| [5673] | 1 | /* | 
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 | 2 |    orxonox - the future of 3D-vertical-scrollers | 
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| [5661] | 3 |  | 
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| [5673] | 4 |    Copyright (C) 2004 orx | 
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 | 5 |  | 
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 | 6 |    This program is free software; you can redistribute it and/or modify | 
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 | 7 |    it under the terms of the GNU General Public License as published by | 
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 | 8 |    the Free Software Foundation; either version 2, or (at your option) | 
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 | 9 |    any later version. | 
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 | 10 |  | 
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 | 11 | ### File Specific: | 
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 | 12 |    main-programmer: Benjamin Grauer | 
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 | 13 |    co-programmer: Patrick Boenzli | 
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 | 14 | */ | 
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 | 15 | #include "matrix.h" | 
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| [5696] | 16 | #include <math.h> | 
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| [5673] | 17 |  | 
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| [5696] | 18 | #ifdef DEBUG | 
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 | 19 | #include "debug.h" | 
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 | 20 | #else | 
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| [5661] | 21 | #include <stdio.h> | 
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| [5696] | 22 | #define PRINT(x) printf | 
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 | 23 | #endif | 
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| [5661] | 24 |  | 
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| [5696] | 25 | /** | 
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 | 26 |  * constructs a Matrix from all Parameters in a Row | 
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 | 27 |  * @param m11 [0][0] | 
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 | 28 |  * @param m12 [0][1] | 
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 | 29 |  * @param m13 [0][2] | 
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 | 30 |  * @param m21 [1][0] | 
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 | 31 |  * @param m22 [1][1] | 
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 | 32 |  * @param m23 [1][2] | 
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 | 33 |  * @param m31 [2][0] | 
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 | 34 |  * @param m32 [2][1] | 
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 | 35 |  * @param m33 [2][2] | 
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 | 36 |  */ | 
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 | 37 | Matrix::Matrix ( float m11, float m12, float m13, | 
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 | 38 |              float m21, float m22, float m23, | 
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 | 39 |              float m31, float m32, float m33 ) | 
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 | 40 | { | 
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 | 41 |   this->m11 = m11; this->m12 = m12; this->m13 = m13; | 
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 | 42 |   this->m21 = m21; this->m22 = m22; this->m23 = m23; | 
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 | 43 |   this->m31 = m31; this->m32 = m32; this->m33 = m33; | 
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 | 44 | }; | 
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| [5662] | 45 |  | 
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| [5696] | 46 | /** | 
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 | 47 |  * creates a Matrix out of an Array of floats with size [3][3] | 
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 | 48 |  * @param m the Matrix stored in an Array | 
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 | 49 |  */ | 
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 | 50 | Matrix::Matrix(const float m[3][3]) | 
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 | 51 | { | 
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 | 52 |   this->m11 = m[0][0]; this->m12 = m[0][1]; this->m13 = m[0][2]; | 
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 | 53 |   this->m21 = m[1][0]; this->m22 = m[1][1]; this->m23 = m[1][2]; | 
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 | 54 |   this->m31 = m[2][0]; this->m32 = m[2][1]; this->m33 = m[2][2]; | 
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 | 55 | }; | 
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 | 56 |  | 
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 | 57 |  | 
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 | 58 | /** | 
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 | 59 |  * adds a Matrix to this one returning the result | 
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 | 60 |  * @param m the Matrix to add to this one | 
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 | 61 |  * @returns a copy of this Matrix added m | 
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 | 62 |  */ | 
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 | 63 | Matrix Matrix::operator+ (const Matrix& m) const | 
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 | 64 | { | 
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 | 65 |   return Matrix (this->m11 + m.m11, this->m12 + m.m12, this->m13 + m.m13, | 
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 | 66 |                  this->m21 + m.m21, this->m22 + m.m22, this->m23 + m.m23, | 
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 | 67 |                  this->m31 + m.m31, this->m32 + m.m32, this->m33 + m.m33); | 
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 | 68 | } | 
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 | 69 |  | 
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 | 70 | /** | 
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 | 71 |  * sustracts a Matrix from this one returning the result | 
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 | 72 |  * @param m the Matrix to substract from this one | 
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 | 73 |  * @returns a copy of this Matrix substracted m | 
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 | 74 |  */ | 
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 | 75 | Matrix Matrix::operator- (const Matrix& m) const | 
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 | 76 | { | 
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 | 77 |   return Matrix (this->m11 - m.m11, this->m12 - m.m12, this->m13 - m.m13, | 
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 | 78 |                  this->m21 - m.m21, this->m22 - m.m22, this->m23 - m.m23, | 
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 | 79 |                  this->m31 - m.m31, this->m32 - m.m32, this->m33 - m.m33); | 
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 | 80 | } | 
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 | 81 |  | 
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 | 82 | /** | 
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 | 83 |  * multiplies each value of a copu of this Matrix by k | 
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 | 84 |  * @param k the multiplication factor | 
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 | 85 |  * @returns a copy of this Matrix multiplied by k | 
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 | 86 |  */ | 
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 | 87 | Matrix Matrix::operator* (float k) const | 
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 | 88 | { | 
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 | 89 |   return Matrix(this->m11 * k, this->m12 * k, this->m13 * k, | 
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 | 90 |                 this->m21 * k, this->m22 * k, this->m23 * k, | 
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 | 91 |                 this->m31 * k, this->m32 * k, this->m33 * k); | 
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 | 92 | } | 
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 | 93 |  | 
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 | 94 | /** | 
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 | 95 |  * multiplies the Matrix by a Vector returning a Vector of the result | 
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 | 96 |  * @param v the Vector the matrix will be multiplied with | 
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 | 97 |  * @returns the result of the Multiplication | 
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 | 98 |  */ | 
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 | 99 | Vector Matrix::operator* (const Vector& v) const | 
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 | 100 | { | 
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 | 101 |   return Vector (this->m11*v.x + this->m12*v.y + this->m13*v.z, | 
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 | 102 |                  this->m21*v.x + this->m22*v.y + this->m23*v.z, | 
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 | 103 |                  this->m31*v.x + this->m32*v.y + this->m33*v.z ); | 
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 | 104 | } | 
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 | 105 |  | 
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 | 106 | /** | 
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 | 107 |  * @returns a Transposed copy of this Matrix | 
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 | 108 |  */ | 
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 | 109 | Matrix Matrix::getTransposed() const | 
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 | 110 | { | 
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 | 111 |   return Matrix( this->m11, this->m21, this->m31, | 
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 | 112 |                  this->m12, this->m22, this->m32, | 
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 | 113 |                  this->m13, this->m23, this->m33); | 
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 | 114 | } | 
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 | 115 |  | 
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 | 116 | /** | 
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 | 117 |  * converts the Matrix into 3 Vector, and returns them in m1, m2 and m3 | 
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 | 118 |  * @param m1 the first Column of the Matrix as a Vector | 
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 | 119 |  * @param m2 the second Column of the Matrix as a Vector | 
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 | 120 |  * @param m3 the third Column of the Matrix as a Vector | 
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 | 121 |  */ | 
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 | 122 | void Matrix::toVectors(Vector& m1, Vector& m2, Vector& m3) const | 
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 | 123 | { | 
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 | 124 |   m1 = Vector(this->m11, this->m21, this->m31); | 
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 | 125 |   m2 = Vector(this->m12, this->m22, this->m32); | 
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 | 126 |   m3 = Vector(this->m13, this->m23, this->m33); | 
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 | 127 | } | 
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 | 128 |  | 
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 | 129 | /** | 
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 | 130 |  * @returns the Determinant of this Matrix | 
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 | 131 |  */ | 
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 | 132 | float Matrix::getDeterminant() const | 
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 | 133 | { | 
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 | 134 |   return this->m11*(this->m22*this->m33 - this->m23*this->m32) - | 
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 | 135 |       this->m12*(this->m21*this->m33 - this->m23*this->m31) + | 
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 | 136 |       this->m13*(this->m21*this->m32 - this->m22*this->m31); | 
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 | 137 | } | 
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 | 138 |  | 
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 | 139 | /** | 
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 | 140 |  * calculates an returns the EingenValues of this Matrix. | 
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 | 141 |  * @param eigneValues the Values calculated in a Vector | 
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 | 142 |  * @returns the Count of found eigenValues | 
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 | 143 |  * | 
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 | 144 |  * This Function calculates the EigenValues of a 3x3-Matrix explicitly. | 
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 | 145 |  * the Returned value eigenValues has the Values stored in Vector form | 
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 | 146 |  * The Vector will be filled upside down, meaning if the count of found | 
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 | 147 |  * eingenValues is 1 the only value will be located in eigneValues.x | 
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 | 148 |  */ | 
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| [5675] | 149 | int Matrix::getEigenValues(Vector& eigenValues) const | 
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| [5662] | 150 | { | 
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| [5675] | 151 |   int retVal = -1; | 
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| [5661] | 152 |   float a = 0; | 
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 | 153 |   float b = 0; | 
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 | 154 |  | 
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 | 155 |   float c[3]; | 
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 | 156 |  | 
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 | 157 |   // c[0] is the determinante of mat | 
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| [5662] | 158 |   c[0] = this->m11 * this->m22 * this->m33 + | 
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 | 159 |       2* this->m12 * this->m13 * this->m23 - | 
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 | 160 |       this->m11 * this->m23 * this->m23 - | 
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 | 161 |       this->m22 * this->m13 * this->m13 - | 
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 | 162 |       this->m33 * this->m12 * this->m12; | 
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| [5661] | 163 |  | 
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 | 164 |   // c[1] is the trace of a | 
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| [5662] | 165 |   c[1] = this->m11 * this->m22 - | 
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 | 166 |       this->m12 * this->m12 + | 
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 | 167 |       this->m11 * this->m33 - | 
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 | 168 |       this->m13 * this->m13 + | 
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 | 169 |       this->m22 * this->m33 - | 
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 | 170 |       this->m23 * this->m23; | 
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| [5661] | 171 |  | 
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 | 172 |   // c[2] is the sum of the diagonal elements | 
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| [5662] | 173 |   c[2] = this->m11 + | 
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 | 174 |       this->m22 + | 
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 | 175 |       this->m33; | 
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| [5661] | 176 |  | 
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 | 177 |  | 
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 | 178 |   // Computing the roots: | 
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 | 179 |   a = (3.0*c[1] - c[2]*c[2]) / 3.0; | 
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 | 180 |   b = (-2.0*c[2]*c[2]*c[2] + 9.0*c[1]*c[2] - 27.0*c[0]) / 27.0; | 
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 | 181 |  | 
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 | 182 |   float Q = b*b/4.0 + a*a*a/27.0; | 
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 | 183 |  | 
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| [5662] | 184 |   // 3 distinct Roots | 
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| [5661] | 185 |   if (Q < 0) | 
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 | 186 |   { | 
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 | 187 |     float psi = atan2(sqrt(-Q), -b/2.0); | 
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 | 188 |     float p = sqrt((b/2.0)*(b/2.0) - Q); | 
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 | 189 |  | 
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| [5675] | 190 |     eigenValues.x = c[2]/3.0 + 2 * pow(p, 1/3.0) * cos(psi/3.0); | 
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 | 191 |     eigenValues.y = c[2]/3.0 - pow(p, 1/3.0) * (cos(psi/3.0) | 
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| [5661] | 192 |         + sqrt(3.0) * sin(psi/3.0)); | 
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| [5675] | 193 |     eigenValues.z = c[2]/3.0 - pow(p, 1/3.0) * (cos(psi/3.0) | 
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| [5661] | 194 |         - sqrt(3.0) * sin(psi/3.0)); | 
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| [5675] | 195 |     retVal = 3; | 
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| [5661] | 196 |   } | 
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| [5662] | 197 |   // 2 Distinct Roots | 
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| [5661] | 198 |   else if (Q == 0) | 
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 | 199 |   { | 
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| [5675] | 200 |     eigenValues.x = eigenValues.y = c[2]/3.0 + pow(b/2.0, 1.0/3.0); | 
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 | 201 |     eigenValues.z = c[2]/3.0 + 2* pow(b/2.0, 1.0/3.0); | 
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 | 202 |     retVal = 2; | 
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| [5661] | 203 |   } | 
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| [5662] | 204 |   // 1 Root (not calculating anything.) | 
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| [5661] | 205 |   else if (Q > 0) | 
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 | 206 |   { | 
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| [5675] | 207 |     eigenValues.x = eigenValues.y = eigenValues.z = 1; | 
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 | 208 |     retVal = 1; | 
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| [5661] | 209 |   } | 
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| [5675] | 210 |   return retVal; | 
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| [5665] | 211 | } | 
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| [5661] | 212 |  | 
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| [5696] | 213 | /** | 
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 | 214 |  * calculates and returns the EigenVectors of this function as Vectors. | 
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 | 215 |  * @param eigVc1 the first eigenVector will be stored here. | 
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 | 216 |  * @param eigVc2 the second eigenVector will be stored here. | 
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 | 217 |  * @param eigVc3 the third eigenVector will be stored here. | 
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 | 218 |  */ | 
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| [5675] | 219 | void Matrix::getEigenVectors(Vector& eigVc1, Vector& eigVc2, Vector& eigVc3) const | 
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| [5665] | 220 | { | 
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| [5675] | 221 |   Vector eigenValues; | 
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 | 222 |   int eigenValuesCount = this->getEigenValues(eigenValues); | 
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| [5665] | 223 |  | 
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| [5677] | 224 |   if (eigenValuesCount == 2 || eigenValuesCount == 3) | 
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 | 225 |   { | 
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 | 226 |     /* eigenvec creation */ | 
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 | 227 |     eigVc1.x = -1/this->m13*(this->m33 - eigenValues.x) + | 
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 | 228 |         (this->m32*(-this->m31*this->m32 + this->m12*this->m33 - this->m12*eigenValues.x)) / | 
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 | 229 |         this->m13*(-this->m13*this->m22 - this->m12*this->m23 + this->m13*eigenValues.x); | 
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| [5668] | 230 |  | 
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| [5677] | 231 |     eigVc1.y = -( -this->m13*this->m23 + this->m12*this->m33 - this->m12*eigenValues.x) / | 
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 | 232 |         (-this->m31*this->m22 + this->m12*this->m23 + this->m13*eigenValues.x); | 
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| [5662] | 233 |  | 
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| [5677] | 234 |     eigVc1.z = 1.0f; | 
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| [5664] | 235 |  | 
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| [5677] | 236 |     eigVc2.x = -1/this->m13*(this->m33 - eigenValues.y) + | 
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 | 237 |         (this->m32*(-this->m31*this->m32 + this->m12*this->m33 - this->m12*eigenValues.y)) / | 
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 | 238 |         this->m13*(-this->m13*this->m22 - this->m12*this->m23 + this->m13*eigenValues.y); | 
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| [5664] | 239 |  | 
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| [5677] | 240 |     eigVc2.y = -( -this->m13*this->m23 + this->m12*this->m33 - this->m12*eigenValues.y) / | 
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 | 241 |         (-this->m31*this->m22 + this->m12*this->m23 + this->m13*eigenValues.y); | 
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| [5664] | 242 |  | 
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| [5677] | 243 |     eigVc2.z = 1.0f; | 
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| [5675] | 244 |  | 
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| [5677] | 245 |     eigVc3 = eigVc1.cross(eigVc2); | 
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| [7711] | 246 |  | 
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 | 247 |     eigVc2 = eigVc3.cross(eigVc1); | 
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| [5677] | 248 |   } | 
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 | 249 |   else if (eigenValuesCount == 1) | 
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 | 250 |   { | 
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 | 251 |     eigVc1 = Vector(1,0,0); | 
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 | 252 |     eigVc2 = Vector(0,1,0); | 
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 | 253 |     eigVc3 = Vector(0,0,1); | 
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 | 254 |   } | 
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| [5675] | 255 |   eigVc1.normalize(); | 
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 | 256 |   eigVc2.normalize(); | 
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 | 257 |   eigVc3.normalize(); | 
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| [7711] | 258 |  | 
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 | 259 |   if (!(eigVc1.cross(eigVc3) == eigVc2)) | 
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 | 260 |   { | 
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 | 261 |     eigVc3.cross(eigVc1); | 
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 | 262 | //     eigVc2.debug(); | 
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 | 263 |   } | 
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 | 264 | /*  printf("ok\n")*/; | 
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| [5662] | 265 | } | 
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| [5661] | 266 |  | 
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| [5696] | 267 | /** | 
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 | 268 |  * prints out some nice debug information | 
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 | 269 |  */ | 
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| [5662] | 270 | void Matrix::debug() const | 
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 | 271 | { | 
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| [5668] | 272 |   printf("| %f | %f | %f |\n", this->m11, this->m12, this->m13 ); | 
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 | 273 |   printf("| %f | %f | %f |\n", this->m21, this->m22, this->m23 ); | 
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 | 274 |   printf("| %f | %f | %f |\n", this->m31, this->m32, this->m33 ); | 
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| [5661] | 275 |  | 
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 | 276 | } | 
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| [5662] | 277 |  | 
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