Nonlinear and Chaotic Maps | p. 1 |
One-Dimensional Maps | p. 1 |
Exact and Numerical Trajectories | p. 3 |
Fixed Points and Stability | p. 14 |
Invariant Density | p. 16 |
Liapunov Exponent | p. 20 |
Autocorrelation Function | p. 23 |
Discrete Fourier Transform | p. 25 |
Fast Fourier Transform | p. 28 |
Logistic Map and Liapunov Exponent for r ∈ [3, 4] | p. 33 |
Logistic Map and Bifurcation Diagram | p. 34 |
Random Number Map and Invariant Density | p. 36 |
Random Number Map and Random Integration | p. 38 |
Circle Map and Rotation Number | p. 40 |
Newton Method | p. 41 |
Feigenbaum's Constant | p. 43 |
Symbolic Dynamics | p. 45 |
Chaotic Repeller | p. 47 |
Chaos and Encoding | p. 48 |
Two-Dimensional Maps | p. 54 |
Introduction | p. 54 |
Phase Portrait | p. 57 |
Fixed Points and Stability | p. 64 |
Liapunov Exponents | p. 65 |
Correlation Integral | p. 67 |
Capacity | p. 68 |
Hyperchaos | p. 70 |
Domain of Attraction | p. 74 |
Newton Method in the Complex Domain | p. 75 |
Newton Method in Higher Dimensions | p. 77 |
Ruelle-Takens-Newhouse Scenario | p. 78 |
Periodic Orbits and Topological Degree | p. 80 |
JPEG file | p. 82 |
Time Series Analysis | p. 85 |
Introduction | p. 85 |
Correlation Coefficient | p. 86 |
Liapunov Exponent from Time Series | p. 87 |
Jacobian Matrix Estimation Algorithm | p. 88 |
Direct Method | p. 89 |
Hurst Exponent | p. 96 |
Introduction | p. 96 |
Implementation for the Hurst Exponent | p. 98 |
Random Walk | p. 102 |
Higuchi's Algorithm | p. 106 |
Complexity | p. 107 |
Autonomous Systems in the Plane | p. 111 |
Classification of Fixed Points | p. 111 |
Homoclinic Orbit | p. 113 |
Pendulum | p. 114 |
Limit Cycle Systems | p. 116 |
Lotka-Volterra Systems | p. 119 |
Nonlinear Hamilton Systems | p. 123 |
Hamilton Equations of Motion | p. 123 |
Hamilton System and Variational Equation | p. 126 |
Integrable Hamilton Systems | p. 127 |
Hamilton Systems and First Integrals | p. 127 |
Lax Pair and Hamilton Systems | p. 128 |
Floquet Theory | p. 130 |
Chaotic Hamilton Systems | p. 133 |
Henon-Heiles Hamilton Function and Trajectories | p. 133 |
Henon Heiles and Surface of Section Method | p. 135 |
Quartic Potential and Surface of Section Technique | p. 136 |
Nonlinear Dissipative Systems | p. 139 |
Fixed Points and Stability | p. 139 |
Trajectories | p. 144 |
Phase Portrait | p. 148 |
Liapunov Exponents | p. 150 |
Generalized Lotka-Volterra Model | p. 153 |
Hyperchaotic Systems | p. 155 |
Hopf Bifurcation | p. 158 |
Time-Dependent First Integrals | p. 161 |
Nonlinear Driven Systems | p. 163 |
Introduction | p. 163 |
Driven Anharmonic Systems | p. 166 |
Phase Portrait | p. 166 |
Poincare Section | p. 167 |
Liapunov Exponent | p. 169 |
Autocorrelation Function | p. 170 |
Power Spectral Density | p. 173 |
Driven Pendulum | p. 174 |
Phase Portrait | p. 174 |
Poincare Section | p. 176 |
Parametrically Driven Pendulum | p. 178 |
Phase Portrait | p. 178 |
Poincare Section | p. 179 |
Driven Van der Pol Equation | p. 181 |
Phase Portrait | p. 181 |
Liapunov Exponent | p. 183 |
Parametrically and Externally Driven Pendulum | p. 185 |
Torsion Numbers | p. 187 |
Controlling of Chaos | p. 191 |
Introduction | p. 191 |
Ott-Yorke-Grebogi Method | p. 191 |
One-Dimensional Maps | p. 191 |
Systems of Difference Equations | p. 195 |
Small Periodic Perturbation | p. 199 |
Resonant Perturbation and Control | p. 201 |
Synchronization of Chaos | p. 203 |
Introduction | p. 203 |
Synchronization of Chaos | p. 203 |
Synchronization Using Control | p. 203 |
Synchronizing Subsystems | p. 206 |
Synchronization of Coupled Dynamos | p. 209 |
Phase Coupled Systems | p. 211 |
Fractals | p. 217 |
Introduction | p. 217 |
Iterated Function System | p. 219 |
Introduction | p. 219 |
Cantor Set | p. 220 |
Heighway's Dragon | p. 223 |
Sierpinski Gasket | p. 225 |
Koch Curve | p. 227 |
Fern | p. 229 |
Grey Level Maps | p. 231 |
Mandelbrot Set | p. 232 |
Julia Set | p. 234 |
Fractals and Kronecker Product | p. 236 |
Lindenmayer Systems and Fractals | p. 240 |
Weierstrass Function | p. 243 |
Cellular Automata | p. 245 |
Introduction | p. 245 |
One-Dimensional Cellular Automata | p. 248 |
Sznajd Model | p. 249 |
Conservation Laws | p. 252 |
Two-Dimensional Cellular Automata | p. 253 |
Button Game | p. 257 |
Solving Differential Equations | p. 261 |
Introduction | p. 261 |
Euler Method | p. 262 |
Lie Series Technique | p. 264 |
Runge-Kutta-Fehlberg Technique | p. 268 |
Ghost Solutions | p. 269 |
Symplectic Integration | p. 272 |
Verlet Method | p. 277 |
Stormer Method | p. 279 |
Invisible Chaos | p. 280 |
First Integrals and Numerical Integration | p. 281 |
Neural Networks | p. 283 |
Introduction | p. 283 |
Hopfield Model | p. 287 |
Introduction | p. 287 |
Synchronous Operations | p. 289 |
Energy Function | p. 291 |
Basins and Radii of Attraction | p. 293 |
Spurious Attractors | p. 293 |
Hebb's Law | p. 294 |
Hopfield Example | p. 296 |
Hopfield C++ Program | p. 298 |
Asynchronous Operation | p. 302 |
Translation Invariant Pattern Recognition | p. 303 |
Similarity Metrics | p. 305 |
Kohonen Network | p. 309 |
Introduction | p. 309 |
Kohonen Algorithm | p. 310 |
Kohonen Example | p. 312 |
Traveling Salesman Problem | p. 318 |
Perceptron | p. 322 |
Introduction | p. 322 |
Boolean Functions | p. 324 |
Linearly Separable Sets | p. 325 |
Perceptron Learning | p. 326 |
Perceptron Learning Algorithm | p. 330 |
One and Two Layered Networks | p. 333 |
XOR Problem and Two-Layered Networks | p. 335 |
Multilayer Perceptrons | p. 339 |
Introduction | p. 339 |
Cybenko's Theorem | p. 340 |
Back-Propagation Algorithm | p. 340 |
Recursive Deterministic Perceptron Neural Networks | p. 348 |
Chaotic Neural Networks | p. 350 |
Neuronal-Oscillator Models | p. 351 |
Radial Basis Function Networks | p. 353 |
Neural Network, Matrices and Eigenvalues | p. 355 |
Genetic Algorithms | p. 357 |
Introduction | p. 357 |
Sequential Genetic Algorithm | p. 358 |
Schemata Theorem | p. 362 |
Bitwise Operations | p. 364 |
Introduction | p. 364 |
Assembly Language | p. 367 |
Floating Point Numbers and Bitwise Operations | p. 369 |
Java Bitset Class | p. 370 |
C++ bitset Class | p. 371 |
Bit Vector Class | p. 373 |
Penna Bit-String Model | p. 376 |
Maximum of One-Dimensional Maps | p. 378 |
Maximum of Two-Dimensional Maps | p. 384 |
Finding a Fitness Function | p. 392 |
Problems with Constraints | p. 398 |
Introduction | p. 398 |
Knapsack Problem | p. 399 |
Traveling Salesman Problem | p. 404 |
Simulated Annealing | p. 412 |
Gene Expression Programming | p. 415 |
Introduction | p. 415 |
Example | p. 418 |
Numerical-Symbolic Manipulation | p. 430 |
Multi Expression Programming | p. 435 |
Optimization | p. 441 |
Lagrange Multiplier Method | p. 441 |
Karush-Kuhn-Tucker Conditions | p. 449 |
Support Vector Machine | p. 453 |
Introduction | p. 453 |
Linear Decision Boundaries | p. 453 |
Nonlinear Decision Boundaries | p. 457 |
Kernel Fisher Discriminant | p. 461 |
Discrete Wavelets | p. 465 |
Introduction | p. 465 |
Multiresolution Analysis | p. 468 |
Pyramid Algorithm | p. 470 |
Biorthogonal Wavelets | p. 475 |
Two-Dimensional Wavelets | p. 480 |
Discrete Hidden Markov Processes | p. 483 |
Introduction | p. 483 |
Markov Chains | p. 485 |
Discrete Hidden Markov Processes | p. 489 |
Forward-Backward Algorithm | p. 493 |
Viterbi Algorithm | p. 496 |
Baum-Welch Algorithm | p. 497 |
Distances between HMMs | p. 498 |
Application of HMMs | p. 499 |
C++ Program | p. 502 |
Fuzzy Sets and Fuzzy Logic | p. 513 |
Introduction | p. 513 |
Operators for Fuzzy Sets | p. 521 |
Logical Operators | p. 521 |
Algebraic Operators | p. 524 |
Defuzzification Operators | p. 525 |
Fuzzy Concepts as Fuzzy Sets | p. 527 |
Hedging | p. 528 |
Quantifying Fuzzyness | p. 529 |
C++ Implementation of Discrete Fuzzy Sets | p. 530 |
Applications: Simple Decision-Making Problems | p. 549 |
Fuzzy Numbers and Fuzzy Arithmetic | p. 555 |
Introduction | p. 555 |
Algebraic Operations | p. 556 |
LR-Representations | p. 559 |
Algebraic Operations on Fuzzy Numbers | p. 562 |
C++ Implementation of Fuzzy Numbers | p. 563 |
Applications | p. 570 |
Fuzzy Rule-Based Systems | p. 571 |
Introduction | p. 571 |
Fuzzy If-Then Rules | p. 574 |
Inverted Pendulum Control System | p. 575 |
Fuzzy Controllers with B-Spline Models | p. 577 |
Application | p. 580 |
Fuzzy C-Means Clustering | p. 582 |
fXOR Fuzzy Logic Networks | p. 586 |
Fuzzy Hamming Distance | p. 588 |
Fuzzy Truth Values and Probabilities | p. 591 |
Bibliography | p. 593 |
Index | p. 601 |
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