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Albert is used to study new non-associative algebras. This repository contains performance updates to the original code.

Home Page: http://people.cs.clemson.edu/~dpj/albertstuff/albert.html

Shell 0.66% C++ 89.96% Python 0.53% C 6.71% Objective-C 0.82% Makefile 0.90% CMake 0.42%

albertcopy's Introduction

Albert is an interactive program to assist the specialist in the study of nonassociative algebra. The program was first designed and implemented at Clemson University about 1990 by D. Jacobs and S.V. Muddana, with assistance from A.J. Offutt, under an NSF grant. Enhancements have been made by K. Prabhu, D. Lee, and T. Whiteley. K.A. Vander Velden improved memory usage and enhanced performance. The main problem addressed by Albert is the recognition of polynomial identities in varieties of nonassociative algebras. 


This repository is an update to the Albert package

	-rw-rw-r--. 1 kent kent 184634 Sep  5  2008 alberttar.gz

retrieved from

	http://people.cs.clemson.edu/~dpj/albertstuff/albert.html
	http://people.cs.clemson.edu/~dpj/albertstuff/obtaining.html

on Feb. 2, 2014


For best performance, it is recommended that Albert be compiled in two stages. The first stage collects execution statistics that GCC can use in the second stage. To do this, edit the Makefile to enable the following options, compile, and perform an example of your typical work in Albert. This is most easily done by executing the ./profiled_make.sh command which compiles Albert, collects profiling information, and rebuild Albert optimizing using the profiling information.


Dependencies

To compile Albert, the development version of libreadline must be available. The installation method may vary between operating systems. E.g., on Ubuntu, the following operation must be run.

  apt install libreadline-dev

Both Cmake and Makefile options are available, but the recommendation for most people is to use ./profiled_make.sh if performance is critical.

albertcopy's People

Contributors

kentavv avatar mwisslead avatar

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