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    • Performance improvement of LBJ with block and/or bytecode authored by Sébastien Villemot's avatar Sébastien Villemot
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    NewFeatures.md
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    ...@@ -37,6 +37,8 @@ steady state or the dynamic residuals when the nonlinear solver is used. (#349) ...@@ -37,6 +37,8 @@ steady state or the dynamic residuals when the nonlinear solver is used. (#349)
    - Allows decomposition of the PAC target into an arbitrary number of components. (b297353b06c9c35223500439c0bc63321675768b) - Allows decomposition of the PAC target into an arbitrary number of components. (b297353b06c9c35223500439c0bc63321675768b)
    - Perfect foresight: significant performance improvement of `stack_solve_algo=1` (LBJ algorithm) when used in conjuction with options `block` and/or `bytecode` of the `model` block (17b016d983be260aa09926809d1f3465307c58e2, be648d350b162152e999b8ffad830dce6b373190, 77a7d5c3dec67b6d9943fc23c11afbb1d0cfd431)
    - Performance improvements for k-order perturbation simulation and particle - Performance improvements for k-order perturbation simulation and particle
    filtering at higher order (⩾ 3). (#1802, !2071, particles!16, !2045) filtering at higher order (⩾ 3). (#1802, !2071, particles!16, !2045)
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