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Alex Carrega
Ph.D. IT & Network Engineer

Curriculum vitae



+39 348-74.85.497


TNT Lab @ UniGe

CNIT

via Opera Pia 13, 16154 Genoa, Italy



Advanced Techniques for Propositional Satisfiability


Master's thesis


Alessandro Carrega
University of Genoa, Genoa, Italy, 2009 Feb 11

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APA   Click to copy
Carrega, A. (2009, February 11). Advanced Techniques for Propositional Satisfiability (Master's thesis). University of Genoa, Genoa, Italy.


Chicago/Turabian   Click to copy
Carrega, Alessandro. “Advanced Techniques for Propositional Satisfiability.” Master's thesis, University of Genoa, 2009.


MLA   Click to copy
Carrega, Alessandro. Advanced Techniques for Propositional Satisfiability. University of Genoa, 11 Feb. 2009.


BibTeX   Click to copy

@mastersthesis{carrega2009a,
  title = {Advanced Techniques for Propositional Satisfiability},
  year = {2009},
  month = feb,
  day = {11},
  address = {Genoa, Italy},
  school = {University of Genoa},
  author = {Carrega, Alessandro},
  month_numeric = {2}
}

Development of StaGe, a C++ SAT solver, its advanced solving techniques, and experimental comparisons with established SAT solvers, highlighting the effectiveness of Progress Saving combined with Score Initialization and the challenges of improving computational efficiency.
Development of StaGe, a C++ SAT solver, its advanced solving techniques, and experimental comparisons with established SAT solvers, highlighting the effectiveness of Progress Saving combined with Score Initialization and the challenges of improving computational efficiency.
Main contributions of the PhD thesis “Techniques for Optimal Exploitation of Green Networking Capabilities in Future Internet Devices” by Alessandro Carrega. The figure highlights energy-aware network architectures, adaptive power management, intelligent traffic optimization, and experimental results demonstrating the potential for substantial energy savings while maintaining network performance.
Main contributions of the PhD thesis “Techniques for Optimal Exploitation of Green Networking Capabilities in Future Internet Devices” by Alessandro Carrega. The figure highlights energy-aware network architectures, adaptive power management, intelligent traffic optimization, and experimental results demonstrating the potential for substantial energy savings while maintaining network performance.

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