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[PDF][PDF] SymPy: symbolic computing in Python
SymPy is an open source computer algebra system written in pure Python. It is built with a
focus on extensibility and ease of use, through both interactive and programmatic …
focus on extensibility and ease of use, through both interactive and programmatic …
[HTML][HTML] Explainable AI insights for symbolic computation: a case study on selecting the variable ordering for cylindrical algebraic decomposition
L Pickering, T del Río Almajano, M England… - Journal of Symbolic …, 2024 - Elsevier
In recent years there has been increased use of machine learning (ML) techniques within
mathematics, including symbolic computation where it may be applied safely to optimise or …
mathematics, including symbolic computation where it may be applied safely to optimise or …
Closed forms: what they are and why we care
JM Borwein, RE Crandall - Notices of the AMS, 2013 - ams.org
Closed Forms: What They Are Mathematics abounds in terms that are in frequent use yet are
rarely made precise. Two such are rigorous proof and closed form (absent the technical use …
rarely made precise. Two such are rigorous proof and closed form (absent the technical use …
RTLRewriter: Methodologies for Large Models aided RTL Code Optimization
Register Transfer Level (RTL) code optimization is crucial for enhancing the efficiency and
performance of digital circuits during early synthesis stages. Currently, optimization relies …
performance of digital circuits during early synthesis stages. Currently, optimization relies …
Applying machine learning to the problem of choosing a heuristic to select the variable ordering for cylindrical algebraic decomposition
Z Huang, M England, D Wilson, JH Davenport… - … Conference, CICM 2014 …, 2014 - Springer
Cylindrical algebraic decomposition (CAD) is a key tool in computational algebraic
geometry, particularly for quantifier elimination over real-closed fields. When using CAD …
geometry, particularly for quantifier elimination over real-closed fields. When using CAD …
Defeating mba-based obfuscation
N Eyrolles, L Goubin, M Videau - … of the 2016 ACM Workshop on …, 2016 - dl.acm.org
Mixed Boolean-Arithmetic expressions are presented as a strong protection in the context of
data flow obfuscation. As there is very little literature on the analysis of such obfuscated …
data flow obfuscation. As there is very little literature on the analysis of such obfuscated …
Obfuscation with Mixed Boolean-Arithmetic Expressions: reconstruction, analysis and simplification tools
N Eyrolles - 2017 - theses.hal.science
Software obfuscation is a software protection technique thattransforms code in order to make
its analysis more difficult. MixedBoolean-Arithmetic (MBA) expressions are presented as a …
its analysis more difficult. MixedBoolean-Arithmetic (MBA) expressions are presented as a …
Algorithmically generating new algebraic features of polynomial systems for machine learning
D Florescu, M England - arxiv preprint arxiv:1906.01455, 2019 - arxiv.org
There are a variety of choices to be made in both computer algebra systems (CASs) and
satisfiability modulo theory (SMT) solvers which can impact performance without affecting …
satisfiability modulo theory (SMT) solvers which can impact performance without affecting …
Using machine learning to improve cylindrical algebraic decomposition
Abstract Cylindrical Algebraic Decomposition (CAD) is a key tool in computational algebraic
geometry, best known as a procedure to enable Quantifier Elimination over real-closed …
geometry, best known as a procedure to enable Quantifier Elimination over real-closed …
Constrained neural networks for interpretable heuristic creation to optimise computer algebra systems
D Florescu, M England - International Congress on Mathematical Software, 2024 - Springer
We present a new methodology for utilising machine learning technology in symbolic
computation research. We explain how a well known human-designed heuristic to make the …
computation research. We explain how a well known human-designed heuristic to make the …