Fractals for the Classroom

Introduction: Causality Principle, Deterministic Laws and Chaos.- 8 Recursive Structures: Growing of Fractals and Plants.- 8.1 L-Systems: A Language For Modeling Growth.- 8.2 Growing Classical Fractals with MRCMs.- 8.3 Turtle Graphics: Graphical Interpretation of L-Systems.- 8.4 Growing Classical Fractals with L-Systems.- 8.5 Growing Fractals with Networked MRCMs.- 8.6 L-System Trees and Bushes.- 8.7 Program of the Chapter: L-systems.- 9 Pascal's Triangle: Cellular Automata and Attractors.- 9.1 Cellular Automata.- 9.2 Binomial Coefficients and Divisibility.- 9.3 IFS: From Local Divisibility to Global Geometry.- 9.4 Catalytic Converters or how many Cells are Black?.- 9.5 Program of the Chapter: Cellular Automata.- 10 Deterministic Chaos: Sensitivity, Mixing, and Periodic Points.- 10.1 The Signs of Chaos: Sensitivity.- 10.2 The Signs of Chaos: Mixing and Periodic Points.- 10.3 Ergodic Orbits and Histograms.- 10.4 Paradigm of Chaos: The Kneading of Dough.- 10.5 Analysis of Chaos: Sensitivity, Mixing, and Periodic Points.- 10.6 Chaos for the Quadratic Iterator.- 10.7 Numerics of Chaos: Worth the Trouble or Not?.- 10.8 Program of the Chapter: Time Series and Error Development.- 11 Order and Chaos: Period-Doubling and its Chaotic Mirror.- 11.1 The First Step From Order to Chaos: Stable Fixed Points.- 11.2 The Next Step From Order to Chaos: The Period Doubling Scenario.- 11.3 The Feigenbaum Point: Entrance to Chaos.- 11.4 From Chaos to Order: a Mirror Image.- 11.5 Intermittency and Crises: The Backdoors to Chaos.- 11.6 Program of the Chapter: Final State Diagram.- 12 Strange Attractors: The Locus of Chaos.- 12.1 A Discrete Dynamical System in Two Dimensions: Hénon's Attractor.- 12.2 Continuous Dynamical Systems: Differential Equations.- 12.3 The Rössler Attractor.- 12.4The Lorenz Attractor.- 12.5 The Reconstruction of Strange Attractors.- 12.6 Fractal Basin Boundaries.- 12.7 Program of the Chapter: Rössler Attractor.- 13 Julia Sets: Fractal Basin Boundaries.- 13.1 Julia