Browsing Books
pdf
www.stanford.edu
This book gives the reader a clear description of how to formulate the linear controller design problem. It also shows that a large class of linear controller design problems can be cast as convex optimization problems. ...
Stephen Boyd, Craig Barratt
pdf
www.stat.berkeley.edu
This is a great draft book about stochastic calculus and finance....
Prasad Chalasani, Somesh Jha
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www-personal.umich.edu
It's a complete robotic navigation cookbook! "This book surveys the state of the art in sensors, systems, methods and technologies utilized by a mobile robot to determine its position in the environment. The many potential "solutions" are roughly categorized into two groups: relative and absolute position measurements....
J. Borenstein, H. R. Everett, and L. Feng
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www.cs.unc.edu
OpenCV is a C/C++ computer vision library originally developed by Intel. It is free for commercial and research use under a BSD license. The library is cross-platform. It is highly optimized and intended for real-time applications....
Intel
pdf
www.jjj.de
"This is the (work in progress) book "Algorithms for Programmers". Publication as soon as possible, content is (modulo copy editing) close to final version. I will put a remark here as soon as the printed version is available. The electronic version of this book is identical to the printed (to come) version. NOTE: It will always stay online for free anonymous download....
Jörg Arndt
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www.cs.brown.edu
"The book is the textbook for the programming languages course at Brown University, which is taken primarily by third and fourth year undergraduates and beginning graduate (both MS and PhD) students. It seems very accessible to smart second year students too, and indeed those are some of my most successful students....
Shriram Krishnamurthi
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www.coding-guidelines.com
"This book contains a detailed analysis of the International Standard for the C language"...
Derek M. Jones
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www.gaussianprocess.org
"Gaussian processes (GPs) provide a principled, practical, probabilistic approach to learning in kernel machines. GPs have received increased attention in the machine-learning community over the past decade, and this book provides a long-needed systematic and unified treatment of theoretical and practical aspects of GPs in machine learning....
Carl Edward Rasmussen and Christopher K. I. Williams