Computational Physics: Problem Solving with Computers, 2nd Edition

- Computational Software Basics
- Errors and Uncertainties in Computations
- Object-Oriented Programming: Kinematics
- Integration
- Differentiation
- Trial & Error Searching
- Matrix Computing and N-D Newton Raphson
- Data Fitting
- Deterministic Randomness
- Monte Carlo Applications
- Thermodynamic Simulations: Ising Model
- Computer Hardware Basics: Memory and CPU
- High Performance Computing: Profiling and Tuning
- Differential Equation Applications
- Quantum Eigenvalues via ODE Matching
- Fourier Analysis of Linear and Nonlinear Signals
- Unusual Dynamics of Nonlinear Systems
- Differential Chaos in Phase Space
- Fractals
- Parallel Computing
- Parallel Computing with MPI
- Electrostatics Potentials via Finite Differences (PDEs)
- Heat Flow
- PDE Waves on Strings and Membranes
- Solitons;
KdeV and Sine-Gordon
- Quantum Wave Packets
- Quantum Paths for Functional Integration
- Quantum Bound States via Integral Equations
- Quantum Scattering via Integral Equations

Appendices:
PtPlot: 2D Graphs within Java
Glossary
Fortran 95 Codes
Fortran 77 Codes
C Language Codes