Polynomial Algorithms in Computer Algebra by Franz Winkler

By Franz Winkler

For a number of years now i've been instructing classes in desktop algebra on the Universitat Linz, the college of Delaware, and the Universidad de Alcala de Henares. within the summers of 1990 and 1992 i've got equipped and taught summer season faculties in desktop algebra on the Universitat Linz. progressively a collection in fact notes has emerged from those actions. humans have requested me for copies of the path notes, and diverse types of them were circulating for many years. eventually i made a decision that I should still fairly make an effort to write down the cloth up in a coherent approach and make a booklet out of it. right here, now, is the results of this paintings. through the years many scholars were necessary in bettering the standard of the notes, and likewise numerous colleagues at Linz and somewhere else have contributed to it. i need to thank all of them for his or her attempt, specifically i would like to thank B. Buchberger, who taught me the idea of Grabner bases approximately twenty years in the past, B. F. Caviness and B. D. Saunders, who first influenced my curiosity in quite a few difficulties in desktop algebra, G. E. Collins, who confirmed me the right way to compute in algebraic domain names, and J. R. Sendra, with whom i began to use laptop algebra how you can difficulties in algebraic geometry. a number of colleagues have advised advancements in previous models of this booklet. notwithstanding, i would like to make it transparent that i'm liable for all ultimate mistakes.

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Extra resources for Polynomial Algorithms in Computer Algebra

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P. Henrici (1956) has devised the fastest known algorithms for arithmetic in such quotients fields. The so-called Henrici algorithms for addition and multiplication of rl/r2 and sl/s2 in Q(D) rely on the following facts. 1. Let D be a Euclidean domain, rl, r2, Sl, S2 E D, gcd(rl, r2) = gcd(sl, S2) = 1. a. If d = gcd(r2, S2), r~ = r2ld, s~ = s2ld, then gcd(rls~ + slr~, r2s~) = gcd(rls~ + slr~, d). b. If dl = gcd(rl, S2), d2 = gcd(sl, r2), r; = rl I dl, r~ = r21 d2, s; = sJ! d2, s~ = s2ldl, then gcd(r; s; , r~s~) = 1.

Develop an algorithm INT _SUM2 for adding two nonzero integers of different sign with average complexity proportional to the minimum of the lengths of the inputs. 4. Implement the multiplication algorithm of Karatsuba and Ofman and determine the trade-off point between the "classical" algorithm INT _MULTC and INT ~ULTK. 5. Let aI, a2, ... be an infinite sequence of integers with a; ::: 2 for all i. Define the functions f, g from N to lR as fen) := L~=l L(a;), g(n) := L(07=1 a;). , for some c, C E lR+, c· fen) ::: g(n) ::: C .

Suppose r = rJ/r2, s = SI/S2 E Q and the numerators and denominators are bounded by n in length. In QF _SUMC we have to compute a gcd of 2 integers of length 2n each. In QF _SUMH we first compute a gcd of 2 integers of length n each, and, if d = gcd(r2, S2) =j:. 1 and k = L(d), a gcd of integers of length 2n - k and k, respectively. , t1tLGCD(/I, 12, k) is O(min(/I, 12) . (max(ll, 12) - k + 1)). If d = 1, then the computing time for the gcd in QF_SUMC is roughly 4n 2 , whereas the gcd in QF _SUMH takes time roughly n 2 .

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