[Diff since v0.3.4](v0.3.4...v0.4.0)
- Require Julia 1.10
- Update the API for DataFrames.jl v1.7
**Merged pull requests:**
- Bump to DataFrames 1.7 (#75) (@tmigot)
- Add derivative check for Jacobian of residual (#85) (@tmigot)
- Compute correctly the git-tree-sha1 of each artifact (#93) (@amontoison)
- Update with JSOBestieTemplate for BundleAdjustmentModels (#97) (@tmigot)
- Update Breakage.yml (#99) (@amontoison)
- Update with JSOBestieTemplate for BundleAdjustmentModels (#101) (@tmigot)
**Closed issues:**
- Fix README (#66)
- Error in the tutorial (#74)
- Upgrade BundleAdjustmentModels.jl to support newer version of DataFrames.jl (#96)

[Diff since v0.3.3](v0.3.3...v0.3.4)

[Diff since v0.3.2](v0.3.2...v0.3.3)
**Merged pull requests:**
- Avoid broadcast in residual function (#84) (@tmigot)
- Replaced CITATION.bib by CITATION.cff (#87) (@Jay-sanjay)
- Remove `strict` from makedocs (#88) (@tmigot)
- Support NLPModels 0.21 (#91) (@amontoison)
**Closed issues:**
- Replace CITATION.bib by CITATION.cff (#86)

[Diff since v0.3.1](v0.3.1...v0.3.2)
**Closed issues:**
- Explicitly set the residual's nnzh to 0 (#78)
**Merged pull requests:**
- use strict=true in docs (#70) (@dpo)
- Add contribution (#72) (@tmigot)
- Add link to tutorial (#73) (@tmigot)
- Drop Julia 1.3 (#76) (@tmigot)
- Set number of nonzeros in Hessian of the residual to 0 (#80) (@tmigot)
- CompatHelper: bump compat for NLPModels to 0.20, (keep existing compat) (#81) (@github-actions[bot])
- Version 0.3.2 (#83) (@tmigot)

[Diff since v0.3.0](v0.3.0...v0.3.1)
**Merged pull requests:**
- Improving residual function (#65) (@AntoninKns)
- Bumping to version 0.3.1 (#68) (@AntoninKns)

[Diff since v0.2.0](v0.2.0...v0.3.0)
**Closed issues:**
- Allocations (#44)
- add CirrusCI (#45)
- Resolve correct amount of evaluations of Jacobian (#47)
- Add contributor to the project (#48)
- Fix jac_op_residual (#51)
- Improve docstrings. (#59)
**Merged pull requests:**
- Corrections issue 39-47-51 (#52) (@AntoninKns)
- add cirrus config (#55) (@dpo)
- Update constructors (#57) (@AntoninKns)
- Updating doc (#61) (@AntoninKns)
- Adaptating code for ReverseADNLSModels (#62) (@AntoninKns)
- Bumping to v0.3.0 (#63) (@AntoninKns)

[Diff since v0.1.1](v0.1.1...v0.2.0)
**Merged pull requests:**
- Update links for the badges (#36) (@tmigot)
- Remove unnecessary link in tests (#37) (@tmigot)
- Fix links in `make.jl` (#38) (@tmigot)
- Bump NLPModels 0.18 (#40) (@tmigot)
- decrease allocations in residual evaluation (#41) (@dpo)
- No allocations on jac_coord! (#46) (@AntoninKns)
- Bump version 0.2 (#50) (@AntoninKns)

[Diff since v0.1.0](v0.1.0...v0.1.1)
**Closed issues:**
- add CITATION.bib (#30)
**Merged pull requests:**
- add DOI number and badge (#29) (@dpo)
- Changing Linear Algebra (#31) (@AntoninKns)
- Ajout citation (#32) (@AntoninKns)
- New release (#33) (@AntoninKns)

**Merged pull requests:**
- Correction julia 1.3 (#2) (@AntoninKns)
- add badges to README (#10) (@AntoninKns)
- update formatter settings (#11) (@AntoninKns)
- Update documentation (#12) (@AntoninKns)
- Adding more specific tests (#13) (@AntoninKns)
- Update badges pr (#15) (@AntoninKns)
- Correction petites erreurs (#16) (@AntoninKns)
- Ajout tests résidu et jacobien (#18) (@AntoninKns)
- Adding references cleaner (#19) (@AntoninKns)
- Adding more doc (#22) (@AntoninKns)
- Correction doc (#24) (@AntoninKns)
- Changing name to BundleAdjustment (#26) (@AntoninKns)
- Adding julia compat (#27) (@AntoninKns)