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Oil Droplet Capture by Tunicates. [PDF]
Integr Org BiolBeaudry K, Cameron CB.
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Dipole-Driven Charge Trapping in Monolayer Janus MoSSe for Ultrathin Nonvolatile Memory Devices. [PDF]
Nanomicro LettKo EB +9 more
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Artificial Intelligence Based Clustering Algorithm for Pulse Diagnosis. [PDF]
J Multidiscip HealthcKim J +7 more
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IEEE Computer Graphics and Applications, 1997
The author discusses IEEE floating point representation that stores numbers in what amounts to scientific notation. He considers the sign bit, the logarithm function, function approximations, errors and refinements.
G.J. Hekstra, E.F.A. Deprettere
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The author discusses IEEE floating point representation that stores numbers in what amounts to scientific notation. He considers the sign bit, the logarithm function, function approximations, errors and refinements.
G.J. Hekstra, E.F.A. Deprettere
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Journal of the ACM, 1984
A new number system is proposed for computer arithmetic based on iterated exponential functions. The main advantage is to eradicate overflow and underflow, but there are several other advantages and these are described and discussed.
Clenshaw, C. W., Olver, F. W. J.
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A new number system is proposed for computer arithmetic based on iterated exponential functions. The main advantage is to eradicate overflow and underflow, but there are several other advantages and these are described and discussed.
Clenshaw, C. W., Olver, F. W. J.
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Tapered Floating Point: A New Floating-Point Representation
IEEE Transactions on Computers, 1971It is well known that there is a possible tradeoff in the binary representation of floating-point numbers in which one bit of accuracy can be gained at the cost of halving the exponent range, and vice versa. A way in which the exponent range can be greatly increased while preserving full accuracy for most computations is suggested.
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Unnormalized Floating Point Arithmetic
Journal of the ACM, 1959Algorithms 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 ...
Ashenhurst, R. L., Metropolis, N.
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Accurate floating-point operation using controlled floating-point precision
Proceedings of 2011 IEEE Pacific Rim Conference on Communications, Computers and Signal Processing, 2011Rounding and accumulation of errors when using floating point numbers are important factors in computer arithmetic. Many applications suffer from these problems. The underlying machine architecture and representation of floating point numbers play the major role in the level and value of errors in this type of calculations.
Ahmad M. Zaki +3 more
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