https://github.com/thowell/simple_trajectory_optimization
Examples showing how to set up trajectory optimization problems.
https://github.com/thowell/simple_trajectory_optimization
Last synced: over 1 year ago
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Examples showing how to set up trajectory optimization problems.
- Host: GitHub
- URL: https://github.com/thowell/simple_trajectory_optimization
- Owner: thowell
- Created: 2020-08-06T05:14:38.000Z (almost 6 years ago)
- Default Branch: master
- Last Pushed: 2021-05-28T18:33:40.000Z (about 5 years ago)
- Last Synced: 2025-01-16T06:32:39.648Z (over 1 year ago)
- Language: Julia
- Homepage:
- Size: 45.9 KB
- Stars: 4
- Watchers: 2
- Forks: 2
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# simple trajectory optimization
Examples setting up trajectory optimization problems in Julia using [Ipopt](https://github.com/coin-or/Ipopt) (via [MathOptInterface](https://jump.dev/MathOptInterface.jl/v0.9.1/)), [Convex.jl](https://github.com/jump-dev/Convex.jl), and [OSQP](https://osqp.org/). Additionally, there are examples for defining sparse derivatives, both manually and with [Symbolics.jl](https://github.com/JuliaSymbolics/Symbolics.jl).
TODO:
- [X] sparsity example
- [X] Symbolics.jl