Sentence examples for methods for multiplication from inspiring English sources
The latter contains three treatises, Chengchu tongbian benmo (1274; "Fundament and Periphery for Continuity and Change in Multiplication and Division"), Tianmu bilei chengchu jiefa (1275; "Quick Methods for Multiplication and Division in Surveying and Analogous Categories"), and Xu gu zhai qi suan fa (1275; "Selection of Strange Mathematical Methods in Continuation of Antiquity").
Further speed comparisons of compressor adders with traditional ones and proposed multiplier with popular methods for multiplication are shown.
To analyze the uncertainty conveniently, we use two parts to divide the different parts of all the approximation methods for multiplication, which include AATRE, AACHA, and AASEE.
To solve this problem, Stolfi and de Figueiredo [22] proposed affine approximation methods for multiplication, which include trivial range estimation (AATRE) and Chebyshev approximation (AACHA).
This paper presents an affine approximation method for multiplication, which achieves better trade-off between accuracy and computational complexity.
This paper presents a novel affine approximation method for multiplication, Approximation Affine based on Space Extreme Estimation.
Our project has demonstrated the efficiency of Urdhava-Tiryagbhyam method for multiplication which conveys a distinction in the real procedure of multiplication itself.
Rodrigues (2006) derived the adjoint equations in a much neater way, and provided a method for multiplication of a vector by the sensitivity matrix or its transpose.
Unfortunately, conventional propagation is slow and difficult, suggesting in vitro methods for mass multiplication may be more appropriate.
In order to implement such a function it is useful to introduce the basic methods for binary multiplication from first principles so that the implemented approaches can be understood.
Experiments show that recursive adaptive methods for matrix multiplication, hybrid recursive iterative methods for triangular system solve and tile recursive versions of the PLUQ decomposition, together with various data mapping policies, provide the best performance on a 32 cores NUMA architecture.
