approximate function samples any given function with slow running time and returns new easing function with very fast one. The result still slower than
base easing functions and may contain a tiny approximation error (by default less than
var fastEasing = mojs.easing.approximate( slowEasing, n = 4 ); // where `n` is optional quantity of samples as `10^n` (larger `n` - smaller error).
Another strategy for the
approximate function is to feed it with precomputed
JSON data to same
CPU pressure from presampling the slow function:
var samples = require('./samples.json'); var fastEasing = mojs.easing.approximate( slowEasing, samples ); // where `samples` is `JSON` object that contains presampled data.
You can have the presampled data by calling
var fastEasing = mojs.easing.approximate( slowEasing ); var samples = fastEasing.getSamples();