Lie Groups, a Fantastic book by Daniel Bump
published by Springer Press 2013
This is a graduate math level text. Concise with lots of proofs. The chapters are short enough to read in one sitting. Chapter 7 goes over that a Lie group is a differential manifold.
I was asked to look for books on this topic. It was challenging to search for material with this title. This was the best book that I could find.
I look forward to exploring this topic further.
Algorithms and Computation
8th International Workshop, WALCOM 2014, Chennai, India, February 13-15, 2014, ProceedingsPal, S.P. (et al.) (Eds.)
Publication year 2014 by Springer Press
Interesting collection of papers from WALCOM conference. I would like to have been there. It is interesting to read about current research. Like Top-k Manhattan Spacial Skyline Queries.
A (k+1) Approximation Robust Flow Network Algorithm and a Tighter Heuristic Method using Iterative Multiroute Flow paper by Jean-Francois Buffier and Vorapong Suppakitpaisarn
There are many more insightful papers. I can’t wait to see what get developed next.
The Algorithm Design Manual by Steven S. Skiena published by Springer Press
This is detailed and timeless book that I keep reaching for. A useful book that I can not keep access to long enough. It is a important book to have in your library.
Unlike other algorithm books that I have the algorithms are written independent of any programming language.
Graphical models with R by Soren Hojsgaard, David Edwards and Steffen Lauritzen published by Springer
I have been to a lot of talks lately on graphing social networks. Most of the code has been in python. I was happy to find this book written in R.
gRbase is the package for the book.
Most of the packages used in the book are on cran. The missing few dependencies are on bioconductor.org. Links to the site are on the gRbase part of cran. With some fiddling I got everything to work correctly.
Chapter 2.3.5 covers Hypothesis testing with graphical models.
I have been busy working thru all the examples in the book. Making lots of big spidery graphs that make sense. I am pleased with the mix a theory and code in this book.
I am thinking about what data to use with the code for an upcoming talk that I am giving.