Object-oriented programming for linear algebra

Authors:
J. A. McDonald
Affiliations:
Dept. of Statistics, University of Washington
Venue:
OOPSLA '89 Conference proceedings on Object-oriented programming systems, languages and applications
Year:
1989

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Abstract

Many numerical analysts and Lisp/Smalltalk programmers share the assumption that languages like Fortran are more appropriate for traditional, quantitative scientific programming than object-oriented languages. To show how straightforward application of object-oriented design to standard algorithms in numerical linear algebra improves clarity and expressiveness, without sacrificing speed or accuracy, I describe parts of Cactus, a system for numerical linear algebra and constrained optimization, implemented in Common Lisp and CLOS.