v0.2.1

MathOptSymbolicAD v0.2.1

Diff since v0.2.0

Merged pull requests:

• Update compat for PowerModels.jl (#38) (@odow)
• Prep for v0.2.1 (#40) (@odow)

v0.2.0

MathOptSymbolicAD v0.2.0

Diff since v0.1.3

Merged pull requests:

• Update to latest JuMP syntax (#29) (@odow)
• Relicense under LANL's standard BSD-3 license (#33) (@odow)
• Tidy package imports (#34) (@odow)
• Support comparison operators (#35) (@odow)
• Add support for Symbolics@6 (#36) (@odow)
• Prep for v0.2.0 (#37) (@odow)

Closed issues:

• README Maintenance (#28)
• Use as an AD backend in DifferentiationInterface.jl? (#30)
• Support Nonlinear.NODE_LOGIC and Nonlinear.NODE_COMPARISON (#31)
• Update license (#32)

v0.1.3

MathOptSymbolicAD v0.1.3

Diff since v0.1.2

Merged pull requests:

• Update Symbolics version (#27) (@odow)

Closed issues:

• Symbolics v5 (#26)

v0.1.2

MathOptSymbolicAD v0.1.2

Diff since v0.1.1

Closed issues:

• Type error in evaluator subexpression generation (#24)

Merged pull requests:

• Fix support for constant subexpressions (#25) (@odow)

v0.1.1

MathOptSymbolicAD v0.1.1

Diff since v0.1.0

Merged pull requests:

• Fix subexpressions in expressions (#23) (@michel2323)

v0.1.0

MathOptSymbolicAD v0.1.0

Closed issues:

• Speed-up ideas (#4)
• User-defined functions (#10)
• Fix operation to function (#11)
• Implement Hessian sparsity idea discussed with coffrin (#13)

Merged pull requests:

• Add .JuliaFormatter.toml (#1) (@odow)
• Refactor into AbstractBackends (#2) (@odow)
• Add direct JuMP integration bypassing expensive initialize (#3) (@odow)
• Add timers for objective and gradient (#5) (@odow)
• Implement a small performance improvement (#6) (@odow)
• Special case handling of integer exponents (#7) (@odow)
• Cache an ordered vector of variables instead of using dictionary lookups (#8) (@odow)
• Add tools to validate the derivatives produced by JuMP (#9) (@odow)
• Skip Hessian computation if zero dual (#12) (@odow)
• Implement compacted hessian_lagrangian (#14) (@odow)
• Add documentation (#16) (@odow)
• Rebase on MOI.Nonlinear (#17) (@odow)
• Add license headers (#18) (@odow)
• Add support for user-defined functions (#19) (@odow)
• Rename to MathOptSymbolicAD.jl (#20) (@odow)