We are testing out a policy. When we go to the shelf for a work related book, we make note of it in the list below, including a brief annotation of what's there and how the book might be useful. The books on the list range from classics to think pieces to recipe books on a particular subject. The criteria for appearing here is that we found the book useful in some way and want to capture that. We are sharing this on our web site because the information might be useful to others as well. Books are listed alphabetically by title, but Ctrl-F is your friend. Advanced Engineering Mathematics, Erwin Kreysig, Wiley, 1972 (newer editions exist).
An Introduction to Mathematical Modeling, Edward A. Bender, Dover, 2000 (original edition 1978).
, Eugene Isaacson and Herbert Keller, Dover, 2012 (original edition 1966).Analysis of Numerical Methods
Approximation Theory and Approximation Practice, Lloyd N. Trefethen, SIAM, 2012.
Big Data, Viktor Mayer-Schonberger and Kenneth Cukier, Mariner Books, 2013.
Bioinformatics for Dummies, Jean-Michel Claverie and Cedric Nortedame, Wiley, 2003.
Chebyshev and Fourier Spectral Methods, John P. Boyd, Dover 1969 (Dover edition 2001).
Differential Equations with Mathematica, Martha L. Abell and James P. Braselton, Academic Press, 1997.
Distribution Theory and Transform Analysis: An introduction to Generalized Functions with Applications, A.H. Zemanian, Dover, 1965 (Dover edition 1987).
Elementary Numerical Computing with Mathematica, Robert D. Skeel and Jerry B. Keiper, McGraw-Hill, 1993 (later editons exist).
Fact-based Branding in the Real World: A Simple Survival Guide for CMOs and Brand Managers, Rolf Wulfsberg, Siegel and Gale, 2012.
The Fifth Discipline: The Art and Practice of the Learning Organization, Peter M. Senge, Doubleday, 1990.
Functional Programming in Scala, Paul Chiusano and Runar Bjarnason, Manning, 2015.
Introduction to Ordinary Differential Equations, Shepley L. Ross, Xerox, 1966.
Linear Algebra Done Right, Sheldon Axler, Springer, 2004.
Mathematica by Example, Martha L. Abell and James P. Braselton, Academic Press, 1997.
Mathematica Data Visualization, Nazmus Saquib, Packt, 2014.Current. Takes over where , Heikki Ruskeepaa, Academic Press, 1999.Mathematica Navigator: Graphics and Methods of Applied Mathematics
Mathematica Graphics: Techniques and Applications, Tom Wickham-Jones, Springer, 1994.
Matrix Computations, Gene Golub and Charles Van Loan, 2012 (several earlier editions cover almost identical material).A good reference on the subject but notoriously difficult to learn from. Trefethen's Numerical Linear Algebra is a good source for learning the material. Max-Plus Methods for Nonlinear Control and Estimation, William M. McEneaney, Birkhauser, 2006.
Neo4J in Action, Aleksa Vukotic and Nicki Watt, Manning, 2015.
Numerical Analysis: Mathematics of Scientific Computing, David Kincaid and Ward Cheney, Brooks/Cole, 2002.
Numerical Linear Algebra, Lloyd Trefethen and David Bau, SIAM, 1997.
PowerShift: Knowledge, Wealth, and Violence at the Edge of the 21st Century, Alvin Toffler, Bantam, 1991.
Practical Data Science with R, Nina Zumel and John Mount, Manning, 2014.
R in Action: Data analysis and graphics with R, Robert I. Kabacoff, Manning, 2015.
Spectral Methods in Matlab, Lloyd N. Trefethen, SIAM 2000.
Why Information Grows: The Evolution of Order, from Atoms to Economies, Cesar Hidalgo, Basic Books, 2015.
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