The entries in the previous table summarize the fact that Boolean satisfiability is a weak method that admits efficient implementations. The representation is relatively inefficient, and none of our ...

A research-style project that solves the mean-variance portfolio optimization problem with a cardinality constraint using integer programming. This model captures the real-world need to limit the ...

Automated reasoning (AR) is a branch of artificial intelligence that applies various reasoning techniques to solve problems from mathematics and logic. AR engines use clever optimizations and ...

Abstract: The deep learning-based cardinality estimation is a hot research topic in the field of database query optimization. The SQL query featurization has a direct impact on the quality of ...

Cardinality estimation (CE) is essential to many database-related tasks, such as query generation, cost estimation, and query optimization. Accurate CE is necessary to ensure optimal query planning ...

Cardinality estimation (CE) is crucial in optimizing query performance in relational databases. It involves predicting the number of intermediate results a database query will return, directly ...

Good testing coverage of novel database techniques, such as multidimensional histograms or changes in the execution engine, is a complex problem. In this work, we argue that this task requires ...