@woosh/meep-engine
Version:
Pure JavaScript game engine. Fully featured and production ready.
92 lines • 3.26 kB
TypeScript
/**
* @author Alex Goldring 14/05/2018 - Ported to JS using JSweet + manual editing
* @author Kaspar Fischer (hbf) 09/05/2013
* @source https://github.com/hbf/miniball
* @generated Generated from Java with JSweet 2.2.0-SNAPSHOT - http://www.jsweet.org
*/
/**
* Information about the quality of the computed ball.
* @class
*/
export class Quality {
/**
*
* @param {number} qrInconsistency
* @param {number} minConvexCoefficient
* @param {number} maxOverlength
* @param {number} maxUnderlength
* @param {number} iterations
* @param {number} supportSize
*/
constructor(qrInconsistency: number, minConvexCoefficient: number, maxOverlength: number, maxUnderlength: number, iterations: number, supportSize: number);
qrInconsistency: number;
minConvexCoefficient: number;
maxOverlength: number;
maxUnderlength: number;
iterations: number;
supportSize: number;
/**
* A measure for the quality of the internally used support points.
*
* The returned number should in theory be zero (but may be non-zero due to rounding errors).
* @return {number}
*/
getQrInconsistency(): number;
/**
* A measure for the minimality of the computed ball.
*
* The returned number should in theory be non-zero and positive. Due to rounding errors, it may
* be negative.
* @return {number}
*/
getMinConvexCoefficient(): number;
/**
* The maximal over-length of a point from the input set, relative to the computed miniball's
* radius.
*
* For each point <i>p</i> from the input point set, it is computed how far it is <i>outside</i>
* the miniball ("over-length"). The returned number is the maximal such over-length, divided by
* the radius of the computed miniball.
*
* Notice that `getMaxOverlength() == 0` if and only if all points are contained in the
* miniball.
*
* @return {number} the maximal over-length, a number ≥ 0
*/
getMaxOverlength(): number;
/**
* The maximal under-length of a point from the input set, relative to the computed miniball's
* radius.
*
* For each point <i>p</i> from the input point set, it is computed how far one has to walk from
* this point towards the boundary of the miniball ("under-length"). The returned number is the
* maximal such under-length, divided by the radius of the computed miniball.
*
* Notice that in theory `getMaxUnderlength()` should be zero, otherwise the computed
* miniball is enclosing but not minimal.
*
* @return {number} the maximal under-length, a number ≥ 0
*/
getMaxUnderlength(): number;
/**
* The number of iterations that the algorithm needed to compute the miniball.
*
* @return {number} number of iterations
*/
getIterations(): number;
/**
* The size of the support.
*
* Refer to the documentation of {@link Miniball#support()} for more information on the
* <i>support</i>.
*
* @return {number} size of the support
*/
getSupportSize(): number;
/**
*
* @return {string}
*/
toString(): string;
}
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