Fix typo in changelog.
PiperOrigin-RevId: 563399339 Change-Id: I59b6e70bbde64d06a581b45ed529de09603ef8f8
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@@ -14,7 +14,7 @@ New features
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1. Added constraint island discovery in :ref:`mj_island`. Constraint islands are disjoint sets of constraints
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and degrees-of-freedom that do not interact. In a future release the constraint solver will be refactored to
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exploit the disjoint structure. Island discovery can be activated using a new :ref:`enable flag<option-flag-island>`
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exploit this disjoint structure. Island discovery can be activated using a new :ref:`enable flag<option-flag-island>`
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which will be removed after the refactor. If island discovery is enabled, geoms, contacts and
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tendons will be colored according to the corresponding island, see video.
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@@ -26,7 +26,7 @@ New features
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convex. Collision points are found by minimizing the maximum of the two colliding SDFs via gradient descent.
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- Added new SDF plugin for defining implicit geometries. The plugin must define methods computing an SDF and its
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gradient at query points See the :ref:`documentation<exWriting>` for more details.
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gradient at query points. See the :ref:`documentation<exWriting>` for more details.
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3. Added :ref:`mjThreadPool` and :ref:`mjTask` which allow for multi-threaded operations within the MuJoCo engine
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pipeline.
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@@ -62,8 +62,8 @@ General
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Euler integrator. See the :ref:`Numerical Integration<geIntegration>` section for more details.
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11. Added the flag :ref:`invdiscrete<option-flag-invdiscrete>`, which enables discrete-time inverse dynamics for all
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:ref:`integrators<option-integrator>` other than ``RK4``. See the flag documentation for more details.
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12. Added :ref:`ls_iterations<option-ls_iterations>` and :ref:`ls_iterations<option-ls_tolerance>` options for adjusting
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linesearch stopping criteria in CG and Newton solvers. This can be useful for performance tuning.
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12. Added :ref:`ls_iterations<option-ls_iterations>` and :ref:`ls_tolerance<option-ls_tolerance>` options for adjusting
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linesearch stopping criteria in CG and Newton solvers. This can be useful for performance tuning.
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Python bindings
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^^^^^^^^^^^^^^^
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