Guest Column

Author:

Limaye N.1,Srinivasan S.2,Tavenas S.3

Affiliation:

1. ITU Copenhagen, Denmark

2. Aarhus University, Denmark

3. Univ. Grenoble Alpes, Univ. Savoie Mont Blanc, CNRS, LAMA, France

Abstract

Given a polynomial fpx1; : : : ; xNq, we can wonder how we can evaluate it with a minimal number of arithmetic operations. Indeed, the task of the algorithm designer is to nd evolved processes which decrease this number. In the other direction, it could be interesting to be able to prove that there is no algorithm which does the computation in less than some number of operations. But how one could prove something like that? We will present here some methods which allow us to tackle the problem in the case of constant-depth algebraic circuits.

Publisher

Association for Computing Machinery (ACM)

Subject

General Materials Science

Reference67 articles.

1. Primality and identity testing via Chinese remaindering

2. ∑11-Formulae on finite structures

3. PRIMES is in P

4. Arithmetic Circuits: A Chasm at Depth Four

5. [AW21] Josh Alman and Virginia Vassilevska Williams . A re ned laser method and faster matrix multiplication . In Proceedings of Symposium on Discrete Algorithms , pages 522 - 539 . SIAM, 2021 . [AW21] Josh Alman and Virginia Vassilevska Williams. A re ned laser method and faster matrix multiplication. In Proceedings of Symposium on Discrete Algorithms, pages 522-539. SIAM, 2021.

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