Elimination the normalization problem in digit on-line arithmetic
IEEE Transactions on Computers
Journal of the ACM (JACM)
Function Evaluation in Unnormalized Arithmetic
Journal of the ACM (JACM)
Number Base Conversion in a Significant Digit Arithmetic
Journal of the ACM (JACM)
Automatic Controlled Precision Calculations
Journal of the ACM (JACM)
A Significance Rule for Multiple-Precision Arithmetic
ACM Transactions on Mathematical Software (TOMS)
FOCUS microcomputer number system
Communications of the ACM
On a divide-and-correct method for variable precision division
Communications of the ACM
Significance arithmetic on a digital computer
Communications of the ACM
On a floating-point number representation for use with algorithmic languages
Communications of the ACM
Numerical analysis I: Function evaluation in unnormalized arithmetic
ACM '62 Proceedings of the 1962 ACM national conference on Digest of technical papers
Decimal Adder with Signed Digit Arithmetic
IEEE Transactions on Computers
Normalized floating-point arithmetic with an index of significance
IRE-AIEE-ACM '59 (Eastern) Papers presented at the December 1-3, 1959, eastern joint IRE-AIEE-ACM computer conference
The Maniac III arithmetic system
AIEE-IRE '62 (Spring) Proceedings of the May 1-3, 1962, spring joint computer conference
AFIPS '65 (Fall, part I) Proceedings of the November 30--December 1, 1965, fall joint computer conference, part I
Binary-compatible signed-digit arithmetic
AFIPS '64 (Fall, part I) Proceedings of the October 27-29, 1964, fall joint computer conference, part I
Dealing with the "itanium effect" (abstract only)
Proceedings of the 19th ACM/SIGDA international symposium on Field programmable gate arrays
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Algorithms for floating point computer arithmetic are described, in which fractional parts are not subject to the usual normalization convention. These algorithms give results in a form which furnishes some indication of their degree of precision. An analysis of one-stage error propagation is developed for each operation; a suggested statistical model for long-run error propagation is also set forth.