|
1 Introduction and motivation
|
|
|
2 Overview of the problem
|
|
|
3 Basic strategies
|
|
|
4 Pitfalls in handling the LDF
|
|
|
5 Computational algorithms
|
|
|
6 Old tools for a new approach: the probabilistic formulation
|
|
|
7 Applications of the probabilistic treatment
|
|
|
8 Future applications of the probabilistic treatment
|
|
|
9 Conclusions
|
|
|
Appendix A: Notation
|
|
|
References
|
