Handbook Of Mathematical Function With Formulas Graph Pdf

Abramowitz and Stegun, 10th Printing, December 1972, with corrections

"Abramowitz and Stegun is the informal name of a mathematical reference work edited by Milton Abramowitz and Irene Stegun of the U.S. National Bureau of Standards (now the National Institute of Standards and Technology). Its full title is Handbook of Mathematical Functions with Formulas, Graphs, and Mathematical Tables.

Since it was first published in 1964, the 1046 page Handbook has been one of the most comprehensive sources of information on special functions, containing definitions, identities, approximations, plots, and tables of values of numerous functions used in virtually all fields of applied mathematics. The notation used in the Handbook is the de facto standard for much of applied mathematics today."
http://en.wikipedia.org/wiki/Abramowitz_and_Stegun

Scientific Document Analysis and Abramowitz and Stegun

While document analysis is a rich and varied field of research, only a relatively small part of that field has been devoted to the analysis of scientific documents containing mathematics and technical diagrams. One of the problems that researchers in this sub-area are faced with is the lack of shared datasets that can be used both as test resources and for comparison of algorithms and systems.

Abramowitz and Stegun provide an excellent source of such shared data. As it was published by the United States Government Printing Office, it is copyright free and hence fully available for researchers (and anyone else) to scan, report about and make their results freely available. Its history and the respect in which scientists have held the book make it an authoritative source for many types of expressions, diagrams and tables. The fact that it was printed in the pre-LaTeX days means that it can help researchers to avoid over-tuning their systems to the much more readily available TeX/LaTeX sourced documents

This project is to develop an open, freely shareable set of resources to cover all stages and intermediate result datasets in a toolchain for document analysis of scientific documents based on a high quality scan of Abramowitz and Stegun.

A paper describing this project has been published as: Alan P. Sexton, "Abramowitz and Stegun - A Resource for Mathematical Document Analysis", In Conferences on Intelligent Computer Mathematics (CICM 2012), Springer Berlin / Heidelberg, vol. 7362, pp. 159-168, 2012. [bib] [pdf] [doi]

Copyright

As mentioned above, Abramowitz and Stegun was published by the United States Government Printing Office and is copyright free. My intention was to release my scans and various processed results as copyright free too, but have since discovered via legal advice that the act of producing the scans has created a copyright on them that can not be simply ignored. The end result is that my previous statements to that effect on this website left potential users uncertain about the legal status of the scans and were a barrier to their free use.

Therefore I release all images, data sets, data files and materials on this project web site with the Creative Commons, Attribution 3.0 Unported license (CC BY 3.0).

A Resource for Scientific Document Analysis: Abramowitz and Stegun by Alan P. Sexton is licensed under a Creative Commons Attribution 3.0 Unported License.

A different scanned copy of Abramowitz and Stegun is available from the very nice site: http://people.math.sfu.ca/~cbm/aands/. In particular, this site includes a html interface to the book as well as a downloadable pdf. For document analysis purposes, the JPG format images are less suitable than tiff and there are a few pages missing from their scan.

Acknowledgements

Thanks to Bruce Miller of the National Institute of Standards and Technology, who sent me a clean new copy of the book for scanning.

Thanks to Bruno Voisin, of the Laboratory of Geophysical and Industrial Flows (LEGI), Grenoble, France, who graciously gave me a copy of his code to create PDF bookmarks for Abramowitz and Stegun as a basis for the bookmarks in the PDFs on this page.

Scanning was carried out on an inexpensive Epson 3170 Photo scanner using XSane under Ubuntu Linux to obtain initial PNM files.

Image processing was carried out using the excellent Gamera Toolkit and the libtiff library

Contact

If you use these images in your research on document analysis or mathematical knowledge management, please let me know so that I can add links to your project on this page and can keep you informed of any updates or changes.

If you would like to provide further data on these pages, e.g. optical character recognition results, MathML output from formula recognition tools etc., please let me know so that I can add them to this page.

For further work in this area, see the Scientific Document Analysis Group web pages.

Alan P. Sexton
University of Birmingham
School of Computer Science
Email: A.P.Sexton@cs.bham.ac.uk