1970
DOI: 10.1145/362349.362368
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Algorithm 380: in-situ transposition of a rectangular matrix [F1]

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Cited by 16 publications
(9 citation statements)
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“…end end end A special case of the permutation problem arises in the transposition of a rectangular matrix without using extra storage [2,3]. In case the matrix A [i,j], i = l(1)m and j = l(1)n is columnwise mapped onto a vector VEC [k], k=l(1)m.n, G=m.n, the function f is defined as follows in ALGOL-60:…”
Section: Wr:= Veo[kn]; Vl~c[kn] := Vf~c[k]; Vec[k] := Wrmentioning
confidence: 99%
“…end end end A special case of the permutation problem arises in the transposition of a rectangular matrix without using extra storage [2,3]. In case the matrix A [i,j], i = l(1)m and j = l(1)n is columnwise mapped onto a vector VEC [k], k=l(1)m.n, G=m.n, the function f is defined as follows in ALGOL-60:…”
Section: Wr:= Veo[kn]; Vl~c[kn] := Vf~c[k]; Vec[k] := Wrmentioning
confidence: 99%
“…We now describe the overall features of Algorithm MIPT by further contrasting it to the three earlier algorithms [6,8,9].…”
Section: Some Details On Algorithm Miptmentioning
confidence: 99%
“…Both Brenner [8] and later Cate and Twigg [9] improved Laflin and Brebner's algorithm [6] by combining the dual and self dual cases into a single processing case. Brenner went further when he applied some elementary Abelian group theory: the natural numbers 0 < i < mn partition into n d Abelian groups where n d is the number of divisors d of φ(q); φ is Euler's phi function.…”
Section: Some Details On Algorithm Miptmentioning
confidence: 99%
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