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@@ -14,10 +14,10 @@ This Julia package is a lightweight framework for defining N-Dimensional region
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## Usage
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See [examples/demo/demo.ipynb](https://github.com/rdeits/RegionTrees.jl/blob/master/examples/demo/demo.ipynb) for a tour through the API. You can also check out:
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See [examples/demo/demo.ipynb](examples/demo/demo.ipynb) for a tour through the API. You can also check out:
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*[examples/adaptive_distances.ipynb](https://github.com/rdeits/RegionTrees.jl/blob/master/examples/adaptive_distances.ipynb) for an adaptively-sampled distance field, or [AdaptiveDistanceFields.jl](https://github.com/rdeits/AdaptiveDistanceFields.jl) for a more complete example [1]
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*[examples/adaptive_mpc.ipynb](https://github.com/rdeits/RegionTrees.jl/blob/master/examples/adaptive_mpc.ipynb) for an adaptive approximation of a model-predictive controller
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*[examples/adaptive_distances.ipynb](examples/adaptive_distance_fields/adaptive_distances.ipynb) for an adaptively-sampled distance field, or [AdaptiveDistanceFields.jl](https://github.com/rdeits/AdaptiveDistanceFields.jl) for a more complete example [1]
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*[examples/adaptive_mpc.ipynb](examples/adaptive_mpc/adaptive_mpc.ipynb) for an adaptive approximation of a model-predictive controller
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[1] Frisken et al. "Adaptively Sampled Distance Fields: A General Representation of Shape for Computer Graphics". SIGGRAPH 2000.
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