epsilon
constepsilon:0.0001=0.0001
Defined in: src/epsilon.js:35
We use ε, epsilon, as a stopping criterion when we want to iterate
until we’re “close enough”. Epsilon is a very small number: for
simple statistics, that number is 0.0001
This is used in calculations like the binomialDistribution, in which the process of finding a value is iterative: it progresses until it is close enough.
Below is an example of using epsilon in gradient descent,
where we’re trying to find a local minimum of a function’s derivative,
given by the fDerivative method.
Example
Section titled “Example”// From calculation, we expect that the local minimum occurs at x=9/4var x_old = 0;// The algorithm starts at x=6var x_new = 6;var stepSize = 0.01;
function fDerivative(x) { return 4 * Math.pow(x, 3) - 9 * Math.pow(x, 2);}
// The loop runs until the difference between the previous// value and the current value is smaller than epsilon - a rough// meaure of 'close enough'while (Math.abs(x_new - x_old) > ss.epsilon) { x_old = x_new; x_new = x_old - stepSize * fDerivative(x_old);}
console.log('Local minimum occurs at', x_new);