A comprehensive introduction to state-of-the-art quantum Monte Carlo techniques for applications in strongly-interacting systems including a presentation of stochastic samplings.
Inhaltsverzeichnis
Part I. Introduction: 1. Correlated models and wave functions; Part II. Probability and Sampling: 2. Probability theory; 3. Monte Carlo sampling and Markov chains; 4. Langevin molecular dynamics; Part III. Variational Monte Carlo: 5. Variational Monte Carlo; 6. Optimization of variational wave functions; 7. Time-dependent variational Monte Carlo; Part IV. Projection Techniques: 8. Green's function Monte Carlo; 9. Reptation quantum Monte Carlo; 10. Fixed-node approximation; 11. Auxiliary field quantum Monte Carlo; Part V. Advanced Topics: 12. Realistic simulations on the continuum; Appendix. Pseudo-random numbers generated by computers; References; Index.