Algorithms to reveal properties of floating-point arithmetic
Communications of the ACM
Environment enquiries (pages missing from print)
ACM SIGNUM Newsletter
Algorithm 665: Machar: a subroutine to dynamically determined machine parameters
ACM Transactions on Mathematical Software (TOMS)
Floating point attributes in Ada
ACM SIGAda Ada Letters - Special issue on Ada numerics standardization and testing
ACM Transactions on Mathematical Software (TOMS)
A comment on the Eispack machine epsilon routine
ACM SIGNUM Newsletter
Algorithms to Reveal the Representation of Characters, Integers, and Floating-Point Numbers
ACM Transactions on Mathematical Software (TOMS)
The PORT Mathematical Subroutine Library
ACM Transactions on Mathematical Software (TOMS)
A Simple but Realistic Model of Floating-Point Computation
ACM Transactions on Mathematical Software (TOMS)
Impact of the proposed IEEE floating point standard on numerical software
ACM SIGNUM Newsletter
Software basics for computational mathematics
ACM SIGNUM Newsletter
Algorithms to reveal graphic terminal characteristics
SIGGRAPH '75 Proceedings of the 2nd annual conference on Computer graphics and interactive techniques
Analysis of Rounding Methods in Floating-Point Arithmetic
IEEE Transactions on Computers
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In the interests of producing portable mathematical software, it is highly desirable for a program to be able directly to obtain fundamental properties of the environment in which it is to run. The installer would then not be obliged to change appropriate magic constants in the source code, and the user would not have to provide information he may very well not understand. Until the standard definitions of programming languages are changed to require builtin functions that provide this information [1, 3], we will have to resort to writing routines that discover it.