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Experimental Mathematics: Examples, Methods and Implications

Experimental mathematics: examples, methods and implications
Authors: Bailey, David H.; Borwein, Jonathan M.;

Experimental Mathematics: Examples, Methods and Implications

Abstract

Recently one can observe the increasing popularity of experimental mathematics, namely the use of modern computer programs and equipments in theoretical mathematical research. It is very popular to use such tools in number theory, algebra, analysis, geometry and even topology, to perform calculus manipulations, to test conjectures and visualize results. The authors describe some of the key techniques used in experimental mathematics such as the PSLQ algorithm of \textit{H. R. P. Ferguson} and \textit{D. H. Bailey} and \textit{S. Arno} [Math. Comput. 68, 351--369 (1999; Zbl 0927.11055)] and arbitrary digit calculation formulas. They give several interesting examples of experimental mathematics and discuss its implications. The most important is that there are many mathematical truths that they have no good reasons in traditional rational sense and ``computer experiments can provide precisely the sort of evidence that is required''. The paper is must-read for anyone who wants to use computers in pure mathematical research.

Keywords

Geometry, General and miscellaneous//mathematics, mathematical tools, Symbolic computation and algebraic computation, Topology, 510, methods, and information science, computing, Complexity and performance of numerical algorithms, Experimental Mathematics, General and miscellaneous//mathematics, computing, and information science, Methodology of mathematics, Mathematics Experimental Mathematics, Computers, experimental mathematics, Computing, 99 General And Miscellaneous//Mathematics, computer experiments, testing, 004, Algebra, computer technology, PSLQ algorithm, research tools, And Information Science

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
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