Use CITATION.cff (#87)

* Use CITATION.cff instead of bib

CITATION.cff

@@ -0,0 +1,33 @@
+# This CITATION.cff file was generated with cffinit.
+# Visit https://bit.ly/cffinit to generate yours today!
+
+cff-version: 1.2.0
+title: >-
+  LimitedLDLFactorizations.jl: Limited-Memory $LDL^T$ Factorization
+message: >-
+  If you use this software, please cite it using the
+  metadata from this file.
+type: software
+authors:
+  - given-names: Dominique
+    family-names: Orban
+    email: [email protected]
+    orcid: 'https://orcid.org/0000-0002-8017-7687'
+    affiliation: >-
+      GERAD and Department of Mathematics and
+      Industrial Engineering, Polytechnique Montréal,
+      QC, Canada
+  - given-names: contributors
+identifiers:
+  - description: Zenodo archive
+    type: doi
+    value: 10.5281/zenodo.3474804
+keywords:
+  - Linear Algebra
+  - Julia
+  - Matrix Factorization
+license: MPL-2.0
+version: 0.5.1
+date-released: '2023-10-18'
+repository-code: >-
+  https://github.com/JuliaSmoothOptimizers/LimitedLDLFactorizations.jl

README.md

@@ -10,7 +10,7 @@
 A Port of LLDL to Julia.
 See https://github.com/optimizers/lldl.
 
-Please cite this repository if you use LimitedLDLFactorizations.jl in your work: see [`CITATION.bib`](https://github.com/JuliaSmoothOptimizers/LimitedLDLFactorizations.jl/blob/main/CITATION.bib).
+Please cite this repository if you use LimitedLDLFactorizations.jl in your work: see [`CITATION.cff`](https://github.com/JuliaSmoothOptimizers/LimitedLDLFactorizations.jl/blob/main/CITATION.cff).
 
 LimitedLDLFactorizations is a limited-memory LDLᵀ factorization for symmetric matrices.
 Given a symmetric matrix A, we search for a unit lower triangular L, a