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)