Computing Jacobi’s theta in quasi-linear time

نویسندگان

چکیده

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Computing Theta functions in quasi-linear time in genus two and above

We outline an algorithm to compute θ(z, τ) in genus two in quasi-linear time, borrowing ideas from the algorithm for theta constants and the one for θ(z, τ) in genus one. Our implementation shows a large speed-up for precisions as low as a few thousand decimal digits. We also lay out a strategy to generalize this algorithm to genus g.

متن کامل

Computing theta functions in quasi-linear time in genus 2 and above

We outline an algorithm to compute θ(z, τ) in genus 2 in quasi-optimal time, borrowing ideas from the algorithm for theta constants and the one for θ(z, τ) in genus 1. Our implementation shows a large speedup for precisions as low as a few thousand decimal digits. We also lay out a strategy to generalize this algorithm to genus g.

متن کامل

Computing Jacobi’s θ in quasi-linear time

Jacobi’s θ function has numerous applications in mathematics and computer science; a naive algorithm allows the computation of θ(z, τ), for z, τ verifying certain conditions, with precision P in O(M(P ) √ P ) bit operations, where M(P ) denotes the number of operations needed to multiply two complex P -bit numbers. We generalize an algorithm which computes specific values of the θ function (the...

متن کامل

Computing Cubic Fields in Quasi-Linear Time

Cubic fields (over the rationals) are the simplest non-Galois number fields and thus should be the ideal testing ground for most general “density” conjectures, such as the Cohen-Martinet heuristics. We present an efficient algorithm to generate them, up to a given discriminant bound, which we hope will prove a useful tool in their computational exploration. It all originates from the seminal pa...

متن کامل

Computing modular polynomials in quasi-linear time

We analyse and compare the complexity of several algorithms for computing modular polynomials. We show that an algorithm relying on floating point evaluation of modular functions and on interpolation, which has received little attention in the literature, has a complexity that is essentially (up to logarithmic factors) linear in the size of the computed polynomials. In particular, it obtains th...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Mathematics of Computation

سال: 2017

ISSN: 0025-5718,1088-6842

DOI: 10.1090/mcom/3245