Abstract. We describe the implementation of the reciprocal square root — also called inverse square root — as a native function in the MPFR library. The difficulty is to implement Newton’s iteration for the reciprocal square root on top’s of GNU MP’s mpn layer, while guaranteeing a rigorous 1/2 ulp bound on the roundoff error. The reciprocal square root is an important function in 3D graphics, for the normalization of 3D vectors, and as such has received much attention in the literature [5]. Indeed, given (x, y, z)
Quotients, reciprocals, square roots and square root reciprocals all have the property that infinite...
The R package Rmpfr allows to use arbitrarily precise numbers instead of R’s double precision number...
The computation of the reciprocal of a numerical value is an important ingredient of many algorithms...
We describe the implementation of the reciprocal square root --- also called inverse square root ---...
We aim at finding the best possible seed values when computing reciprocals, square-roots and square-...
International audienceThis paper presents a simple hardware architecture for computing the seed valu...
(eng) This paper deals with the computation of reciprocals, square roots, inverse square roots, and ...
International audienceWe analyze two fast and accurate algorithms recently presented by Borges for c...
We aim at finding the best possible seed values when computing reciprocals, square-roots and square-...
The Fast Reciprocal Square Root Algorithm is a well-established approximation technique consisting o...
In applications as in future MIMO communication systems a massive computation of complex matrix oper...
The reciprocal square root is an important computation for which many very sophisticated algorithms...
AbstractReciprocal and root reciprocal functions at “half” and IEEE single precision formats are spe...
: The aim of this paper is to accelerate division, square root and square root reciprocal computatio...
The reciprocal and square root reciprocal operations are important in several applications such as c...
Quotients, reciprocals, square roots and square root reciprocals all have the property that infinite...
The R package Rmpfr allows to use arbitrarily precise numbers instead of R’s double precision number...
The computation of the reciprocal of a numerical value is an important ingredient of many algorithms...
We describe the implementation of the reciprocal square root --- also called inverse square root ---...
We aim at finding the best possible seed values when computing reciprocals, square-roots and square-...
International audienceThis paper presents a simple hardware architecture for computing the seed valu...
(eng) This paper deals with the computation of reciprocals, square roots, inverse square roots, and ...
International audienceWe analyze two fast and accurate algorithms recently presented by Borges for c...
We aim at finding the best possible seed values when computing reciprocals, square-roots and square-...
The Fast Reciprocal Square Root Algorithm is a well-established approximation technique consisting o...
In applications as in future MIMO communication systems a massive computation of complex matrix oper...
The reciprocal square root is an important computation for which many very sophisticated algorithms...
AbstractReciprocal and root reciprocal functions at “half” and IEEE single precision formats are spe...
: The aim of this paper is to accelerate division, square root and square root reciprocal computatio...
The reciprocal and square root reciprocal operations are important in several applications such as c...
Quotients, reciprocals, square roots and square root reciprocals all have the property that infinite...
The R package Rmpfr allows to use arbitrarily precise numbers instead of R’s double precision number...
The computation of the reciprocal of a numerical value is an important ingredient of many algorithms...