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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.
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Libcutils provides a self-contained set of fundamental routines which are
essential to basically any Unix utility or daemon application written in C. The
library provides fundamental data structures such as lists, hash-maps, strings
and parsing functions for JSON or the typical dot-filebased configuration data.
The following list summarizes the currently supported functionality:
* length delimited instead of NULL terminated strings
* memory management based on reference counting
* several list processing functions like iterators and map-reduce
* support of [Ideal Hash Tries](http://infoscience.epfl.ch/record/64398/files/idealhashtrees.pdf)
for highly efficient hash map data structures
* parsers for [JSON](http://json.org) data and the text configuration files found
in Unix system
* doubly linked circular lists for reliable event queues
* support for test and debugging of memory management problems such as memory leaks
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