BundleAdjustmentModels v0.4.0

Diff since v0.3.4

Breaking changes

• 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)

BundleAdjustmentModels v0.3.4

Diff since v0.3.3

BundleAdjustmentModels v0.3.3

Diff since v0.3.2

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)

BundleAdjustmentModels v0.3.2

Diff since v0.3.1

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)

BundleAdjustmentModels v0.3.1

Diff since v0.3.0

Merged pull requests:

• Improving residual function (#65) (@AntoninKns)
• Bumping to version 0.3.1 (#68) (@AntoninKns)

BundleAdjustmentModels v0.3.0

Diff since v0.2.0

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)

BundleAdjustmentModels v0.2.0

Diff since v0.1.1

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)

BundleAdjustmentModels v0.1.1

Diff since v0.1.0

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)

BundleAdjustmentModels v0.1.0

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)