Preface |
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xi | |
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1 | (7) |
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1 | (1) |
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1 | (4) |
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5 | (2) |
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1.4 Chapter summary and further reading |
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7 | (1) |
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1.4.1 Chapter keywords and key phrases |
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7 | (1) |
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7 | (1) |
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2 Regular fractals and self-similarity |
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8 | (19) |
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8 | (1) |
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8 | (2) |
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2.3 Non-fractal dimensions: the Euclidean and topological dimensions |
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10 | (4) |
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2.4 The similarity dimension |
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14 | (2) |
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16 | (3) |
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2.6 The quadratic Koch curve |
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19 | (1) |
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19 | (2) |
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2.8 Curves in the plane with similarity dimension exceeding two |
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21 | (2) |
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2.9 The Sierpinski gasket and carpet |
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23 | (1) |
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23 | (1) |
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2.11 Chapter summary and further reading |
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24 | (1) |
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2.11.1 Chapter keywords and key phrases |
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24 | (1) |
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2.11.2 Summary and further reading |
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24 | (1) |
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2.12 Revision questions and further tasks |
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24 | (3) |
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27 | (27) |
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27 | (1) |
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3.2 Randomizing the Cantor set and Koch curve |
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27 | (2) |
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29 | (1) |
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3.4 The box counting dimension and the Hausdorff dimension |
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30 | (6) |
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3.5 The structured walk technique and the divider dimension |
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36 | (7) |
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3.6 The perimeter-area relationship |
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43 | (1) |
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3.7 Chapter summary and further reading |
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43 | (4) |
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3.7.1 Chapter keywords and key phrases |
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43 | (1) |
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44 | (1) |
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3.7.3 Miscellaneous subject areas |
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44 | (2) |
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3.7.4 Perimeter-area relationship |
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46 | (1) |
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3.7.5 Erroneous dimension estimates |
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46 | (1) |
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3.8 Revision questions and further tasks |
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47 | (7) |
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4 Regular and fractional Brownian motion |
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54 | (33) |
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54 | (1) |
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4.2 Regular Brownian motion |
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54 | (9) |
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4.3 Fractional Brownian motion: time traces |
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63 | (8) |
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4.4 Fractional Brownian surfaces |
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71 | (3) |
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4.5 Fractional Brownian motion: spatial trajectories |
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74 | (5) |
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4.6 Diffusion limited aggregation |
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79 | (1) |
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4.7 The colour and power of noise |
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80 | (1) |
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4.8 Chapter summary and further reading |
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81 | (3) |
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4.8.1 Chapter keywords and key phrases |
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81 | (1) |
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81 | (1) |
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82 | (1) |
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83 | (1) |
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83 | (1) |
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84 | (1) |
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4.9 Revision questions and further tasks |
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84 | (3) |
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5 Iterative feedback processes and chaos |
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87 | (30) |
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87 | (1) |
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5.2 Population growth and the Verhulst model |
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87 | (1) |
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88 | (1) |
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5.4 The effect of variation in the control parameter |
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89 | (4) |
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89 | (2) |
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91 | (1) |
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91 | (1) |
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92 | (1) |
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92 | (1) |
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5.5 The general form of the iterated solutions of the logistic map |
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93 | (1) |
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5.6 Graphical iteration of the logistic map |
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93 | (5) |
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5.7 Bifurcation, stability and the Feigenbaum number |
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98 | (4) |
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5.8 A two-dimensional map: the Henon model |
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102 | (4) |
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5.9 Iterations in the complex plane: Julia sets and the Mandelbrot set |
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106 | (5) |
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5.10 Chapter summary and further reading |
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111 | (2) |
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5.10.1 Chapter keywords and key phrases |
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111 | (1) |
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111 | (1) |
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111 | (1) |
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5.10.4 The Mandelbrot set |
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112 | (1) |
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5.10.5 Iterated function systems |
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113 | (1) |
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5.11 Revision questions and further tasks |
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113 | (4) |
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117 | (38) |
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117 | (1) |
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6.2 A simple nonlinear mechanical oscillator: the Duffing oscillator |
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117 | (8) |
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6.3 Chaos in the weather: the Lorenz model |
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125 | (7) |
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132 | (3) |
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6.5 Phase space, dimension and attractor form |
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135 | (3) |
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6.6 Spatially extended systems: coupled oscillators |
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138 | (3) |
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6.7 Spatially extended systems: fluids |
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141 | (4) |
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6.7.1 Taylor-Couette flow |
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143 | (2) |
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6.8 Mathematical routes to chaos and turbulence |
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145 | (1) |
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6.9 Chapter summary and further reading |
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146 | (7) |
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6.9.1 Chapter keywords and key phrases |
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146 | (1) |
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147 | (1) |
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6.9.3 The Duffing oscillator |
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147 | (1) |
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148 | (1) |
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6.9.5 The Rossler systems |
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148 | (1) |
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6.9.6 Fluids and other spatially extended systems |
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149 | (1) |
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6.9.7 Miscellaneous subject areas |
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150 | (3) |
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153 | (1) |
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6.10 Revision questions and further tasks |
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153 | (2) |
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155 | (36) |
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155 | (1) |
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7.2 Preliminary characterization: visual inspection |
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155 | (1) |
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7.3 Preliminary characterization: frequency spectra |
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156 | (3) |
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7.4 Characterizing chaos: Lyapunov exponents |
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159 | (4) |
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7.5 Characterizing chaos: dimension estimates |
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163 | (7) |
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7.5.1 Box counting dimension |
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163 | (1) |
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7.5.2 The information dimension |
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163 | (1) |
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7.5.3 Correlation dimension |
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164 | (3) |
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7.5.4 The pointwise and averaged pointwise dimension |
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167 | (1) |
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7.5.5 The Lyapunov dimension |
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168 | (2) |
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7.6 Attractor reconstruction |
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170 | (6) |
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7.6.1 Method 1 visual inspection of reconstructed attractors |
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172 | (1) |
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7.6.2 Method 2 dominant period relationship |
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172 | (1) |
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7.6.3 Method 3 the autocorrelation function |
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172 | (1) |
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7.6.4 Method 4 the minimum mutual information criterion |
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172 | (4) |
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7.7 The embedding dimension for attractor reconstruction |
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176 | (1) |
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177 | (2) |
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7.9 Regions of behaviour on the attractor and characterization limitations |
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179 | (5) |
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7.10 Chapter summary and further reading |
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184 | (4) |
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7.10.1 Chapter keywords and key phrases |
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184 | (1) |
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184 | (1) |
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184 | (1) |
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184 | (1) |
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7.10.5 Lyapunov exponents |
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185 | (1) |
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186 | (1) |
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7.10.7 Delay reconstruction |
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186 | (1) |
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186 | (1) |
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187 | (1) |
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187 | (1) |
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7.11 Revision questions and further tasks |
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188 | (3) |
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A Computer program for Lorenz equations |
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191 | (4) |
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A.1 The Rossler modification |
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194 | (1) |
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195 | (9) |
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195 | (1) |
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195 | (3) |
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198 | (1) |
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B.4 The Belousov-Zhabotinsky chemical reaction |
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198 | (1) |
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198 | (3) |
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B.6 Rayleigh-Benard convection |
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201 | (1) |
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202 | (2) |
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204 | (24) |
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C.1 Solutions to chapter 2 |
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204 | (1) |
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C.2 Solutions to chapter 3 |
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205 | (8) |
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C.3 Solutions to chapter 4 |
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213 | (4) |
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C.4 Solutions to chapter 5 |
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217 | (7) |
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C.5 Solutions to chapter 6 |
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224 | (1) |
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C.6 Solutions to chapter 7 |
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225 | (3) |
References |
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228 | (25) |
Index |
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253 | |