Mercurial > octave
annotate libinterp/corefcn/stream-euler.cc @ 27919:1891570abac8
update Octave Project Developers copyright for the new year
In files that have the "Octave Project Developers" copyright notice,
update for 2020.
author | John W. Eaton <jwe@octave.org> |
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date | Mon, 06 Jan 2020 22:29:51 -0500 |
parents | b442ec6dda5c |
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1 /* |
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2 |
27919
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update Octave Project Developers copyright for the new year
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3 Copyright (C) 2019-2020 The Octave Project Developers |
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4 |
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5 See the file COPYRIGHT.md in the top-level directory of this distribution |
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6 or <https://octave.org/COPYRIGHT.html/>. |
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7 |
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8 |
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9 This file is part of Octave. |
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10 |
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11 Octave is free software: you can redistribute it and/or modify it |
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12 under the terms of the GNU General Public License as published by |
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13 the Free Software Foundation, either version 3 of the License, or |
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14 (at your option) any later version. |
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15 |
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16 Octave is distributed in the hope that it will be useful, but |
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17 WITHOUT ANY WARRANTY; without even the implied warranty of |
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18 MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the |
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19 GNU General Public License for more details. |
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20 |
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21 You should have received a copy of the GNU General Public License |
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22 along with Octave; see the file COPYING. If not, see |
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23 <https://www.gnu.org/licenses/>. |
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24 |
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25 */ |
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26 |
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27 /* |
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28 |
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29 References: |
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30 |
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31 @article{ |
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32 title = {Particle Tracing Algorithms for 3D Curvilinear Grids}, |
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33 year = {2000}, |
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34 author = {Nielson, Gregory and Uller, H. and Sadarjoen, I. and Walsum, Theo and Hin, Andrea and Post, Frits} |
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35 } |
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36 |
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37 @article{ |
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38 title = {Sources of error in the graphical analysis of CFD results}, |
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39 publisher = {Journal of Scientific Computing}, |
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40 year = {1988}, |
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41 volume = {3}, |
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42 number = {2}, |
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43 pages = {149--164}, |
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44 author = {Buning, Pieter G.}, |
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45 } |
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46 |
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47 */ |
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48 |
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49 #if defined (HAVE_CONFIG_H) |
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50 # include "config.h" |
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51 #endif |
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52 |
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53 #include "defun.h" |
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54 #include "error.h" |
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55 #include "ovl.h" |
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56 |
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57 // Coordinates of a point in C-Space (unit square mesh) |
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58 |
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59 typedef struct |
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60 { |
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61 double x, y; |
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62 } Vector2; |
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63 |
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64 // The integer value and the fractional value from a point in C-Space. |
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65 // Equivalent to the cell index the point is located in and the local |
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66 // coordinates of the point in the cell. |
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67 |
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68 typedef struct |
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69 { |
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70 double fcx, fcy; |
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71 signed long idx, idy; |
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72 } Cell2; |
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73 |
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74 typedef struct |
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75 { |
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76 double x, y, z; |
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77 } Vector3; |
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78 |
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79 typedef struct |
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80 { |
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81 double fcx, fcy, fcz; |
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82 signed long idx, idy, idz; |
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83 } Cell3; |
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84 |
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85 static inline void |
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86 number_to_fractional (signed long *id, double *fc, const double u) |
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87 { |
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88 *id = floor (u); |
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89 *fc = u - *id; |
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90 } |
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91 |
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92 static inline octave_idx_type |
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93 handle_border_index (const octave_idx_type id, const octave_idx_type N) |
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94 { |
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95 return (id < N - 1 ? id : N - 2); |
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96 } |
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97 |
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98 static inline void |
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99 handle_border (octave_idx_type *id2, double *fc2, const octave_idx_type id1, |
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100 const double fc1, const octave_idx_type N) |
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101 { |
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102 if (id1 < N - 1) |
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103 { |
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104 *id2 = id1; |
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105 *fc2 = fc1; |
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106 } |
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107 else |
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108 { |
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109 *id2 = N - 2; |
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110 *fc2 = 1.0; |
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111 } |
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112 } |
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113 |
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114 static inline double |
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115 bilinear (const double u11, const double u21, const double u12, |
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116 const double u22, const double x, const double y) |
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117 { |
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118 return (u11 * (1-x) * (1-y) + |
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119 u21 * x * (1-y) + |
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120 u12 * (1-x) * y + |
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121 u22 * x * y); |
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122 } |
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123 |
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124 static inline Cell2 |
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125 vector_to_cell2d (const Vector2 X) |
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126 { |
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127 Cell2 Z; |
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128 |
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129 number_to_fractional (&Z.idx, &Z.fcx, X.x); |
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130 number_to_fractional (&Z.idy, &Z.fcy, X.y); |
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131 |
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132 return (Z); |
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133 } |
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134 |
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135 static inline bool |
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136 is_in_definition_set2d (const Cell2 X, const octave_idx_type cols, |
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137 const octave_idx_type rows) |
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138 { |
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139 return ( (((X.idx >= 0) && (X.idx < cols-1)) || |
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140 ((X.idx == cols-1) && (X.fcx == 0.0))) && |
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141 (((X.idy >= 0) && (X.idy < rows-1)) || |
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142 ((X.idy == rows-1) && (X.fcy == 0.0))) ); |
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143 } |
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144 |
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145 static inline Vector2 |
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146 add2d (const Cell2 X, const Vector2 Y) |
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147 { |
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148 Vector2 Z = {X.idx + X.fcx + Y.x, |
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149 X.idy + X.fcy + Y.y}; |
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150 |
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151 return (Z); |
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152 } |
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153 |
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154 static inline Vector2 |
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155 vector_interpolation2d (const Cell2 X, const Matrix& u, const Matrix& v, |
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156 const octave_idx_type cols, const octave_idx_type rows) |
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157 { |
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158 Vector2 V; |
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159 double fcx, fcy; |
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160 octave_idx_type idx, idy; |
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161 |
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162 handle_border (&idx, &fcx, X.idx, X.fcx, cols); |
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163 handle_border (&idy, &fcy, X.idy, X.fcy, rows); |
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164 |
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165 V.x = bilinear (u(idy, idx), u(idy, idx+1), u(idy+1, idx), |
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166 u(idy+1, idx+1), fcx, fcy); |
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167 V.y = bilinear (v(idy, idx), v(idy, idx+1), v(idy+1, idx), |
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168 v(idy+1, idx+1), fcx, fcy); |
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169 |
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170 return (V); |
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171 } |
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172 |
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173 // Apply the Jacobian matrix on the vector V. |
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174 // The step vector length is set to h. |
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175 |
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176 static inline Vector2 |
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177 calculate_step_vector2d (const Cell2 X, const Vector2 V, |
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178 const RowVector& tx, const RowVector& ty, |
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179 const octave_idx_type cols, const octave_idx_type rows, |
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180 const double h) |
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181 { |
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182 Vector2 S; |
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183 |
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184 const octave_idx_type idx = handle_border_index (X.idx, cols); |
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185 const octave_idx_type idy = handle_border_index (X.idy, rows); |
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186 |
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187 const double x = V.x * tx(idx); |
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188 const double y = V.y * ty(idy); |
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189 const double n = 1.0 / sqrt (x*x + y*y); |
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190 S.x = h * n * x; |
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191 S.y = h * n * y; |
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192 |
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193 return (S); |
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194 } |
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195 |
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196 static inline bool |
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197 is_singular2d (const Vector2 V) |
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198 { |
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199 return ((octave::math::isnan (V.x) || octave::math::isnan (V.y)) || |
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200 ((V.x == 0) && (V.y == 0))); |
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201 } |
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202 |
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203 static void |
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204 euler2d (const octave_idx_type cols, const octave_idx_type rows, |
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205 const Matrix& u, const Matrix& v, |
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206 const RowVector& tx, const RowVector& ty, |
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207 const double zeta, const double xi, |
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208 const double h, const octave_idx_type maxnverts, |
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209 Matrix& buffer, octave_idx_type *nverts) |
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210 { |
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211 Vector2 V0, V1, S0, X1, Xnxt, S1; |
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212 const Vector2 X0 = {zeta, xi}; |
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213 Cell2 X0f, X1f; |
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214 |
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215 octave_idx_type i = 0; |
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216 |
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217 buffer(i, 0) = X0.x; |
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218 buffer(i, 1) = X0.y; |
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219 |
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220 X0f = vector_to_cell2d (X0); |
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221 while (true) |
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222 { |
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223 if (! is_in_definition_set2d (X0f, cols, rows)) |
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224 break; |
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225 |
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226 V0 = vector_interpolation2d (X0f, u, v, cols, rows); |
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227 if (is_singular2d (V0)) |
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228 break; |
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229 |
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230 S0 = calculate_step_vector2d (X0f, V0, tx, ty, cols, rows, h); |
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231 |
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232 X1 = add2d (X0f, S0); |
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233 X1f = vector_to_cell2d (X1); |
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234 if (! is_in_definition_set2d (X1f, cols, rows)) |
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235 break; |
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236 |
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237 V1 = vector_interpolation2d (X1f, u, v, cols, rows); |
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238 if (is_singular2d (V1)) |
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239 break; |
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240 |
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241 S1 = calculate_step_vector2d (X1f, V1, tx, ty, cols, rows, h); |
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242 |
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243 // Runge Kutta - Heun's Scheme |
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244 const Vector2 S = {0.5 * (S0.x + S1.x), |
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245 0.5 * (S0.y + S1.y)}; |
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246 Xnxt = add2d (X0f, S); |
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247 |
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248 X0f = vector_to_cell2d (Xnxt); |
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249 if (! is_in_definition_set2d (X0f, cols, rows)) |
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250 break; |
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251 |
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252 i++; |
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253 buffer(i, 0) = Xnxt.x; |
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254 buffer(i, 1) = Xnxt.y; |
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255 |
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256 if (i + 1 >= maxnverts) |
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257 break; |
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258 } |
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259 |
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260 *nverts = i + 1; |
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261 } |
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262 |
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263 static inline double |
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264 trilinear (const double u111, const double u211, const double u121, |
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265 const double u221, const double u112, const double u212, |
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266 const double u122, const double u222, |
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267 const double x, const double y, const double z) |
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268 { |
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269 return (u111 * (1-x) * (1-y) * (1-z) + |
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270 u211 * x * (1-y) * (1-z) + |
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271 u121 * (1-x) * y * (1-z) + |
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272 u221 * x * y * (1-z) + |
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273 u112 * (1-x) * (1-y) * z + |
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274 u212 * x * (1-y) * z + |
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275 u122 * (1-x) * y * z + |
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276 u222 * x * y * z); |
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277 } |
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278 |
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279 static inline Cell3 |
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280 vector_to_cell3d (const Vector3 X) |
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281 { |
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282 Cell3 Z; |
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283 |
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284 number_to_fractional (&Z.idx, &Z.fcx, X.x); |
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285 number_to_fractional (&Z.idy, &Z.fcy, X.y); |
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286 number_to_fractional (&Z.idz, &Z.fcz, X.z); |
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287 |
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288 return (Z); |
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289 } |
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290 |
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291 static inline bool |
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292 is_in_definition_set3d (const Cell3 X, const octave_idx_type nx, |
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293 const octave_idx_type ny, const octave_idx_type nz) |
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294 { |
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295 return ( (((X.idx >= 0) && (X.idx < nx-1)) || |
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296 ((X.idx == nx-1) && (X.fcx == 0.0))) && |
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297 (((X.idy >= 0) && (X.idy < ny-1)) || |
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298 ((X.idy == ny-1) && (X.fcy == 0.0))) && |
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299 (((X.idz >= 0) && (X.idz < nz-1)) || |
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300 ((X.idz == nz-1) && (X.fcz == 0.0))) ); |
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301 } |
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302 |
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303 static inline Vector3 |
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304 add3d (const Cell3 X, const Vector3 Y) |
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305 { |
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306 Vector3 Z = {X.idx + X.fcx + Y.x, |
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307 X.idy + X.fcy + Y.y, |
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308 X.idz + X.fcz + Y.z}; |
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309 |
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310 return (Z); |
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311 } |
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312 |
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313 static inline Vector3 |
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314 vector_interpolation3d (const Cell3 X, const NDArray& u, const NDArray& v, |
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315 const NDArray& w, const octave_idx_type nx, |
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316 const octave_idx_type ny, const octave_idx_type nz) |
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317 { |
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318 Vector3 V; |
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319 double fcx, fcy, fcz; |
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320 octave_idx_type idx, idy, idz; |
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321 |
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322 handle_border (&idx, &fcx, X.idx, X.fcx, nx); |
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323 handle_border (&idy, &fcy, X.idy, X.fcy, ny); |
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324 handle_border (&idz, &fcz, X.idz, X.fcz, nz); |
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325 |
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326 V.x = trilinear (u(idy, idx, idz), u(idy, idx+1, idz), |
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327 u(idy+1, idx, idz), u(idy+1, idx+1, idz), |
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328 u(idy, idx, idz+1), u(idy, idx+1, idz+1), |
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329 u(idy+1, idx, idz+1), u(idy+1, idx+1, idz+1), |
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330 fcx, fcy, fcz); |
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331 V.y = trilinear (v(idy, idx, idz), v(idy, idx+1, idz), |
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332 v(idy+1, idx, idz), v(idy+1, idx+1, idz), |
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333 v(idy, idx, idz+1), v(idy, idx+1, idz+1), |
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334 v(idy+1, idx, idz+1), v(idy+1, idx+1, idz+1), |
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335 fcx, fcy, fcz); |
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336 V.z = trilinear (w(idy, idx, idz), w(idy, idx+1, idz), |
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337 w(idy+1, idx, idz), w(idy+1, idx+1, idz), |
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338 w(idy, idx, idz+1), w(idy, idx+1, idz+1), |
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339 w(idy+1, idx, idz+1), w(idy+1, idx+1, idz+1), |
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340 fcx, fcy, fcz); |
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341 |
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342 return (V); |
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343 } |
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344 |
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345 static inline Vector3 |
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346 calculate_step_vector3d (const Cell3 X, const Vector3 V, |
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347 const RowVector& tx, const RowVector& ty, const RowVector& tz, |
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348 const octave_idx_type nx, const octave_idx_type ny, |
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349 const octave_idx_type nz, const double h) |
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350 { |
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351 Vector3 S; |
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352 |
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353 const octave_idx_type idx = handle_border_index (X.idx, nx); |
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354 const octave_idx_type idy = handle_border_index (X.idy, ny); |
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355 const octave_idx_type idz = handle_border_index (X.idz, nz); |
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356 |
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357 const double x = V.x * tx(idx); |
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358 const double y = V.y * ty(idy); |
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359 const double z = V.z * tz(idz); |
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360 const double n = 1.0 / sqrt (x*x + y*y + z*z); |
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361 S.x = h * n * x; |
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362 S.y = h * n * y; |
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363 S.z = h * n * z; |
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364 |
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365 return (S); |
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366 } |
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367 |
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368 static inline bool |
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369 is_singular3d (const Vector3 V) |
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370 { |
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371 return ((octave::math::isnan (V.x) || octave::math::isnan (V.y) || |
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372 octave::math::isnan (V.z)) || |
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373 ((V.x == 0) && (V.y == 0) && (V.z == 0))); |
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374 } |
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375 |
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|
376 static void |
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377 euler3d (const octave_idx_type nx, const octave_idx_type ny, const octave_idx_type nz, |
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|
378 const NDArray& u, const NDArray& v, const NDArray& w, |
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379 const RowVector& tx, const RowVector& ty, const RowVector& tz, |
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380 const double zeta, const double xi, const double rho, |
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381 const double h, const octave_idx_type maxnverts, |
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382 Matrix& buffer, octave_idx_type *nverts) |
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|
383 { |
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|
384 Vector3 V0, V1, S0, X1, Xnxt, S1; |
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385 const Vector3 X0 = {zeta, xi, rho}; |
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386 Cell3 X0f, X1f; |
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|
387 |
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388 octave_idx_type i = 0; |
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389 buffer(i, 0) = X0.x; |
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390 buffer(i, 1) = X0.y; |
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391 buffer(i, 2) = X0.z; |
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|
392 |
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393 X0f = vector_to_cell3d (X0); |
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parents:
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|
394 while (true) |
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parents:
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|
395 { |
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|
396 if (! is_in_definition_set3d (X0f, nx, ny, nz)) |
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|
397 break; |
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|
398 |
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|
399 V0 = vector_interpolation3d (X0f, u, v, w, nx, ny, nz); |
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400 if (is_singular3d (V0)) |
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|
401 break; |
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|
402 |
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|
403 S0 = calculate_step_vector3d (X0f, V0, tx, ty, tz, nx, ny, nz, h); |
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|
404 |
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405 X1 = add3d (X0f, S0); |
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|
406 |
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|
407 X1f = vector_to_cell3d (X1); |
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|
408 if (! is_in_definition_set3d (X1f, nx, ny, nz)) |
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|
409 break; |
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parents:
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|
410 |
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parents:
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|
411 V1 = vector_interpolation3d (X1f, u, v, w, nx, ny, nz); |
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412 if (is_singular3d (V1)) |
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|
413 break; |
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|
414 |
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|
415 S1 = calculate_step_vector3d (X1f, V1, tx, ty, tz, nx, ny, nz, h); |
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416 |
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417 // Runge Kutta - Heun's Scheme |
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418 const Vector3 S = {0.5 * (S0.x + S1.x), |
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419 0.5 * (S0.y + S1.y), |
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420 0.5 * (S0.z + S1.z)}; |
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421 Xnxt = add3d (X0f, S); |
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|
422 |
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423 X0f = vector_to_cell3d (Xnxt); |
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424 if (! is_in_definition_set3d (X0f, nx, ny, nz)) |
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|
425 break; |
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|
426 |
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|
427 i++; |
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428 buffer(i, 0) = Xnxt.x; |
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429 buffer(i, 1) = Xnxt.y; |
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430 buffer(i, 2) = Xnxt.z; |
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|
431 |
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432 if (i + 1 >= maxnverts) |
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|
433 break; |
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|
434 |
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|
435 } |
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|
436 |
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|
437 *nverts = i + 1; |
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|
438 } |
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|
439 |
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|
440 static octave_value |
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441 streameuler2d_internal (const octave_value_list& args) |
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442 { |
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443 |
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444 const int nargin = args.length (); |
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445 if (nargin != 8) |
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|
446 print_usage (); |
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447 |
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448 const Matrix U = args(0).matrix_value (); |
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449 const Matrix V = args(1).matrix_value (); |
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450 const RowVector TX = args(2).row_vector_value (); |
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451 const RowVector TY = args(3).row_vector_value (); |
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452 const double zeta = args(4).double_value (); |
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453 const double xi = args(5).double_value (); |
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454 const double h = args(6).double_value (); |
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455 const octave_idx_type maxnverts = args(7).idx_type_value (); |
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|
456 |
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457 const octave_idx_type rows = U.rows (); |
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458 const octave_idx_type cols = U.columns (); |
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|
459 |
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|
460 octave_idx_type nverts; |
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461 Matrix buffer (maxnverts, 2); |
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parents:
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|
462 |
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parents:
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|
463 euler2d (cols, rows, U, V, TX, TY, zeta, xi, h, maxnverts, |
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Markus Meisinger <chloros2@gmx.de>
parents:
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|
464 buffer, &nverts); |
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|
465 |
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466 Matrix xy = buffer.extract (0, 0, nverts-1, 1); |
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|
467 |
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468 return octave_value (xy); |
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parents:
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|
469 } |
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|
470 |
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|
471 static octave_value |
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472 streameuler3d_internal (const octave_value_list& args, const char *fcn) |
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parents:
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|
473 { |
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|
474 |
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475 const int nargin = args.length (); |
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parents:
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|
476 if (nargin != 11) |
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parents:
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|
477 print_usage (); |
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parents:
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|
478 |
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|
479 const NDArray U = args(0).array_value (); |
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480 const NDArray V = args(1).array_value (); |
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481 const NDArray W = args(2).array_value (); |
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482 const RowVector TX = args(3).row_vector_value (); |
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483 const RowVector TY = args(4).row_vector_value (); |
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|
484 const RowVector TZ = args(5).row_vector_value (); |
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parents:
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|
485 const double zeta = args(6).double_value (); |
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|
486 const double xi = args(7).double_value (); |
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|
487 const double rho = args(8).double_value (); |
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parents:
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|
488 const double h = args(9).double_value (); |
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489 const octave_idx_type maxnverts = args(10).idx_type_value (); |
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parents:
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|
490 |
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|
491 const dim_vector dims = args(0).dims (); |
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492 const int ndims = dims.ndims (); |
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parents:
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|
493 if (ndims != 3) |
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parents:
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|
494 error ("%s: dimension must be 3", fcn); |
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parents:
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|
495 |
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|
496 octave_idx_type nverts; |
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parents:
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|
497 Matrix buffer (maxnverts, 3); |
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parents:
diff
changeset
|
498 |
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parents:
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|
499 euler3d (dims(1), dims(0), dims(2), U, V, W, TX, TY, TZ, zeta, xi, rho, |
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500 h, maxnverts, buffer, &nverts); |
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501 |
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502 Matrix xyz = buffer.extract (0, 0, nverts-1, 2); |
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503 |
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504 return octave_value (xyz); |
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505 } |
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506 |
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507 DEFUN (__streameuler2d__, args, , |
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508 doc: /* -*- texinfo -*- |
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509 @deftypefn {} {} __streameuler2d__ (@var{U}, @var{V}, @var{TX}, @var{TY}, @var{ZETA}, @var{XI}, @var{H}, @var{MAXNVERTS}) |
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510 Calculates the streamline in a vector field @code{[@var{U}, @var{V}]} starting |
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511 from a seed point at position @code{[@var{ZETA}, @var{XI}]}. The integrator |
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512 used is Heun's Scheme. The step size can be controlled by @var{H}. The |
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513 Jacobian matrix can be defined for each grid cell by |
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514 @code{[@var{TX}, @var{TY}]}. |
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515 |
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516 @seealso{streamline, stream2, stream3, __streameuler3d__} |
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517 @end deftypefn */) |
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518 { |
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519 return streameuler2d_internal (args); |
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520 } |
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521 |
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522 DEFUN (__streameuler3d__, args, , |
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523 doc: /* -*- texinfo -*- |
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524 @deftypefn {} {} __streameuler3d__ (@var{U}, @var{V}, @var{W}, @var{TX}, @var{TY}, @var{TZ}, @var{ZETA}, @var{XI}, @var{RHO}, @var{H}, @var{MAXNVERTS}) |
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525 Calculates the streamline in a vector field @code{[@var{U}, @var{V}, @var{W}]} |
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526 starting from a seed point at position |
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527 @code{[@var{ZETA}, @var{XI}, @var{RHO}]}. The integrator used is Heun's |
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528 Scheme. The step size can be controlled by @var{H}. The Jacobian matrix can |
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529 be defined for each grid cell by @code{[@var{TX}, @var{TY}, @var{TZ}]}. |
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530 |
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531 @seealso{streamline, stream2, stream3, __streameuler2d__} |
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532 @end deftypefn */) |
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533 { |
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534 return streameuler3d_internal (args, "__streameuler3d__"); |
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535 } |
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536 |