Strenuous here means lifting your one rep max, running 20 miles, breaking a personal best sprint time, that sort of thing.
I can attest from personal experience that ice bath right after exercise works in these cases. I’ve even tested it by icing just one leg and not the other. There is a marked difference in recovery by next day.
Ideally you ice the muscles right after workout then put them in a compression clothing so they’re extra warm for the next several hours.
Imagine you could perfectly recover with some intervention. Then weight lifting no longer works!
For examples like the ones you listed, peak performances where you’re not concerned about gainz and maybe even have to perform again soon after, it makes a lot of sense to do anything to recover quickly.
I still wonder if that is the easiest way to go about it. Isn't it possible to compile Scheme to WASM, for example?
Also the MIT scheme install was historically quite hairy and not supported on M1 Macs, for example.
I’ll update the docs here. Thanks!
• "Computational Physics, Beyond the Glass" by Sam Ritchie (Strange Loop 2023) - YouTube: https://www.youtube.com/watch?v=Jv2JgzAl5yU
• "Emmy: Moldable Physics and Lispy Microworlds" by Sam Ritchie - YouTube: https://www.youtube.com/watch?v=B9kqD8vBuwU
• "Just-So Stories for AI: Explaining Black-Box Predictions" by Sam Ritchie - YouTube: https://www.youtube.com/watch?v=DiWkKqZChF0
At one point he was rebuilding an old airplane. Unsure if that project is still going on:
Point well taken from tonyarkles that on-boarding and docs need work. My big goals for this project were:
1. finish a 100% port of Gerald Sussman's scmutils algebra system into the browser via ClojureScript (I'm at ~98% or so?)
2. attach a 2D and 3D visualization system, and use the very-high-level physics abstractions to generate fast, interactive animations
3. make this all editable in the browser
4. write a ton of physics lessons and essays using the system
1-3 are all done, 4 is going to happen, but job + young twins are slowing me down now.
The easiest way to play with 1-3 is via the demos I shared at Strange Loop this past year, all of which run in the browser.
The first two live in Maria.cloud, which has all of Emmy available on any page. So fork these, play and share:
- First-Class Visualizations: https://2.maria.cloud/gist/30dbb25a2d2eb7324e0aad1097c459ae
- MathBox + Emmy at Strange Loop: https://2.maria.cloud/gist/0405c3427c88326a181b307371f939bc
These live in an editable version of a Clerk notebook with a less-polished UI:
- Taylor Series: https://sritchie.github.io/strange-loop-2023/notebooks/stl/t...
- Dual Number Visualization: https://sritchie.github.io/strange-loop-2023/notebooks/stl/d...
- (p, q) torus knot: https://sritchie.github.io/strange-loop-2023/notebooks/stl/p...
- Phase Portrait of the Pendulum: https://sritchie.github.io/strange-loop-2023/notebooks/stl/p...
- Geodesics of a Torus: https://sritchie.github.io/strange-loop-2023/notebooks/stl/t...
- Geodesics Klein bottles: https://sritchie.github.io/strange-loop-2023/notebooks/stl/k...
- Animated Particle on an Ellipsoid: https://sritchie.github.io/strange-loop-2023/notebooks/stl/e...
I've never worked this through to a full conclusion, but you could even write it in a way that would let you get symbolic differentiation out of it too.
See https://sritchie.github.io/emmy/src/emmy/differential.html for detail!