simulated annealing optimization and importance-sampling
Adaptive Simulated Annealing (ASA) is a C-language code that finds the best global fit of a nonlinear cost-function over a D-dimensional space. ASA has over 100 OPTIONS to provide robust tuning over many classes of nonlinear stochastic systems.
This project implements insert and remove operations on AVL trees. Comments in the source explain the implementation. Test applications perform a run-time check of insert and remove methods. A bash script builds and executes the test applications.
Kuhn-Munkres is used inside assignment problem solver application. Instance generator application creates input file for the solver. Checker application verifies the solution computed by the solver. A bash script compiles, executes these apps.