Tags

Tags give the ability to mark specific points in history as being important
  • v6.60.1

    22b52f82 · Update Project.toml ·
    ## DiffEqSensitivity v6.60.1
    
    [Diff since v6.60.0](https://github.com/SciML/DiffEqSensitivity.jl/compare/v6.60.0...v6.60.1)
    
    
    **Closed issues:**
    - Non-diagonal noise SDEs (#487)
    
    **Merged pull requests:**
    - Mutating non-diagonal noise SDE and `ForwardDiffSensitivity()` (#496) (@frankschae)
  • v6.60.0

    92b9e704 · Update Project.toml ·
    ## DiffEqSensitivity v6.60.0
    
    [Diff since v6.59.0](https://github.com/SciML/DiffEqSensitivity.jl/compare/v6.59.0...v6.60.0)
    
    
    
    **Merged pull requests:**
    - add heuristics to optimize and improve the SteadyStateAdjoint defaults (#497) (@ChrisRackauckas)
    - fuse adjoint - with = (#498) (@ChrisRackauckas)
    - Improve argument name build_param_jac_config (#499) (@ArnoStrouwen)
    - Bump RandomNumbers (#500) (@ChrisRackauckas)
  • v6.59.0

    cf6cebe2 · Update Project.toml ·
    ## DiffEqSensitivity v6.59.0
    
    [Diff since v6.58.0](https://github.com/SciML/DiffEqSensitivity.jl/compare/v6.58.0...v6.59.0)
    
    
    **Closed issues:**
    - ReverseDiffAdjoint does not support non-Array types (#489)
    
    **Merged pull requests:**
    - add jac_prototype to `ODEFunction` for `BacksolveAdjoint` (#486) (@frankschae)
    - NILSAS (#488) (@frankschae)
    - Handle the NoTangents produced by Zygote v6.23 (#495) (@ChrisRackauckas)
  • v6.58.0

    ## DiffEqSensitivity v6.58.0
    
    [Diff since v6.57.0](https://github.com/SciML/DiffEqSensitivity.jl/compare/v6.57.0...v6.58.0)
    
    
    **Closed issues:**
    - Neural ODEs with callbacks cannot be trained with most sensitivity algorithms (#197)
    - More general noise types for the reverse in SDE adjoints (#253)
    - Support state-dependent continuous callbacks with adjoints (#374)
    - ContinuousCallback + save_positions=(true,true) + slicing (#383)
    - BacksolveAdjoint not working for my hybrid problem:  FakeIntegrator has no field opts (#407)
    - original jac ForwardSensitivity (#472)
    
    **Merged pull requests:**
    - State-dependent Continuous Callbacks for BacksolveAdjoint (#445) (@frankschae)
    - ForwardDiffSensitivity optimizations (#453) (@ChrisRackauckas)
    - add fastbroadcast (#459) (@ChrisRackauckas)
    - Add missing time update for uf (#469) (@ArnoStrouwen)
    - Jacobian matrix products for ForwardSensitivity (#470) (@ArnoStrouwen)
    - QuadratureAdjoint() for ContinuousCallback (#474) (@frankschae)
    - More tests for Neural ODEs with callbacks for different sensitivity algorithms (#475) (@frankschae)
    - Support for PeriodicCallbacks in continuous adjoint methods (#476) (@frankschae)
    - Use analytic jacobian ForwardSensitivity (#477) (@ArnoStrouwen)
    - [WIP] test adjoint sensitivity explicit t dependence (#478) (@ArnoStrouwen)
    - paramjac testing ForwardSensitivity (#480) (@ArnoStrouwen)
    - Improve checking for nothing (#481) (@ArnoStrouwen)
    - specialize f in forward sensitivity (#482) (@ChrisRackauckas)
    - Update Project.toml (#483) (@ChrisRackauckas)
  • v6.57.0

    84339442 · Update Project.toml ·
    ## DiffEqSensitivity v6.57.0
    
    [Diff since v6.56.0](https://github.com/SciML/DiffEqSensitivity.jl/compare/v6.56.0...v6.57.0)
    
    
    
    **Merged pull requests:**
    - fix reversediff scalarizing (#455) (@ChrisRackauckas)
  • v6.56.0

    6c0645fd · Update Project.toml ·
    ## DiffEqSensitivity v6.56.0
    
    [Diff since v6.55.3](https://github.com/SciML/DiffEqSensitivity.jl/compare/v6.55.3...v6.56.0)
    
    
    
    **Merged pull requests:**
    - Test Enzyme v0.7 (#449) (@ChrisRackauckas)
    - No specializing prob.kwargs handling (#452) (@ChrisRackauckas)
  • v6.55.3

    02333f0c · Update Project.toml ·
    ## DiffEqSensitivity v6.55.3
    
    [Diff since v6.55.2](https://github.com/SciML/DiffEqSensitivity.jl/compare/v6.55.2...v6.55.3)
    
    
    
    **Merged pull requests:**
    - [WIP] concrete_solve for NILSS  (#442) (@frankschae)
    - remove allocation in NILSS (#443) (@frankschae)
    - Handle additional callback case (#444) (@frankschae)
  • v6.55.2

    8f8753b9 · Update Project.toml ·
    ## DiffEqSensitivity v6.55.2
    
    [Diff since v6.55.1](https://github.com/SciML/DiffEqSensitivity.jl/compare/v6.55.1...v6.55.2)
    
    
    
    **Merged pull requests:**
    - Add original_jac (#441) (@YingboMa)
  • v6.55.1

    e584a4ab · Update Project.toml ·
    ## DiffEqSensitivity v6.55.1
    
    [Diff since v6.55.0](https://github.com/SciML/DiffEqSensitivity.jl/compare/v6.55.0...v6.55.1)
    
    
    
    **Merged pull requests:**
    - Handle non-vector equations in EnzymeVJP (#439) (@ChrisRackauckas)
  • v6.55.0

    4b1612c4 · Update Project.toml ·
    ## DiffEqSensitivity v6.55.0
    
    [Diff since v6.54.0](https://github.com/SciML/DiffEqSensitivity.jl/compare/v6.54.0...v6.55.0)
    
    
    
    **Merged pull requests:**
    - Non-Intrusive Least Square Shadowing (NILSS) (#437) (@frankschae)
  • v6.54.0

    1786e7e8 · Update Project.toml ·
    ## DiffEqSensitivity v6.54.0
    
    [Diff since v6.53.0](https://github.com/SciML/DiffEqSensitivity.jl/compare/v6.53.0...v6.54.0)
    
    
    
    **Merged pull requests:**
    - Fix forward event times (#436) (@ChrisRackauckas)
  • v6.53.0

    ## DiffEqSensitivity v6.53.0
    
    [Diff since v6.52.1](https://github.com/SciML/DiffEqSensitivity.jl/compare/v6.52.1...v6.53.0)
  • v6.52.1

    ## DiffEqSensitivity v6.52.1
    
    [Diff since v6.52.0](https://github.com/SciML/DiffEqSensitivity.jl/compare/v6.52.0...v6.52.1)
  • v6.52.0

    2e1c833b · Update Project.toml ·
    ## DiffEqSensitivity v6.52.0
    
    [Diff since v6.51.0](https://github.com/SciML/DiffEqSensitivity.jl/compare/v6.51.0...v6.52.0)
    
    
    
    **Merged pull requests:**
    - Fix specializations and reduce allocations (#430) (@ChrisRackauckas)
    - Allow Enzyme in QuadratureAdjoint and try/catch test EZ for auto (#432) (@ChrisRackauckas)
  • v6.51.0

    092a7ac6 · Update Project.toml ·
    ## DiffEqSensitivity v6.51.0
    
    [Diff since v6.50.2](https://github.com/SciML/DiffEqSensitivity.jl/compare/v6.50.2...v6.51.0)
    
    
    **Closed issues:**
    - Proper chunk mode for `ODEForwardSensitivity` (#246)
    
    **Merged pull requests:**
    - Much more extensive default sensitivity choices (#426) (@ChrisRackauckas)
    - Add EnzymeVJP (#427) (@ChrisRackauckas)
    - CompatHelper: add new compat entry for "Enzyme" at version "0.6" (#431) (@github-actions[bot])
  • v6.50.2

    a1309dbf · patch ·
    ## DiffEqSensitivity v6.50.2
    
    [Diff since v6.50.1](https://github.com/SciML/DiffEqSensitivity.jl/compare/v6.50.1...v6.50.2)
  • v6.50.1

    30f111c9 · Update Project.toml ·
    ## DiffEqSensitivity v6.50.1
    
    [Diff since v6.50.0](https://github.com/SciML/DiffEqSensitivity.jl/compare/v6.50.0...v6.50.1)
    
    
    
    **Merged pull requests:**
    - remove tests of Tracker.gradient (#429) (@ChrisRackauckas)
  • v6.50.0

    72fb0a77 · Update Project.toml ·
    ## DiffEqSensitivity v6.50.0
    
    [Diff since v6.49.1](https://github.com/SciML/DiffEqSensitivity.jl/compare/v6.49.1...v6.50.0)
    
    
    
    **Merged pull requests:**
    - ForwardDiffSensitivity for u0 (#428) (@ChrisRackauckas)
  • v6.49.1

    a8b03aca · Update Project.toml ·
    ## DiffEqSensitivity v6.49.1
    
    [Diff since v6.49.0](https://github.com/SciML/DiffEqSensitivity.jl/compare/v6.49.0...v6.49.1)
    
    
    
    **Merged pull requests:**
    - Fix some no p differentiation cases for ReverseDiff (#425) (@ChrisRackauckas)
  • v6.49.0

    b0cc6834 · Update Project.toml ·
    ## DiffEqSensitivity v6.49.0
    
    [Diff since v6.48.0](https://github.com/SciML/DiffEqSensitivity.jl/compare/v6.48.0...v6.49.0)
    
    
    
    **Merged pull requests:**
    - Adjoint-mode for the LSS method (#422) (@frankschae)
    - Concrete_solve dispatch for LSS methods (#423) (@frankschae)
    - Always adapt outputs to out format? (#424) (@ChrisRackauckas)