Common LISP: the language
ACM SIGSAM Bulletin
Graphing elementary Riemann surfaces
ACM SIGSAM Bulletin
Riemann surfaces, plane algebraic curves and their period matrices
Journal of Symbolic Computation - Special issue on symbolic numeric algebra for polynomials
An exact real algebraic arithmetic with equality determination
ISSAC '00 Proceedings of the 2000 international symposium on Symbolic and algebraic computation
“According to Abramowitz and Stegun” or arccoth needn't be uncouth
ACM SIGSAM Bulletin - Special issue of OpenMath
Algebraic Simplification of Multiple-Valued Functions
DISCO '92 Proceedings of the International Symposium on Design and Implementation of Symbolic Computation Systems
Handbook of Mathematical Functions, With Formulas, Graphs, and Mathematical Tables,
Handbook of Mathematical Functions, With Formulas, Graphs, and Mathematical Tables,
MKM from Book to Computer: A Case Study
MKM '03 Proceedings of the Second International Conference on Mathematical Knowledge Management
Towards better simplification of elementary functions
Proceedings of the 2002 international symposium on Symbolic and algebraic computation
A poly-algorithmic approach to simplifying elementary functions
ISSAC '04 Proceedings of the 2004 international symposium on Symbolic and algebraic computation
Not seeing the roots for the branches: multivalued functions in computer algebra
ACM SIGSAM Bulletin
Adherence is better than adjacency: computing the Riemann index using CAD
Proceedings of the 2005 international symposium on Symbolic and algebraic computation
The meaning of infinity in calculus and computer algebra systems
Journal of Symbolic Computation
The challenges of multivalued "Functions"
AISC'10/MKM'10/Calculemus'10 Proceedings of the 10th ASIC and 9th MKM international conference, and 17th Calculemus conference on Intelligent computer mathematics
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There are many problems with the simplification of elementary functions, particularly over the complex plane, though not exclusively – see (20). Systems tend to make “howlers” or not to simplify enough. In this paper we outline the “unwinding number” approach to such problems, and show how it can be used to prevent errors and to systematise such simplification, even though we have not yet reduced the simplification process to a complete algorithm. The unsolved problems are probably more amenable to the techniques of artificial intelligence and theorem proving than the original problem of complex-variable analysis.