StackGenVis: Alignment of Data, Algorithms, and Models for Stacking Ensemble Learning Using Performance Metrics
https://doi.org/10.1109/TVCG.2020.3030352
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38 lines
881 B
38 lines
881 B
4 years ago
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module.exports = invert
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/**
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* Inverts a mat3
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*
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* @alias mat3.invert
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* @param {mat3} out the receiving matrix
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* @param {mat3} a the source matrix
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* @returns {mat3} out
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*/
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function invert(out, a) {
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var a00 = a[0], a01 = a[1], a02 = a[2]
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var a10 = a[3], a11 = a[4], a12 = a[5]
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var a20 = a[6], a21 = a[7], a22 = a[8]
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var b01 = a22 * a11 - a12 * a21
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var b11 = -a22 * a10 + a12 * a20
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var b21 = a21 * a10 - a11 * a20
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// Calculate the determinant
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var det = a00 * b01 + a01 * b11 + a02 * b21
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if (!det) return null
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det = 1.0 / det
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out[0] = b01 * det
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out[1] = (-a22 * a01 + a02 * a21) * det
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out[2] = (a12 * a01 - a02 * a11) * det
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out[3] = b11 * det
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out[4] = (a22 * a00 - a02 * a20) * det
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out[5] = (-a12 * a00 + a02 * a10) * det
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out[6] = b21 * det
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out[7] = (-a21 * a00 + a01 * a20) * det
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out[8] = (a11 * a00 - a01 * a10) * det
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return out
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}
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