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Lattice multiplication, also known as the Italian method, Chinese method, Chinese lattice, gelosia multiplication, [1] sieve multiplication, shabakh, diagonally or Venetian squares, is a method of multiplication that uses a lattice to multiply two multi-digit numbers.
Lattice, or sieve, multiplication is algorithmically equivalent to long multiplication. ... This formula can in some cases be used, to make multiplication tasks ...
A lattice is an abstract structure studied in the mathematical subdisciplines of order theory and abstract algebra.It consists of a partially ordered set in which every pair of elements has a unique supremum (also called a least upper bound or join) and a unique infimum (also called a greatest lower bound or meet).
Although the original problem asks for integer lattice points in a circle, there is no reason not to consider other shapes, for example conics; indeed Dirichlet's divisor problem is the equivalent problem where the circle is replaced by the rectangular hyperbola. [3]
then the formulas for addition, multiplication, and multiplicative inverse are ... The set A is a ring (in fact a domain) and a lattice and is called the ring of ...
32) Lattice multiplication, used by Fibonacci, was made more convenient by his introduction of Napier's bones, a multiplication tool using a set of numbered rods. Napier may have worked largely in isolation, but he had contact with Tycho Brahe who corresponded with his friend John Craig.
Lattice-theoretic information about the lattice of subgroups can sometimes be used to infer information about the original group, an idea that goes back to the work of Øystein Ore (1937, 1938). For instance, as Ore proved , a group is locally cyclic if and only if its lattice of subgroups is distributive .
Multiply-with-carry PRNGs with a multiplier of a are equivalent to LCGs with a large prime modulus of ab r −1 and a power-of-2 multiplier b. A permuted congruential generator begins with a power-of-2-modulus LCG and applies an output transformation to eliminate the short period problem in the low-order bits.
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