NDLI: Numerical analysis using nonprocedural paradigms

Content Provider	ACM Digital Library
Author	Sullivan, Stephen J. Zorn, Benjamin G.
Copyright Year	1995
Abstract	This article presents a survey on the innovative features of a handful of languages that offer new features that can be valuable in numerical analysis, and a survey of the pros and cons of the languages with regards to work in numerical analysis. Language features such as polymorphism, first-class functions, and object-oriented programming offer improved writability, readability, reliability, and maintenance of computer software. The article discusses language features and uses, and includes a comparison of current implementations. It is intended both as an introduction to nonprocedural language features for persons working in numerical mathematics and as an exploration of some of the language requirements of numerical mathematics for persons working in language development. The article discusses C++, Fortran 77, Fortran 90, Haskell, Lisp/CLOS, Modula-3, Sather, and SML with respect to a variety of numerical analysis tasks: interpolation, optimization, array access and update, iteration, recursion, random number generation, and Gaussian elimination on sparse matrices.
Starting Page	267
Ending Page	298
Page Count	32
File Format	PDF
ISSN	00983500
e-ISSN	15577295
DOI	10.1145/210089.210093
Volume Number	21
Issue Number	3
Journal	ACM Transactions on Mathematical Software (TOMS)
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	1995-09-01
Publisher Place	New York
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Gaussian elimination Benchmarks Experimental languages Linear algebra Programming languages Sparse matrices
Content Type	Text
Resource Type	Article
Subject	Applied Mathematics Software

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