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  • 1

    Large Scale Optimization Templates

    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.
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  • 2
    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).
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  • 3
    ...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 ....
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