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Strength, Power, Reactivity, & Speed Discussion / Re: Advanced Theory & Programming of The Human Organism
« on: November 07, 2010, 06:24:44 pm »
struct UltimateTrainer
{
int assesmentFunc();
assessmentFunc() would also go through all of the *analysis substructures, and based on the bioanalysis of the person on that day, would filter out exercises that would be less effective, for example, using limb lengths, extremely long SHR'd athletes would have ATG squatting downvoted in favor of half squatting.. Based on explosive to maximal strength ratios, ie, RVJ to SVJ to static SVJ, plyometric/reactive/explosive exercises would be filtered/added to the list of available exercises, sets/reps/durations would also be calculated based on work capacity values taken from the training history analysis substructs.
so trainingFunc() feeds off of assessmentFunc() as the athlete matures chronologically.
so, before you get to trainingFunc(), you go through assessmentFunc()/evaluationFunc(), then you apply extra filters based on reFormTrainingPlan();, then and only then, may you apply trainingFunc().. optimal training, every day, no exceptions.
lulzcakes.
{
int assesmentFunc();
assessmentFunc() would also go through all of the *analysis substructures, and based on the bioanalysis of the person on that day, would filter out exercises that would be less effective, for example, using limb lengths, extremely long SHR'd athletes would have ATG squatting downvoted in favor of half squatting.. Based on explosive to maximal strength ratios, ie, RVJ to SVJ to static SVJ, plyometric/reactive/explosive exercises would be filtered/added to the list of available exercises, sets/reps/durations would also be calculated based on work capacity values taken from the training history analysis substructs.
so trainingFunc() feeds off of assessmentFunc() as the athlete matures chronologically.
so, before you get to trainingFunc(), you go through assessmentFunc()/evaluationFunc(), then you apply extra filters based on reFormTrainingPlan();, then and only then, may you apply trainingFunc().. optimal training, every day, no exceptions.
lulzcakes.



