Truncated normal forms for solving polynomial systems: Generalized and efficient algorithms

نویسندگان

چکیده

We consider the problem of finding isolated common roots a set polynomial functions defining zero-dimensional ideal I in ring R polynomials over C. Normal form algorithms provide an algebraic approach to solve this problem. The framework presented Telen et al. (2018) uses truncated normal forms (TNFs) compute algebra structure R/I and solutions I. This allows for use much more general bases than standard monomials R/I. is exploited paper introduce two special (non-monomial) types basis with nice properties. us, instance, adapt expected location also propose efficient computation TNFs generalization construction case non-generic systems. potential TNF method usefulness new results are exposed by many experiments.

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

Stable normal forms for polynomial system solving

This paper describes and analyzes a method for computing border bases of a zero-dimensional ideal I . The criterion used in the computation involves specific commutation polynomials and leads to an algorithm and an implementation extending the one provided in [29]. This general border basis algorithm weakens the monomial ordering requirement for Gröbner bases computations. It is up to date the ...

متن کامل

Efficient Algorithms for Solving Overdefined Systems of Multivariate Polynomial Equations

The security of many recently proposed cryptosystems is based on the difficulty of solving large systems of quadratic multivariate polynomial equations. This problem is NP-hard over any field. When the number of equations m is the same as the number of unknowns n the best known algorithms are exhaustive search for small fields, and a Gröbner base algorithm for large fields. Gröbner base algorit...

متن کامل

Fast Algorithms for Polynomial Systems Solving

Solving a system of polynomial equations with a finite number of solutions can be reduced to linear algebra manipulations in an algebra A of finite type. We show how to accelerate this linear algebra phase in order to compute a “rational parameterization” of the zeros of the polynomial system. We propose new algorithmic solutions by extending ideas introduced by V. Shoup in the context of the f...

متن کامل

Output-sensitive modular algorithms for polynomial matrix normal forms

We give modular algorithms to compute row-reduced forms, weak Popov forms, and Popov forms of polynomial matrices, as well as the corresponding unimodular transformation matrices. Our algorithms improve on existing fraction-free algorithms. In each case we define lucky homomorphisms, determine the appropriate normalization, as well as bound the number of homomorphic images required. The algorit...

متن کامل

Polynomial and Linearized Normal Forms for Almost Periodic Differential Systems

For almost periodic differential systems ẋ = εf(x, t, ε) with x ∈ Cn, t ∈ R and ε > 0 small enough, we get a polynomial normal form in a neighborhood of a hyperbolic singular point of the system ẋ = ε limT→∞ 1 T ∫ T 0 f(x, t, 0) dt, if its eigenvalues are in the Poincaré domain. The normal form linearizes if the real part of the eigenvalues are non–resonant.

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: Journal of Symbolic Computation

سال: 2021

ISSN: ['1095-855X', '0747-7171']

DOI: https://doi.org/10.1016/j.jsc.2019.10.009