This paper proposes two Reinforcement Learning (RL) approaches combined with Graph Neural Networks (GNN) for Suggesting Variable Order (SVO). One is GRL-SVO(UP) ...
This paper proposes two Reinforcement Learning (RL) approaches combined with Graph Neural Networks (GNN) for Suggesting Variable Order (SVO).
In this paper, we present a Graph-based Reinforcement Learning for Suggesting Variable Order ... for Cylindrical Algebraic Decomposition via Exploiting Chordal ...
Nov 13, 2023 · “Comparing Machine. Learning Models to Choose the Variable Ordering for. Cylindrical Algebraic Decomposition”. In: CICM 2019. Vol. 11617.
May 30, 2024 · This paper proposes two Reinforcement Learning (RL) approaches combined with Graph Neural Networks (GNN) for Suggesting Variable Order (SVO).
Feb 4, 2021 · As is well-known, the choice of variable ordering while computing CAD has a great effect on the time and memory use of the computation as well ...
The choice of variable ordering while computing cylindrical algebraic decomposition (CAD) has a great effect on the time and memory use of the computation.
Variable order selection for cylindrical algebraic decomposition based on machine learning[J]. Journal of System Science and Mathematics (Chinese). 2020, 40 ...
Missing: Suggesting | Show results with:Suggesting
• The variable ordering heuristics for Case Study A were calculated using ... a heuristic to select the variable ordering for cylindrical algebraic decomposition.
Missing: Reinforcement | Show results with:Reinforcement
Sep 1, 2024 · In this work, we make public a random dataset containing more than 20K labelled examples on suggesting the variable ordering of cylindrical ...