Abstract | ||
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ML4PG is a machine-learning extension that provides statistical proof hints during the process of Coq/SSReflect proof development. In this paper, we use ML4PG to find proof patterns in the CoqEAL library - a library that was devised to verify the correctness of Computer Algebra algorithms. In particular, we use ML4PG to help us in the formalisation of an efficient algorithm to compute the inverse of triangular matrices. |
Year | DOI | Venue |
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2013 | 10.1007/978-3-642-39320-4_28 | MKM/Calculemus/DML |
Keywords | Field | DocType |
proof pattern,coqeal library,computer algebra verification,ssreflect proof development,machine-learning extension,statistical proof hint,computer algebra algorithm,triangular matrix,efficient algorithm,clustering,interactive theorem proving,machine learning | Inverse,Algebra,Statistical proof,Matrix (mathematics),Correctness,Symbolic computation,Theoretical computer science,Cluster analysis,Mathematics,Proof assistant | Conference |
Citations | PageRank | References |
5 | 0.46 | 5 |
Authors | ||
2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Jónathan Heras | 1 | 94 | 23.31 |
Ekaterina Komendantskaya | 2 | 150 | 22.66 |