This release contains a MATLAB version of Moco's 2D predictive
simulation of walking, contributed by Brian Umberger, and examples in
MATLAB, Python, and C++ for using the MocoInverse tool. Lastly, we added
examples for creating a custom goal in C++; see
exampleSlidingMassAdvanced.cpp and exampleMocoCustomEffortGoal.

To easily plot a solution in MATLAB, we introduced the
osimMocoTrajectoryReport.m utility.

We updated the versions of Simbody and OpenSim that we bundle with Moco.
As a result, this release contains a fix for the simbody-visualizer for
macOS Catalina, and contains OpenSim's support for IMUs.

This release contains the following new modules:
- MocoOutputGoal, for minimizing any scalar output of a model.
- MocoFrameDistanceConstraint, to constrain the distances between frames
in the model.
- MocoAngularVelocityTrackingGoal and MocoAccelerationTrackingGoal,
added in anticipation of supporting IMU data in the future.

We made minor changes to various parts of Moco's interface; you may have
to make small changes to your code to use this release. For example,
converting muscles from Millard2012EquilibriumMuscle to
DeGrooteFregly2016Muscle now preserves the fiber damping property, while
previously we set fiber damping to 0 during this conversion. To set
fiber damping to zero, you can use ModOpFiberDampingDGF.

More details about this release are in the CHANGELOG.md file.