目录: Contents Foreword Introduction: Causality Principle, Deterministic Laws and Chaos 1 The Backbone of Fractals: Feedback and the Iterator 2 Classical Fractals and Self-Similarity 3 Limits and Self-Similarity 4 Length, Area and Dimension: Measuring Complexity and Scaling Properties 5 Encoding Images by Simple Transformations 6 The Chaos Game: How Randomness Creates Deterministic Shapes 7 Recursive Structures: Growing Fractals and Plants 8 Pascal’s Triangle: Cellular Automata and Attractors 9 Irregular Shapes: Randomness in Fractal Constructions 10 Deterministic Chaos: Sensitivity, Mixing, and Periodic Points 11 Order and Chaos: Period-Doubling and Its Chaotic Mirror 12 Strange Attractors: The Locus of Chaos 13 Julia Sets: Fractal Basin Boundaries 14 The Mandelbrot Set: Ordering the Julia Sets Bibliography Index
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