of the operational semantics of Prolog, in particular, of unification and backtracking, but a brief summary of the necessary Prolog notions is provided. Contents: Introduction. Unification—Pure and Simple. Flat Resolution. Prolog. Optimizing the Design. Conclusion. Appendixes. Download
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