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C++ templates with generic nonlinear optimization algorithms
Highly tunable, simple to use collection of the templates, containing a set of classes for solving unconstrained large scale nonlinear optimization problems. Currently it contains:
-- Limited Memory Quasi Newton (L-BFSG)
-- BFSG
-- Conjugate Gradient
-- Gradient Descent
-- Wolf condition Line Search
-- Backtracking Line Search
-- Exact Golden Search
-- Golden Search with Wolf condition
We also distribute a set of tests with the library.
During a course at University "La Sapienza" in Rome I developed a fully working SAT solver based on unit propagation and backtracking; it can read DIMACS files and process cnf formulas of any length(there are no restrictions on the number of literals).
...Using the DPLL algorithm and reading file in DIMACS format (cnf boolean expression). Tiger Solver use most features of many important sat-solver: - Double watches list - Chronological Backtracking ....