scholarly journals Satins, lattices, and extended Euclid's algorithm

Author(s):  
Josep M. Brunat ◽  
Joan-C. Lario

AbstractMotivated by the design of satins with draft of period m and step a, we draw our attention to the lattices $$L(m,a)=\langle (1,a),(0,m)\rangle$$ L ( m , a ) = ⟨ ( 1 , a ) , ( 0 , m ) ⟩ where $$1\le a<m$$ 1 ≤ a < m are integers with $$\gcd (m,a)=1$$ gcd ( m , a ) = 1 . We show that the extended Euclid's algorithm applied to m and a produces a shortest no null vector of L(m, a) and that the algorithm can be used to find an optimal basis of L(m, a). We also analyze square and symmetric satins. For square satins, the extended Euclid's algorithm produces directly the two vectors of an optimal basis. It is known that symmetric satins have either a rectangular or a rombal basis; rectangular basis are optimal, but rombal basis are not always optimal. In both cases, we give the optimal basis directly in terms of m and a.

2013 ◽  
Vol 65 (3) ◽  
pp. 1164-1178
Author(s):  
J. A. Álvarez-Bermejo ◽  
N. Antequera ◽  
J. A. López-Ramos

Author(s):  
P. P. Vaidyanathan ◽  
See-May Phoong ◽  
Yuan-Pei Lin

1967 ◽  
Vol 60 (4) ◽  
pp. 358
Author(s):  
B. L. Foster

Since integer division reduces to repeated subtraction, Euclid's algorithm for finding the greatest common divisor may be recast in terms of subtraction. This is done, for example, in Trakhtenbrot,1 for automatic machine computation.


1979 ◽  
Vol 101 (4) ◽  
pp. 582-585
Author(s):  
G. K. Matthew

A general method for finding factors common to two polynomials is developed. The process is shown to have immediate application to the removal of multiplicities when attempting to root polynomials. Computational procedures and likely difficulties are discussed.


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