Interdisciplinary Computing in Java Programming

I Java Language.- 1. Java Basics.- 1.1 Object Oriented Programming.- 1.2 An Object Example.- 1.3 Primitive Data Types.- 1.4 Class Constructor.- 1.5 Methods of a Class.- 1.6 Exceptions.- 1.7 Inheritance.- 1.8 Usage of the Matrix Class.- 1.9 Running the Program.- 1.10 Summary.- 1.11 References and Further Reading.- 2. Graphical And Interactive Java.- 2.1 Windowed Programming.- 2.2 Example of a Window Object.- 2.3 Frame.- 2.4 Panel.- 2.5 Menu.- 2.6 Interactions.- 2.7 File Input/Output.- 2.8 StreamTokenizer.- 2.9 Graphics.- 2.10 Printing.- 2.11 Summary.- 2.12 References and Further Reading.- 3. High Performance Computing.- 3.1 Parallel Computing.- 3.2 Java Threads.- 3.3 An Example of Parallel Computing.- 3.4 Distributed Computing.- 3.5 Remote Method Invocation.- 3.6 An RMI Client.- 3.7 The Remote Interface.- 3.8 Serialization.- 3.9 A Reflective RMI Server.- 3.10 Reflection.- 3.11 Build and Run the Server.- 3.12 Build and Run the Client.- 3.13 Summary.- 3.14 Appendix.- 3.15 References and Further Reading.- II Computing.- 4. Simulated Annealing.- 4.1 Introduction.- 4.2 Metropolis Algorithm.- 4.3 Ising Model.- 4.4 Cooling Schedule.- 4.5 3-Dimensional Plot and Animation.- 4.6 An Annealing Example.- 4.7 Minimization of Functions of Continuous Variables.- 4.8 Summary.- 4.9 References and Further Reading.- 5. Artificial Neural Network.- 5.1 Introduction.- 5.2 Structural vs. Temporal Pattern Recognition.- 5.3 Recurrent Neural Network.- 5.4 Steps in Designing a Forecasting Neural Network.- 5.5 How Many Hidden Neurons/Layers ?.- 5.6 Error Function.- 5.7 Kohonen Self-Organizing Map.- 5.8 Unsupervised Learning.- 5.9 A Clustering Example.- 5.10 Summary.- 5.11 References and Further Reading.- 6. Genetic Algorithm.- 6.1 Evolution.- 6.2 Crossover.- 6.3 Mutation.- 6.4 Selection.- 6.5 Traveling Salesman Problem.- 6.6 Genetic Programming.- 6.7 Prospects.- 6.8 Summary.- 6.9 References and Further Reading.- 7. Monte Carlo Simulation.- 7.1 Random Number Generators.- 7.2 Inverse Transform Method.- 7.3 Acceptance-Rejection.- Error Estimation.- 7.5 Multivariate Distribution with a Specified Correlation Matrix.- 7.6 Stochastic-Volatility Jump-Diffusion Process.- 7.7 A Cash Flow Example.- 7.8 Variance Reduction Techniques.- 7.9 Summary.- 7.10 References and Further Reading.- 8. Molecular Dynamics.- 8.1 Computer Experiment.- 8.2 Statistical Mechanics.- 8.3 Ergodicity.- 8.4 Lennard-Jones Potential.- 8.5 Velocity Verlet Algorithm.- 8.6 Correcting for Finite Size and Finite Time.- 8.7 An Evaporation Example.- 8.8 Summary.- 8.9 References and Further Reading.- 9. Cellular Automata.- 9.1 Complexity.- 9.2 Self-Organized Criticality.- 9.3 Simulation by Cellular Automata.- 9.4 Lattice Gas Automata.- 9.5 A Hydrodynamic Example.- 9.6 Summary.- 9.7 References and Further Reading.- 10. Path Integral.- 10.1 Feynman's Sum Over Histories.- 10.2 Numerical Path Integration and Feynman-Kac Formula.- 10.3 Options in Finance.- 10.4 A Path Integral Approach to Option Pricing.- 10.5 Importance Sampling (Metropolis-Hastings algorithm).- 10.6 Implementation.- 10.7 Summary.- 10.8 References and Further Reading.- 11. Data Fitting.- 11.1 Chi-Square.- 11.2 Marquardt Recipe.- 11.3 Uncertainties in the Best-Fit Parameters.- 11.4 Arbitrary Distributions by Monte Carlo.- 11.5 A Surface Fit Example.- 11.6 Summary.- 11.7 References and Further Reading.- 12. Bayesian Analysis.- 12.1 Bayes Theorem.- 12.2 Principle of Maximum Entropy.- 12.3 Likelihood Function.- 12.4 Image/Spectrum Restoration.- 12.5 An Iterative Procedure.- 12.6 A Pixon Example.- 12.7 Summary.- 12.8 References and Further Reading.- 13. Graphical Model.- 13.1 Directed Graphs.- 13.2 Bayesian Information Criterion.- 13.3 Kalman Filter.- 13.4 A Progressive Procedure.- 13.5 Kalman Smoother.- 13.6 Initialization of the Filter.- 13.7 Helix Tracking.- 13.8 Buffered I/O.- 13.9 The Kalman Code.- 13.10H Infinity Filters.- 13.11Properties of H Infinity Filters.- 13.12Summary.- 13.13References and Further Reading.- 14. Jni Technology.- 14.1 Java Native Interface.- 14.2 JNI How-To.- 14.3 Call Fortran Programs from C.- 14.4 A JNI Example.- 14.5 Summary.- 14.6 References and Further Reading.- Appendices.- A.- A.1 Web Computing.- A.2 Class Sources.- Inde.