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Merged
Luis-Varona merged 1 commit into from
Jan 29, 2026
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Prepare metadata for v0.3.0 #219

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5 changes: 4 additions & 1 deletion CHANGELOG.md
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Expand Up @@ -6,6 +6,8 @@ The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.1.0/),

## [Unreleased]

## [0.3.0] - 2026-01-29

### Changed

- Switched back from `@repl` blocks to `jldoctest` blocks in the docstrings, since *Documenter.jl* stopped executing `@repl` blocks in the generated documentation (#217).
Expand Down Expand Up @@ -156,7 +158,8 @@ The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.1.0/),

- Released the initial stable version of the package.

[unreleased]: https://github.com/Luis-Varona/MatrixBandwidth.jl/compare/v0.2.3...HEAD
[unreleased]: https://github.com/Luis-Varona/MatrixBandwidth.jl/compare/v0.3.0...HEAD
[0.3.0]: https://github.com/Luis-Varona/MatrixBandwidth.jl/releases/tag/v0.3.0
[0.2.3]: https://github.com/Luis-Varona/MatrixBandwidth.jl/releases/tag/v0.2.3
[0.2.2]: https://github.com/Luis-Varona/MatrixBandwidth.jl/releases/tag/v0.2.2
[0.2.1]: https://github.com/Luis-Varona/MatrixBandwidth.jl/releases/tag/v0.2.1
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2 changes: 1 addition & 1 deletion Project.toml
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Expand Up @@ -2,7 +2,7 @@ name = "MatrixBandwidth"
uuid = "075aa41b-24fd-4573-b25f-92cae432c0f8"
keywords = ["matrix bandwidth", "sparse matrices", "optimization", "scientific computing", "julia"]
license = "MIT"
version = "0.2.3"
version = "0.3.0"
authors = ["Luis M. B. Varona <lm.varona@outlook.com>"]
description = "Fast algorithms for matrix bandwidth minimization and recognition, written in Julia."
homepage = "https://luis-varona.github.io/MatrixBandwidth.jl/"
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4 changes: 2 additions & 2 deletions README.md
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Expand Up @@ -7,7 +7,7 @@
<tr>
<td>Metadata</td>
<td>
<img src="https://img.shields.io/badge/version-v0.2.3-pink.svg" alt="Version">
<img src="https://img.shields.io/badge/version-v0.3.0-pink.svg" alt="Version">
<a href="https://opensource.org/licenses/MIT"><img src="https://img.shields.io/badge/License-MIT-A31F34.svg" alt="License: MIT"></a>
<a href="https://github.com/JuliaDiff/BlueStyle"><img src="https://img.shields.io/badge/code%20style-blue-4495d1.svg" alt="Code Style: Blue"></a>
</td>
Expand Down Expand Up @@ -329,6 +329,6 @@ We welcome all bug reports, feature requests, and contributions! Please refer to

## Project status

The latest stable release of MatrixBandwidth.jl is v0.2.3. Although several metaheuristic algorithms are still under development, the rest of the package is fully functional and covered by unit tests.
The latest stable release of MatrixBandwidth.jl is v0.3.0. Although several metaheuristic algorithms are still under development, the rest of the package is fully functional and covered by unit tests.

Currently, MatrixBandwidth.jl's core functions generically accept any input of the type `AbstractMatrix{<:Number}`, not behaving any differently when given sparsely stored matrices (e.g., from the [SparseArrays.jl](https://github.com/JuliaSparse/SparseArrays.jl) standard library package). Capabilities for directly handling graph inputs (aiming to reduce the matrix bandwidth of a graph's adjacency) are also not available. Given that bandwidth reduction is often applied to sparse matrices and graphs, these limitations will be addressed in a future release of the package.
4 changes: 2 additions & 2 deletions docs/src/index.md
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Expand Up @@ -16,7 +16,7 @@ CurrentModule = MatrixBandwidth
<tr>
<td>Metadata</td>
<td>
<img src="https://img.shields.io/badge/version-v0.2.3-pink.svg" alt="Version">
<img src="https://img.shields.io/badge/version-v0.3.0-pink.svg" alt="Version">
<a href="https://opensource.org/licenses/MIT"><img src="https://img.shields.io/badge/License-MIT-A31F34.svg" alt="License: MIT"></a>
<a href="https://github.com/JuliaDiff/BlueStyle"><img src="https://img.shields.io/badge/code%20style-blue-4495d1.svg" alt="Code Style: Blue"></a>
</td>
Expand Down Expand Up @@ -237,7 +237,7 @@ We welcome all bug reports, feature requests, and contributions! Please refer to

## Project status

The latest stable release of MatrixBandwidth.jl is v0.2.3. Although several metaheuristic algorithms are still under development, the rest of the package is fully functional and covered by unit tests.
The latest stable release of MatrixBandwidth.jl is v0.3.0. Although several metaheuristic algorithms are still under development, the rest of the package is fully functional and covered by unit tests.

Currently, MatrixBandwidth.jl's core functions generically accept any input of the type `AbstractMatrix{<:Number}`, not behaving any differently when given sparsely stored matrices (e.g., from the [SparseArrays.jl](https://github.com/JuliaSparse/SparseArrays.jl) standard library package). Capabilities for directly handling graph inputs (aiming to reduce the matrix bandwidth of a graph's adjacency) are also not available. Given that bandwidth reduction is often applied to sparse matrices and graphs, these limitations will be addressed in a future release of the package.

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