/**
 * This is not the standard gaussian.
 * It lacks the normalization factor, standard gaussian would be weighted by `1 / √(2π * variance)`
 * @param {number} sigma Standard deviation. Distance from mean. Represents the "width" of the Gaussian-like curve.  Note: The parameter is named `sigma`, but its placement in the formula means it scales inversely to the usual effect of sigma.
 * @param {number} v Variance. Represents the "height" or "amplitude" of the curve, but at a distance from the mean.  Larger variance values result in larger function values further away from the mean (0).
 * @returns {number} Ranges from 0 to 1 (exclusive of 0)
 */
export function gaussian(sigma: number, v: number): number;
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