1 | /* |
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2 | Copyright (c) 2003-2006 Gino van den Bergen / Erwin Coumans http://continuousphysics.com/Bullet/ |
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3 | |
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4 | This software is provided 'as-is', without any express or implied warranty. |
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5 | In no event will the authors be held liable for any damages arising from the use of this software. |
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6 | Permission is granted to anyone to use this software for any purpose, |
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7 | including commercial applications, and to alter it and redistribute it freely, |
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8 | subject to the following restrictions: |
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9 | |
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10 | 1. The origin of this software must not be misrepresented; you must not claim that you wrote the original software. If you use this software in a product, an acknowledgment in the product documentation would be appreciated but is not required. |
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11 | 2. Altered source versions must be plainly marked as such, and must not be misrepresented as being the original software. |
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12 | 3. This notice may not be removed or altered from any source distribution. |
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13 | */ |
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14 | |
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15 | |
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16 | #ifndef btMatrix3x3_H |
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17 | #define btMatrix3x3_H |
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18 | |
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19 | #include "btScalar.h" |
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20 | |
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21 | #include "btVector3.h" |
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22 | #include "btQuaternion.h" |
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23 | |
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24 | |
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25 | |
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26 | /**@brief The btMatrix3x3 class implements a 3x3 rotation matrix, to perform linear algebra in combination with btQuaternion, btTransform and btVector3. |
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27 | * Make sure to only include a pure orthogonal matrix without scaling. */ |
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28 | class btMatrix3x3 { |
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29 | public: |
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30 | /** @brief No initializaion constructor */ |
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31 | btMatrix3x3 () {} |
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32 | |
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33 | // explicit btMatrix3x3(const btScalar *m) { setFromOpenGLSubMatrix(m); } |
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34 | |
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35 | /**@brief Constructor from Quaternion */ |
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36 | explicit btMatrix3x3(const btQuaternion& q) { setRotation(q); } |
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37 | /* |
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38 | template <typename btScalar> |
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39 | Matrix3x3(const btScalar& yaw, const btScalar& pitch, const btScalar& roll) |
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40 | { |
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41 | setEulerYPR(yaw, pitch, roll); |
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42 | } |
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43 | */ |
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44 | /** @brief Constructor with row major formatting */ |
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45 | btMatrix3x3(const btScalar& xx, const btScalar& xy, const btScalar& xz, |
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46 | const btScalar& yx, const btScalar& yy, const btScalar& yz, |
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47 | const btScalar& zx, const btScalar& zy, const btScalar& zz) |
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48 | { |
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49 | setValue(xx, xy, xz, |
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50 | yx, yy, yz, |
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51 | zx, zy, zz); |
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52 | } |
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53 | /** @brief Copy constructor */ |
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54 | SIMD_FORCE_INLINE btMatrix3x3 (const btMatrix3x3& other) |
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55 | { |
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56 | m_el[0] = other.m_el[0]; |
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57 | m_el[1] = other.m_el[1]; |
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58 | m_el[2] = other.m_el[2]; |
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59 | } |
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60 | /** @brief Assignment Operator */ |
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61 | SIMD_FORCE_INLINE btMatrix3x3& operator=(const btMatrix3x3& other) |
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62 | { |
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63 | m_el[0] = other.m_el[0]; |
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64 | m_el[1] = other.m_el[1]; |
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65 | m_el[2] = other.m_el[2]; |
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66 | return *this; |
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67 | } |
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68 | |
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69 | /** @brief Get a column of the matrix as a vector |
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70 | * @param i Column number 0 indexed */ |
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71 | SIMD_FORCE_INLINE btVector3 getColumn(int i) const |
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72 | { |
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73 | return btVector3(m_el[0][i],m_el[1][i],m_el[2][i]); |
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74 | } |
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75 | |
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76 | |
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77 | /** @brief Get a row of the matrix as a vector |
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78 | * @param i Row number 0 indexed */ |
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79 | SIMD_FORCE_INLINE const btVector3& getRow(int i) const |
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80 | { |
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81 | btFullAssert(0 <= i && i < 3); |
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82 | return m_el[i]; |
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83 | } |
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84 | |
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85 | /** @brief Get a mutable reference to a row of the matrix as a vector |
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86 | * @param i Row number 0 indexed */ |
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87 | SIMD_FORCE_INLINE btVector3& operator[](int i) |
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88 | { |
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89 | btFullAssert(0 <= i && i < 3); |
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90 | return m_el[i]; |
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91 | } |
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92 | |
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93 | /** @brief Get a const reference to a row of the matrix as a vector |
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94 | * @param i Row number 0 indexed */ |
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95 | SIMD_FORCE_INLINE const btVector3& operator[](int i) const |
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96 | { |
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97 | btFullAssert(0 <= i && i < 3); |
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98 | return m_el[i]; |
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99 | } |
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100 | |
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101 | /** @brief Multiply by the target matrix on the right |
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102 | * @param m Rotation matrix to be applied |
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103 | * Equivilant to this = this * m */ |
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104 | btMatrix3x3& operator*=(const btMatrix3x3& m); |
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105 | |
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106 | /** @brief Set from a carray of btScalars |
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107 | * @param m A pointer to the beginning of an array of 9 btScalars */ |
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108 | void setFromOpenGLSubMatrix(const btScalar *m) |
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109 | { |
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110 | m_el[0].setValue(m[0],m[4],m[8]); |
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111 | m_el[1].setValue(m[1],m[5],m[9]); |
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112 | m_el[2].setValue(m[2],m[6],m[10]); |
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113 | |
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114 | } |
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115 | /** @brief Set the values of the matrix explicitly (row major) |
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116 | * @param xx Top left |
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117 | * @param xy Top Middle |
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118 | * @param xz Top Right |
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119 | * @param yx Middle Left |
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120 | * @param yy Middle Middle |
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121 | * @param yz Middle Right |
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122 | * @param zx Bottom Left |
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123 | * @param zy Bottom Middle |
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124 | * @param zz Bottom Right*/ |
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125 | void setValue(const btScalar& xx, const btScalar& xy, const btScalar& xz, |
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126 | const btScalar& yx, const btScalar& yy, const btScalar& yz, |
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127 | const btScalar& zx, const btScalar& zy, const btScalar& zz) |
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128 | { |
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129 | m_el[0].setValue(xx,xy,xz); |
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130 | m_el[1].setValue(yx,yy,yz); |
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131 | m_el[2].setValue(zx,zy,zz); |
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132 | } |
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133 | |
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134 | /** @brief Set the matrix from a quaternion |
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135 | * @param q The Quaternion to match */ |
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136 | void setRotation(const btQuaternion& q) |
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137 | { |
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138 | btScalar d = q.length2(); |
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139 | btFullAssert(d != btScalar(0.0)); |
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140 | btScalar s = btScalar(2.0) / d; |
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141 | btScalar xs = q.x() * s, ys = q.y() * s, zs = q.z() * s; |
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142 | btScalar wx = q.w() * xs, wy = q.w() * ys, wz = q.w() * zs; |
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143 | btScalar xx = q.x() * xs, xy = q.x() * ys, xz = q.x() * zs; |
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144 | btScalar yy = q.y() * ys, yz = q.y() * zs, zz = q.z() * zs; |
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145 | setValue(btScalar(1.0) - (yy + zz), xy - wz, xz + wy, |
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146 | xy + wz, btScalar(1.0) - (xx + zz), yz - wx, |
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147 | xz - wy, yz + wx, btScalar(1.0) - (xx + yy)); |
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148 | } |
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149 | |
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150 | |
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151 | /** @brief Set the matrix from euler angles using YPR around YXZ respectively |
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152 | * @param yaw Yaw about Y axis |
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153 | * @param pitch Pitch about X axis |
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154 | * @param roll Roll about Z axis |
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155 | */ |
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156 | void setEulerYPR(const btScalar& yaw, const btScalar& pitch, const btScalar& roll) |
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157 | { |
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158 | setEulerZYX(roll, pitch, yaw); |
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159 | } |
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160 | |
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161 | /** @brief Set the matrix from euler angles YPR around ZYX axes |
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162 | * @param eulerX Roll about X axis |
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163 | * @param eulerY Pitch around Y axis |
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164 | * @param eulerZ Yaw aboud Z axis |
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165 | * |
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166 | * These angles are used to produce a rotation matrix. The euler |
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167 | * angles are applied in ZYX order. I.e a vector is first rotated |
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168 | * about X then Y and then Z |
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169 | **/ |
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170 | void setEulerZYX(btScalar eulerX,btScalar eulerY,btScalar eulerZ) { |
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171 | ///@todo proposed to reverse this since it's labeled zyx but takes arguments xyz and it will match all other parts of the code |
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172 | btScalar ci ( btCos(eulerX)); |
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173 | btScalar cj ( btCos(eulerY)); |
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174 | btScalar ch ( btCos(eulerZ)); |
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175 | btScalar si ( btSin(eulerX)); |
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176 | btScalar sj ( btSin(eulerY)); |
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177 | btScalar sh ( btSin(eulerZ)); |
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178 | btScalar cc = ci * ch; |
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179 | btScalar cs = ci * sh; |
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180 | btScalar sc = si * ch; |
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181 | btScalar ss = si * sh; |
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182 | |
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183 | setValue(cj * ch, sj * sc - cs, sj * cc + ss, |
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184 | cj * sh, sj * ss + cc, sj * cs - sc, |
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185 | -sj, cj * si, cj * ci); |
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186 | } |
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187 | |
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188 | /**@brief Set the matrix to the identity */ |
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189 | void setIdentity() |
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190 | { |
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191 | setValue(btScalar(1.0), btScalar(0.0), btScalar(0.0), |
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192 | btScalar(0.0), btScalar(1.0), btScalar(0.0), |
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193 | btScalar(0.0), btScalar(0.0), btScalar(1.0)); |
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194 | } |
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195 | |
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196 | static const btMatrix3x3& getIdentity() |
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197 | { |
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198 | static const btMatrix3x3 identityMatrix(btScalar(1.0), btScalar(0.0), btScalar(0.0), |
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199 | btScalar(0.0), btScalar(1.0), btScalar(0.0), |
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200 | btScalar(0.0), btScalar(0.0), btScalar(1.0)); |
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201 | return identityMatrix; |
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202 | } |
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203 | |
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204 | /**@brief Fill the values of the matrix into a 9 element array |
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205 | * @param m The array to be filled */ |
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206 | void getOpenGLSubMatrix(btScalar *m) const |
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207 | { |
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208 | m[0] = btScalar(m_el[0].x()); |
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209 | m[1] = btScalar(m_el[1].x()); |
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210 | m[2] = btScalar(m_el[2].x()); |
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211 | m[3] = btScalar(0.0); |
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212 | m[4] = btScalar(m_el[0].y()); |
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213 | m[5] = btScalar(m_el[1].y()); |
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214 | m[6] = btScalar(m_el[2].y()); |
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215 | m[7] = btScalar(0.0); |
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216 | m[8] = btScalar(m_el[0].z()); |
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217 | m[9] = btScalar(m_el[1].z()); |
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218 | m[10] = btScalar(m_el[2].z()); |
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219 | m[11] = btScalar(0.0); |
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220 | } |
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221 | |
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222 | /**@brief Get the matrix represented as a quaternion |
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223 | * @param q The quaternion which will be set */ |
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224 | void getRotation(btQuaternion& q) const |
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225 | { |
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226 | btScalar trace = m_el[0].x() + m_el[1].y() + m_el[2].z(); |
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227 | btScalar temp[4]; |
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228 | |
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229 | if (trace > btScalar(0.0)) |
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230 | { |
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231 | btScalar s = btSqrt(trace + btScalar(1.0)); |
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232 | temp[3]=(s * btScalar(0.5)); |
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233 | s = btScalar(0.5) / s; |
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234 | |
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235 | temp[0]=((m_el[2].y() - m_el[1].z()) * s); |
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236 | temp[1]=((m_el[0].z() - m_el[2].x()) * s); |
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237 | temp[2]=((m_el[1].x() - m_el[0].y()) * s); |
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238 | } |
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239 | else |
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240 | { |
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241 | int i = m_el[0].x() < m_el[1].y() ? |
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242 | (m_el[1].y() < m_el[2].z() ? 2 : 1) : |
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243 | (m_el[0].x() < m_el[2].z() ? 2 : 0); |
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244 | int j = (i + 1) % 3; |
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245 | int k = (i + 2) % 3; |
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246 | |
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247 | btScalar s = btSqrt(m_el[i][i] - m_el[j][j] - m_el[k][k] + btScalar(1.0)); |
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248 | temp[i] = s * btScalar(0.5); |
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249 | s = btScalar(0.5) / s; |
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250 | |
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251 | temp[3] = (m_el[k][j] - m_el[j][k]) * s; |
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252 | temp[j] = (m_el[j][i] + m_el[i][j]) * s; |
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253 | temp[k] = (m_el[k][i] + m_el[i][k]) * s; |
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254 | } |
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255 | q.setValue(temp[0],temp[1],temp[2],temp[3]); |
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256 | } |
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257 | |
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258 | /**@brief Get the matrix represented as euler angles around YXZ, roundtrip with setEulerYPR |
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259 | * @param yaw Yaw around Y axis |
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260 | * @param pitch Pitch around X axis |
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261 | * @param roll around Z axis */ |
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262 | void getEulerYPR(btScalar& yaw, btScalar& pitch, btScalar& roll) const |
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263 | { |
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264 | |
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265 | // first use the normal calculus |
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266 | yaw = btScalar(btAtan2(m_el[1].x(), m_el[0].x())); |
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267 | pitch = btScalar(btAsin(-m_el[2].x())); |
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268 | roll = btScalar(btAtan2(m_el[2].y(), m_el[2].z())); |
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269 | |
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270 | // on pitch = +/-HalfPI |
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271 | if (btFabs(pitch)==SIMD_HALF_PI) |
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272 | { |
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273 | if (yaw>0) |
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274 | yaw-=SIMD_PI; |
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275 | else |
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276 | yaw+=SIMD_PI; |
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277 | |
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278 | if (roll>0) |
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279 | roll-=SIMD_PI; |
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280 | else |
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281 | roll+=SIMD_PI; |
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282 | } |
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283 | }; |
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284 | |
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285 | |
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286 | /**@brief Get the matrix represented as euler angles around ZYX |
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287 | * @param yaw Yaw around X axis |
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288 | * @param pitch Pitch around Y axis |
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289 | * @param roll around X axis |
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290 | * @param solution_number Which solution of two possible solutions ( 1 or 2) are possible values*/ |
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291 | void getEulerZYX(btScalar& yaw, btScalar& pitch, btScalar& roll, unsigned int solution_number = 1) const |
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292 | { |
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293 | struct Euler{btScalar yaw, pitch, roll;}; |
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294 | Euler euler_out; |
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295 | Euler euler_out2; //second solution |
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296 | //get the pointer to the raw data |
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297 | |
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298 | // Check that pitch is not at a singularity |
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299 | if (btFabs(m_el[2].x()) >= 1) |
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300 | { |
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301 | euler_out.yaw = 0; |
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302 | euler_out2.yaw = 0; |
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303 | |
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304 | // From difference of angles formula |
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305 | btScalar delta = btAtan2(m_el[0].x(),m_el[0].z()); |
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306 | if (m_el[2].x() > 0) //gimbal locked up |
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307 | { |
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308 | euler_out.pitch = SIMD_PI / btScalar(2.0); |
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309 | euler_out2.pitch = SIMD_PI / btScalar(2.0); |
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310 | euler_out.roll = euler_out.pitch + delta; |
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311 | euler_out2.roll = euler_out.pitch + delta; |
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312 | } |
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313 | else // gimbal locked down |
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314 | { |
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315 | euler_out.pitch = -SIMD_PI / btScalar(2.0); |
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316 | euler_out2.pitch = -SIMD_PI / btScalar(2.0); |
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317 | euler_out.roll = -euler_out.pitch + delta; |
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318 | euler_out2.roll = -euler_out.pitch + delta; |
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319 | } |
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320 | } |
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321 | else |
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322 | { |
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323 | euler_out.pitch = - btAsin(m_el[2].x()); |
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324 | euler_out2.pitch = SIMD_PI - euler_out.pitch; |
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325 | |
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326 | euler_out.roll = btAtan2(m_el[2].y()/btCos(euler_out.pitch), |
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327 | m_el[2].z()/btCos(euler_out.pitch)); |
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328 | euler_out2.roll = btAtan2(m_el[2].y()/btCos(euler_out2.pitch), |
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329 | m_el[2].z()/btCos(euler_out2.pitch)); |
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330 | |
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331 | euler_out.yaw = btAtan2(m_el[1].x()/btCos(euler_out.pitch), |
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332 | m_el[0].x()/btCos(euler_out.pitch)); |
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333 | euler_out2.yaw = btAtan2(m_el[1].x()/btCos(euler_out2.pitch), |
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334 | m_el[0].x()/btCos(euler_out2.pitch)); |
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335 | } |
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336 | |
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337 | if (solution_number == 1) |
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338 | { |
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339 | yaw = euler_out.yaw; |
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340 | pitch = euler_out.pitch; |
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341 | roll = euler_out.roll; |
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342 | } |
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343 | else |
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344 | { |
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345 | yaw = euler_out2.yaw; |
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346 | pitch = euler_out2.pitch; |
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347 | roll = euler_out2.roll; |
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348 | } |
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349 | } |
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350 | |
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351 | /**@brief Create a scaled copy of the matrix |
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352 | * @param s Scaling vector The elements of the vector will scale each column */ |
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353 | |
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354 | btMatrix3x3 scaled(const btVector3& s) const |
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355 | { |
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356 | return btMatrix3x3(m_el[0].x() * s.x(), m_el[0].y() * s.y(), m_el[0].z() * s.z(), |
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357 | m_el[1].x() * s.x(), m_el[1].y() * s.y(), m_el[1].z() * s.z(), |
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358 | m_el[2].x() * s.x(), m_el[2].y() * s.y(), m_el[2].z() * s.z()); |
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359 | } |
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360 | |
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361 | /**@brief Return the determinant of the matrix */ |
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362 | btScalar determinant() const; |
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363 | /**@brief Return the adjoint of the matrix */ |
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364 | btMatrix3x3 adjoint() const; |
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365 | /**@brief Return the matrix with all values non negative */ |
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366 | btMatrix3x3 absolute() const; |
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367 | /**@brief Return the transpose of the matrix */ |
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368 | btMatrix3x3 transpose() const; |
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369 | /**@brief Return the inverse of the matrix */ |
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370 | btMatrix3x3 inverse() const; |
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371 | |
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372 | btMatrix3x3 transposeTimes(const btMatrix3x3& m) const; |
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373 | btMatrix3x3 timesTranspose(const btMatrix3x3& m) const; |
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374 | |
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375 | SIMD_FORCE_INLINE btScalar tdotx(const btVector3& v) const |
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376 | { |
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377 | return m_el[0].x() * v.x() + m_el[1].x() * v.y() + m_el[2].x() * v.z(); |
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378 | } |
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379 | SIMD_FORCE_INLINE btScalar tdoty(const btVector3& v) const |
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380 | { |
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381 | return m_el[0].y() * v.x() + m_el[1].y() * v.y() + m_el[2].y() * v.z(); |
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382 | } |
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383 | SIMD_FORCE_INLINE btScalar tdotz(const btVector3& v) const |
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384 | { |
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385 | return m_el[0].z() * v.x() + m_el[1].z() * v.y() + m_el[2].z() * v.z(); |
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386 | } |
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387 | |
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388 | |
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389 | /**@brief diagonalizes this matrix by the Jacobi method. |
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390 | * @param rot stores the rotation from the coordinate system in which the matrix is diagonal to the original |
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391 | * coordinate system, i.e., old_this = rot * new_this * rot^T. |
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392 | * @param threshold See iteration |
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393 | * @param iteration The iteration stops when all off-diagonal elements are less than the threshold multiplied |
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394 | * by the sum of the absolute values of the diagonal, or when maxSteps have been executed. |
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395 | * |
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396 | * Note that this matrix is assumed to be symmetric. |
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397 | */ |
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398 | void diagonalize(btMatrix3x3& rot, btScalar threshold, int maxSteps) |
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399 | { |
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400 | rot.setIdentity(); |
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401 | for (int step = maxSteps; step > 0; step--) |
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402 | { |
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403 | // find off-diagonal element [p][q] with largest magnitude |
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404 | int p = 0; |
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405 | int q = 1; |
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406 | int r = 2; |
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407 | btScalar max = btFabs(m_el[0][1]); |
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408 | btScalar v = btFabs(m_el[0][2]); |
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409 | if (v > max) |
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410 | { |
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411 | q = 2; |
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412 | r = 1; |
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413 | max = v; |
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414 | } |
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415 | v = btFabs(m_el[1][2]); |
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416 | if (v > max) |
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417 | { |
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418 | p = 1; |
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419 | q = 2; |
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420 | r = 0; |
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421 | max = v; |
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422 | } |
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423 | |
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424 | btScalar t = threshold * (btFabs(m_el[0][0]) + btFabs(m_el[1][1]) + btFabs(m_el[2][2])); |
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425 | if (max <= t) |
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426 | { |
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427 | if (max <= SIMD_EPSILON * t) |
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428 | { |
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429 | return; |
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430 | } |
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431 | step = 1; |
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432 | } |
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433 | |
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434 | // compute Jacobi rotation J which leads to a zero for element [p][q] |
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435 | btScalar mpq = m_el[p][q]; |
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436 | btScalar theta = (m_el[q][q] - m_el[p][p]) / (2 * mpq); |
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437 | btScalar theta2 = theta * theta; |
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438 | btScalar cos; |
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439 | btScalar sin; |
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440 | if (theta2 * theta2 < btScalar(10 / SIMD_EPSILON)) |
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441 | { |
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442 | t = (theta >= 0) ? 1 / (theta + btSqrt(1 + theta2)) |
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443 | : 1 / (theta - btSqrt(1 + theta2)); |
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444 | cos = 1 / btSqrt(1 + t * t); |
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445 | sin = cos * t; |
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446 | } |
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447 | else |
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448 | { |
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449 | // approximation for large theta-value, i.e., a nearly diagonal matrix |
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450 | t = 1 / (theta * (2 + btScalar(0.5) / theta2)); |
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451 | cos = 1 - btScalar(0.5) * t * t; |
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452 | sin = cos * t; |
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453 | } |
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454 | |
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455 | // apply rotation to matrix (this = J^T * this * J) |
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456 | m_el[p][q] = m_el[q][p] = 0; |
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457 | m_el[p][p] -= t * mpq; |
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458 | m_el[q][q] += t * mpq; |
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459 | btScalar mrp = m_el[r][p]; |
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460 | btScalar mrq = m_el[r][q]; |
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461 | m_el[r][p] = m_el[p][r] = cos * mrp - sin * mrq; |
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462 | m_el[r][q] = m_el[q][r] = cos * mrq + sin * mrp; |
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463 | |
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464 | // apply rotation to rot (rot = rot * J) |
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465 | for (int i = 0; i < 3; i++) |
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466 | { |
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467 | btVector3& row = rot[i]; |
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468 | mrp = row[p]; |
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469 | mrq = row[q]; |
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470 | row[p] = cos * mrp - sin * mrq; |
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471 | row[q] = cos * mrq + sin * mrp; |
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472 | } |
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473 | } |
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474 | } |
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475 | |
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476 | |
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477 | |
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478 | protected: |
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479 | /**@brief Calculate the matrix cofactor |
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480 | * @param r1 The first row to use for calculating the cofactor |
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481 | * @param c1 The first column to use for calculating the cofactor |
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482 | * @param r1 The second row to use for calculating the cofactor |
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483 | * @param c1 The second column to use for calculating the cofactor |
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484 | * See http://en.wikipedia.org/wiki/Cofactor_(linear_algebra) for more details |
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485 | */ |
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486 | btScalar cofac(int r1, int c1, int r2, int c2) const |
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487 | { |
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488 | return m_el[r1][c1] * m_el[r2][c2] - m_el[r1][c2] * m_el[r2][c1]; |
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489 | } |
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490 | ///Data storage for the matrix, each vector is a row of the matrix |
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491 | btVector3 m_el[3]; |
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492 | }; |
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493 | |
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494 | SIMD_FORCE_INLINE btMatrix3x3& |
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495 | btMatrix3x3::operator*=(const btMatrix3x3& m) |
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496 | { |
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497 | setValue(m.tdotx(m_el[0]), m.tdoty(m_el[0]), m.tdotz(m_el[0]), |
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498 | m.tdotx(m_el[1]), m.tdoty(m_el[1]), m.tdotz(m_el[1]), |
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499 | m.tdotx(m_el[2]), m.tdoty(m_el[2]), m.tdotz(m_el[2])); |
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500 | return *this; |
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501 | } |
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502 | |
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503 | SIMD_FORCE_INLINE btScalar |
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504 | btMatrix3x3::determinant() const |
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505 | { |
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506 | return triple((*this)[0], (*this)[1], (*this)[2]); |
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507 | } |
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508 | |
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509 | |
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510 | SIMD_FORCE_INLINE btMatrix3x3 |
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511 | btMatrix3x3::absolute() const |
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512 | { |
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513 | return btMatrix3x3( |
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514 | btFabs(m_el[0].x()), btFabs(m_el[0].y()), btFabs(m_el[0].z()), |
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515 | btFabs(m_el[1].x()), btFabs(m_el[1].y()), btFabs(m_el[1].z()), |
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516 | btFabs(m_el[2].x()), btFabs(m_el[2].y()), btFabs(m_el[2].z())); |
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517 | } |
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518 | |
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519 | SIMD_FORCE_INLINE btMatrix3x3 |
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520 | btMatrix3x3::transpose() const |
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521 | { |
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522 | return btMatrix3x3(m_el[0].x(), m_el[1].x(), m_el[2].x(), |
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523 | m_el[0].y(), m_el[1].y(), m_el[2].y(), |
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524 | m_el[0].z(), m_el[1].z(), m_el[2].z()); |
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525 | } |
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526 | |
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527 | SIMD_FORCE_INLINE btMatrix3x3 |
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528 | btMatrix3x3::adjoint() const |
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529 | { |
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530 | return btMatrix3x3(cofac(1, 1, 2, 2), cofac(0, 2, 2, 1), cofac(0, 1, 1, 2), |
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531 | cofac(1, 2, 2, 0), cofac(0, 0, 2, 2), cofac(0, 2, 1, 0), |
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532 | cofac(1, 0, 2, 1), cofac(0, 1, 2, 0), cofac(0, 0, 1, 1)); |
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533 | } |
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534 | |
---|
535 | SIMD_FORCE_INLINE btMatrix3x3 |
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536 | btMatrix3x3::inverse() const |
---|
537 | { |
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538 | btVector3 co(cofac(1, 1, 2, 2), cofac(1, 2, 2, 0), cofac(1, 0, 2, 1)); |
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539 | btScalar det = (*this)[0].dot(co); |
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540 | btFullAssert(det != btScalar(0.0)); |
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541 | btScalar s = btScalar(1.0) / det; |
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542 | return btMatrix3x3(co.x() * s, cofac(0, 2, 2, 1) * s, cofac(0, 1, 1, 2) * s, |
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543 | co.y() * s, cofac(0, 0, 2, 2) * s, cofac(0, 2, 1, 0) * s, |
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544 | co.z() * s, cofac(0, 1, 2, 0) * s, cofac(0, 0, 1, 1) * s); |
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545 | } |
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546 | |
---|
547 | SIMD_FORCE_INLINE btMatrix3x3 |
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548 | btMatrix3x3::transposeTimes(const btMatrix3x3& m) const |
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549 | { |
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550 | return btMatrix3x3( |
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551 | m_el[0].x() * m[0].x() + m_el[1].x() * m[1].x() + m_el[2].x() * m[2].x(), |
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552 | m_el[0].x() * m[0].y() + m_el[1].x() * m[1].y() + m_el[2].x() * m[2].y(), |
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553 | m_el[0].x() * m[0].z() + m_el[1].x() * m[1].z() + m_el[2].x() * m[2].z(), |
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554 | m_el[0].y() * m[0].x() + m_el[1].y() * m[1].x() + m_el[2].y() * m[2].x(), |
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555 | m_el[0].y() * m[0].y() + m_el[1].y() * m[1].y() + m_el[2].y() * m[2].y(), |
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556 | m_el[0].y() * m[0].z() + m_el[1].y() * m[1].z() + m_el[2].y() * m[2].z(), |
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557 | m_el[0].z() * m[0].x() + m_el[1].z() * m[1].x() + m_el[2].z() * m[2].x(), |
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558 | m_el[0].z() * m[0].y() + m_el[1].z() * m[1].y() + m_el[2].z() * m[2].y(), |
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559 | m_el[0].z() * m[0].z() + m_el[1].z() * m[1].z() + m_el[2].z() * m[2].z()); |
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560 | } |
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561 | |
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562 | SIMD_FORCE_INLINE btMatrix3x3 |
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563 | btMatrix3x3::timesTranspose(const btMatrix3x3& m) const |
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564 | { |
---|
565 | return btMatrix3x3( |
---|
566 | m_el[0].dot(m[0]), m_el[0].dot(m[1]), m_el[0].dot(m[2]), |
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567 | m_el[1].dot(m[0]), m_el[1].dot(m[1]), m_el[1].dot(m[2]), |
---|
568 | m_el[2].dot(m[0]), m_el[2].dot(m[1]), m_el[2].dot(m[2])); |
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569 | |
---|
570 | } |
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571 | |
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572 | SIMD_FORCE_INLINE btVector3 |
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573 | operator*(const btMatrix3x3& m, const btVector3& v) |
---|
574 | { |
---|
575 | return btVector3(m[0].dot(v), m[1].dot(v), m[2].dot(v)); |
---|
576 | } |
---|
577 | |
---|
578 | |
---|
579 | SIMD_FORCE_INLINE btVector3 |
---|
580 | operator*(const btVector3& v, const btMatrix3x3& m) |
---|
581 | { |
---|
582 | return btVector3(m.tdotx(v), m.tdoty(v), m.tdotz(v)); |
---|
583 | } |
---|
584 | |
---|
585 | SIMD_FORCE_INLINE btMatrix3x3 |
---|
586 | operator*(const btMatrix3x3& m1, const btMatrix3x3& m2) |
---|
587 | { |
---|
588 | return btMatrix3x3( |
---|
589 | m2.tdotx( m1[0]), m2.tdoty( m1[0]), m2.tdotz( m1[0]), |
---|
590 | m2.tdotx( m1[1]), m2.tdoty( m1[1]), m2.tdotz( m1[1]), |
---|
591 | m2.tdotx( m1[2]), m2.tdoty( m1[2]), m2.tdotz( m1[2])); |
---|
592 | } |
---|
593 | |
---|
594 | /* |
---|
595 | SIMD_FORCE_INLINE btMatrix3x3 btMultTransposeLeft(const btMatrix3x3& m1, const btMatrix3x3& m2) { |
---|
596 | return btMatrix3x3( |
---|
597 | m1[0][0] * m2[0][0] + m1[1][0] * m2[1][0] + m1[2][0] * m2[2][0], |
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598 | m1[0][0] * m2[0][1] + m1[1][0] * m2[1][1] + m1[2][0] * m2[2][1], |
---|
599 | m1[0][0] * m2[0][2] + m1[1][0] * m2[1][2] + m1[2][0] * m2[2][2], |
---|
600 | m1[0][1] * m2[0][0] + m1[1][1] * m2[1][0] + m1[2][1] * m2[2][0], |
---|
601 | m1[0][1] * m2[0][1] + m1[1][1] * m2[1][1] + m1[2][1] * m2[2][1], |
---|
602 | m1[0][1] * m2[0][2] + m1[1][1] * m2[1][2] + m1[2][1] * m2[2][2], |
---|
603 | m1[0][2] * m2[0][0] + m1[1][2] * m2[1][0] + m1[2][2] * m2[2][0], |
---|
604 | m1[0][2] * m2[0][1] + m1[1][2] * m2[1][1] + m1[2][2] * m2[2][1], |
---|
605 | m1[0][2] * m2[0][2] + m1[1][2] * m2[1][2] + m1[2][2] * m2[2][2]); |
---|
606 | } |
---|
607 | */ |
---|
608 | |
---|
609 | /**@brief Equality operator between two matrices |
---|
610 | * It will test all elements are equal. */ |
---|
611 | SIMD_FORCE_INLINE bool operator==(const btMatrix3x3& m1, const btMatrix3x3& m2) |
---|
612 | { |
---|
613 | return ( m1[0][0] == m2[0][0] && m1[1][0] == m2[1][0] && m1[2][0] == m2[2][0] && |
---|
614 | m1[0][1] == m2[0][1] && m1[1][1] == m2[1][1] && m1[2][1] == m2[2][1] && |
---|
615 | m1[0][2] == m2[0][2] && m1[1][2] == m2[1][2] && m1[2][2] == m2[2][2] ); |
---|
616 | } |
---|
617 | |
---|
618 | #endif |
---|