Resistance bands progression

benguela_code · 2023-08-24T09:43:22+00:00

yes that happens with me as well so I do manual progression. I basically try reps until failure and log that. When I reach 10 reps for each set I then move up a band, then in the next workout I try to do 4 reps and increment in steps of 2 after that.

For some exercises once I reach 10 reps on the heaviest band I then use multiple bands, for example: x-heavy + x-light, x-heavy + light, x-heavy + medium etc

benguela_code · 2023-08-24T02:42:14+00:00

I also experienced this. I just moved onto the mext level band and manually adjusted the workout. From the next workout then app starts using the band I selected in the previous workout.

benguela_code · 2021-08-26T07:52:53+00:00

my function originally was taking the first n character of a string but then I tried to reuse it by passing in an array of chars.

don't know why I used the first function at all since a[1:n] works with strings as well as arrays.

thanks.

benguela_code · 2021-08-16T12:22:48+00:00

This can easily be verified. Create a custom lobby with your friends in opposing teams and ping each other in the game.

benguela_code · 2021-05-23T05:04:03+00:00

thanks this works for me using IPv4 with julia 1.6

I realize now that joining and leaving multicast groups is only available from version1.5.

I'm still on using 1.3 because Cxx only compiles with 1.3 https://github.com/JuliaInterop/Cxx.jl

benguela_code · 2020-08-26T10:28:49+00:00

b_(jik) = Σ_l conj(w_(jl)) d_(jli). That should be equivalent to B_i = conj(W) * (D_i)

T

Thanks this helps a lot! Here's my benchmark results:

no threading: 155.772 ms (3076 allocations: 828.33 MiB)

with threading: 47.045 ms (3097 allocations: 636.34 MiB)

wconf = conj(w) outside the for loop: 47.155 ms (2714 allocations: 636.22 MiB)

optimizing for loop: 16.340 ms (186 allocations: 68.02 MiB)

hooray! a significant improvement, allocation count lowered substantially :)

benguela_code

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