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Arbitrary-precision arithmetic

Known as: Arbitrary-precision, Bignum arithmetic, Infinite-precision arithmetic 
In computer science, arbitrary-precision arithmetic, also called bignum arithmetic, multiple precision arithmetic, or sometimes infinite-precision… 
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Related topics

Related topics

50 relations
256-bitAnalog computerAnalysis of algorithmsArithmetic logic unit

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2015
2015
FPGA based nonlinear Support Vector Machine training using an ensemble learning
Support Vector Machines (SVMs) are powerful supervised learning methods in machine learning. However, their applicability to… 
2014
2014
Montgomery Modular Multiplication on ARM-NEON Revisited
Montgomery modular multiplication constitutes the “arithmetic foundation” of modern public-key cryptography with applications… 
2010
2010
Multi-dimensional Mass Estimation and Mass-based Clustering
Mass estimation, an alternative to density estimation, has been shown recently to be an effective base modelling mechanism for… 
1999
1999
A Real Polynomial Decision Algorithm Using Arbitrary-Precision Floating Point Arithmetic
We study the problem of deciding whether a system of real polynomial equations and inequalities has solutions, and if yes finding… 
1999
1999
Host response against biomaterials: the role in the pathogenesis of biomaterial-associated infections
Intracellular survival of Staphylococcus epidermidis inside macrophages, facilitated by the presence of a biomaterial, has been… 
1996
1996
A semidefinite bound for mixing rates of Markov chains
  • N. Kahalé
  • Random Struct. Algorithms
  • 1996
  • Corpus ID: 164767
We study the method of bounding the spectral gap of a reversible Markov chain by establishing canonical paths between the states… 
1995
1995
A sine/cosine direct digital frequency synthesizer using an angle rotation algorithm
A quadrature direct digital frequency synthesizer (DDFS) produces 16 b sine and cosine outputs with a spurious-free dynamic range… 
Highly Cited
1994
Highly Cited
1994
On the Embedding of Arbitrary Meshes in Boolean Cubes With Expansion Two Dilation Two
1992
1992
On-chip learning in the analog domain with limited precision circuits
The precision constraints imposed by gradient descent learning in the analog domain are considered. Previous studies have… 
Highly Cited
1986
Highly Cited
1986
Adaptive precision in texture mapping
We introduce an adaptive, iterative technique for obtaining texture samples of arbitrary precision when synthesizing a computer… 
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