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Functions for finding row-minima in a totally monotone matrix.
Last release 3 months ago
16 Jun 2026
Release timing varies
gaps range from 5 weeks to 2.7 years
Nearly every release is documented
notes for 6 of 6 stable releases
Nothing withdrawn
no release was ever pulled
8 years old
6 releases · first in 2018
This release contains optimizations that make our benchmarks about 28% faster by eliminating heap allocations and vector bounds checks.
This release contains optimizations that make our benchmarks about 28% faster by
eliminating heap allocations and vector bounds checks.
This release adds more documentation and renames the top-level SMAWK functions. The old names have been kept for now to ensure backwards compatibility
This release adds more documentation and renames the top-level SMAWK functions.
The old names have been kept for now to ensure backwards compatibility, but they
will be removed in a future release.
One column per quarter.
This release relaxes the bounds on the smawk_row_minima , smawk_column_minima , and online_column_minima functions so that they work on matrices conta
This release relaxes the bounds on the smawk_row_minima,
smawk_column_minima, and online_column_minima functions so that
they work on matrices containing floating point numbers.
This release slims down the crate significantly by making ndarray an optional dependency.
This release slims down the crate significantly by making ndarray an
optional dependency.
smawk_row_minima and smawk_column_minima functions to a new Matrix trait.ndarray crate optional.is_monge take a Matrix argument instead of ndarray::Array2.rand and num-traits crates.This release updates the code to Rust 2018.
This release updates the code to Rust 2018.
online_column_minima generic in matrix type.is_monge.rand dependency to latest version and get rid of rand_derive.num-traits and version-sync dependencies to latest versions.ndarray dependency to the latest version.First release with the classical offline SMAWK algorithm as well as a newer online version where the matrix entries can depend on previously computed
First release with the classical offline SMAWK algorithm as well as a newer online version where the matrix entries can depend on previously computed column minima.
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