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· 14 commits to master since this release
v0.1.0
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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)

Contributors

odow
Assets 2
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