/*
* Copyright (c) 2005–2012 Goethe Center for Scientific Computing - Simulation and Modelling (G-CSC Frankfurt)
* Copyright (c) 2012-2015 Goethe Center for Scientific Computing - Computational Neuroscience (G-CSC Frankfurt)
*
* This file is part of NeuGen.
*
* NeuGen is free software: you can redistribute it and/or modify
* it under the terms of the GNU Lesser General Public License version 3
* as published by the Free Software Foundation.
*
* see: http://opensource.org/licenses/LGPL-3.0
* file://path/to/NeuGen/LICENSE
*
* NeuGen is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU Lesser General Public License for more details.
*
* This version of NeuGen includes copyright notice and attribution requirements.
* According to the LGPL this information must be displayed even if you modify
* the source code of NeuGen. The copyright statement/attribution may not be removed.
*
* Attribution Requirements:
*
* If you create derived work you must do the following regarding copyright
* notice and author attribution.
*
* Add an additional notice, stating that you modified NeuGen. In addition
* you must cite the publications listed below. A suitable notice might read
* "NeuGen source code modified by YourName 2012".
*
* Note, that these requirements are in full accordance with the LGPL v3
* (see 7. Additional Terms, b).
*
* Publications:
*
* S. Wolf, S. Grein, G. Queisser. NeuGen 2.0 -
* Employing NeuGen 2.0 to automatically generate realistic
* morphologies of hippocapal neurons and neural networks in 3D.
* Neuroinformatics, 2013, 11(2), pp. 137-148, doi: 10.1007/s12021-012-9170-1
*
*
* J. P. Eberhard, A. Wanner, G. Wittum. NeuGen -
* A tool for the generation of realistic morphology
* of cortical neurons and neural networks in 3D.
* Neurocomputing, 70(1-3), pp. 327-343, doi: 10.1016/j.neucom.2006.01.028
*
*/
package org.neugen.geometry3d;
import javax.vecmath.Vector3f;
public class Util {
public Util() {
}
public static float getDeterminant(Vector3f v1, Vector3f v2, Vector3f v3) {
float determinant = v1.x * v2.y * v3.z - v1.x * v3.y * v2.y - v2.x * v1.y * v3.z + v2.x * v3.y * v1.z + v3.x * v1.y * v2.z - v3.x * v2.y * v1.z;
return determinant;
}
}