Robust Symbolic-Numeric-Graphic Software

Kevin A. Broughan

Issues in the field of intelligent scientific computing are addressed from the point of view of the development of a problem solving environment. These issues include how symbolic, numeric and graphic code should be linked, how a system might be constructed so that it is robust and survives a changing environment, and whether language translators have a role in the retention of the algorithmic content of existing code. The need for a substantial numerical library in Lisp is underlined. Experience has led us to the conclusion that more homogeneity rather than less makes for stronger software.

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