Padova
    Francesco Rinaldi 
Papers published on International Journals
  1. D. GARMATTER, M. PORCELLI, F. RINALDI, M. STOLL, An Improved Penalty Algorithm using Model Order Reduction for MIPDECO problems with partial observations . Accepted for publication on Computational Optimization and Applications, 2022.
  2. T. GIOVANNELLI, G. LIUZZI, S. LUCIDI, F. RINALDI, Derivative-free methods for mixed-integer nonsmooth constrained optimization. Accepted for publication on Computational Optimization and Applications, 2022.
  3. E. BETTIOL, I. M. BOMZE, L. LETOCART, F. RINALDI, E. TRAVERSI, Mining for diamonds - matrix generation algorithms for binary quadratically constrained quadratic problems. Accepted for publication on Computers and Operations Research, 2022.
  4. S. LUCIDI, M. PASSACANTANDO, F. RINALDI, Solving non-monotone equilibrium problems via a DIRECT-type approach . Accepted for publication on Journal of Global Optimization, 2021.
  5. D. GARMATTER, M. PORCELLI, F. RINALDI, M. STOLL, Improved Penalty Algorithm for Mixed Integer PDE Constrained Optimization (MIPDECO) Problems . Accepted for publication on Computers and Mathematics with Applications, 2021.
  6. I. M. BOMZE, F. RINALDI, D. ZEFFIRO, Fast cluster detection in networks by first-order optimization . Accepted for publication on SIAM Journal on Mathematics of Data Science, 2021.
  7. V. KUNGURTSEV, F. RINALDI, A Zeroth Order Method for Stochastic Weakly Convex Optimization . Accepted for publication on Computational Optimization and Applications, 2021.
  8. I. M. BOMZE, F. RINALDI, D. ZEFFIRO, Frank-Wolfe and friends: a journey into projection-free first-order optimization methods . Invited Survey. Accepted for publication on 4OR, 2021.
  9. L. PASETTO ET AL. Decoding distinctive features of plasma extracellular vesicles in amyotrophic lateral sclerosis . Accepted for publication on Molecular Neurodegeneration, 2021.
    10. Media Coverage:
  10. A. CRISTOFARI, F. RINALDI, A derivative-free method for structured optimization problems. Accepted for publication on SIAM Journal on Optimization, 2021.
  11. M. CONFORTI, M. DE SANTIS, M. DI SUMMA, F. RINALDI, Scanning integer points with lex-cuts: A finite cutting plane algorithm for integer programming with linear objective . Accepted for publication on 4OR, 2020.
  12. I. M. BOMZE, F. RINALDI, D. ZEFFIRO, Active Set Complexity of the Away-step Frank-Wolfe Algorithm . Accepted for publication on SIAM Journal on Optimization, 2020.
  13. A. CRISTOFARI, M. DE SANTIS, S. LUCIDI, F. RINALDI, An Active-Set Algorithmic Framework for Non-Convex Optimization Problems over the Simplex. Accepted for publication on Computational Optimization and Applications, 2020 (previous version: New Active-Set Frank-Wolfe Variants for Minimization over the Simplex and the l1-ball).
  14. A. CRISTOFARI, F. RINALDI, F. TUDISCO Total variation based community detection using a nonlinear optimization approach. Accepted for publication on SIAM Journal on Applied Mathematics, 2020.
  15. G. LIUZZI, S. LUCIDI, F. RINALDI, An algorithmic framework based on primitive directions and nonmonotone line searches for black box problems with integer variables. Accepted for publication on Mathematical Programming Computation, 2020.
  16. E. BETTIOL, L. LETOCART, F. RINALDI, E. TRAVERSI, A conjugate direction based simplicial decomposition framework for solving a specific class of dense convex quadratic programs. Accepted for publication on Computational Optimization and Applications, 2019.
  17. G. LIUZZI, S. LUCIDI, F. RINALDI, L.N. VICENTE, Trust-region methods for the derivative-free optimization of nonsmooth black-box functions . Accepted for publication on SIAM Journal on Optimization, 2019.
  18. I. M. BOMZE, F. RINALDI, S. ROTA BULÒ, First-order methods for the impatient: support identification in finite time with convergent Frank-Wolfe variants . Accepted for publication on SIAM Journal on Optimization, 2019.
  19. I. M. BOMZE, F. RINALDI, S. ROTA BULÒ, Pure infection-immunization dynamics for partnership games: A correction Accepted for publication on Games and Economic Behavior, 2018.
  20. J. T. HUNGERFORD, F. RINALDI, A General Regularized Continuous Formulation for the Maximum Clique Problem. Accepted for publication on Mathematics of Operations Research, 2018.
  21. E. F. CAMPANA, M. DIEZ, U. IEMMA, G. LIUZZI, S. LUCIDI, V. PICCIALLI, F. RINALDI, A. SERANI, A Multi-objective DIRECT algorithm for ship hull optimization. Accepted for publication on Computational Optimization and Applications, 2017.
  22. C. BUCHHEIM, M. DE SANTIS, F. RINALDI, L. TRIEU, A Frank-Wolfe Based Branch-and-Bound Algorithm for Mean-Risk Optimization. Accepted for publication on Journal of Global Optimization, 2017.
  23. A. CRISTOFARI, M. DE SANTIS, S. LUCIDI, F. RINALDI, A Two-Stage Active-Set Algorithm for Bound-Constrained Optimization. Journal of Optimization Theory and Applications, Vol. 172, No. 2, pp. 369-401, 2017.[Code]
  24. G. DI PILLO, G. LIUZZI, S. LUCIDI, F. RINALDI, V. PICCIALLI A DIRECT-type approach for derivative-free constrained global optimization. Computational Optimization and Applications,Vol. 65, No. 2, pp. 361-397, 2016.
  25. G. LIUZZI, S. LUCIDI, F. RINALDI A Derivative-free Approach to Constrained Multiobjective Nonsmooth Optimization. SIAM Journal on Optimization Vol. 26, No. 4, pp. 2744-2774, 2016.
  26. S. LUCIDI, M. MAURICI, L. PAULON, F. RINALDI, M. ROMA, A simulation-based multiobjective optimization approach for health care services management. IEEE Transactions on Automation Science and Engineering, Vol. 13, No. 4, pp. 1480-1491, 2016.
  27. C. BUCHHEIM, M. DE SANTIS, S. LUCIDI, F. RINALDI, L. TRIEU A Feasible Active Set Method with Reoptimization for Convex Quadratic Mixed-Integer Programming. SIAM Journal on Optimization, Vol. 26, No. 1, pp. 1695-1714, 2016.
  28. M. DE SANTIS, P. FESTA, G. LIUZZI, S. LUCIDI, F. RINALDI, Nonmonotone GRASP. Mathematical Programming Computation, Vol. 8, No. 3, pp. 271-309, 2016.
  29. M. DE SANTIS, S. LUCIDI, F. RINALDI, A Fast Active Set Block Coordinate Descent Algorithm for l1-regularized least squares. SIAM Journal on Optimization, Vol. 26, No. 1, pp. 781-809, 2016.
  30. E. F. CAMPANA, M. DIEZ, U. IEMMA, G. LIUZZI, S. LUCIDI, F. RINALDI, A. SERANI, Derivative-free global ship design optimization using global/local hybridization of the DIRECT algorithm. Optimization and Engineering, Vol. 17, No. 1, pp. 127-156, 2016.
  31. S. LUCIDI, M. MAURICI, L. PAULON, F. RINALDI, M. ROMA, A derivative-free approach for a simulation-based optimization problem in healthcare. Optimization Letters, Vol. 10, No. 2, pp. 219-235, 2016.
  32. G. LIUZZI, S. LUCIDI, F. RINALDI, Derivative-free methods for constrained mixed-integer optimization. Journal of Optimization Theory and Applications, 164(3), pp 933-965, 2015.[Code]
  33. G. DI PILLO, S. LUCIDI, F. RINALDI, A Derivative-free Algorithm for Constrained Global Optimization based on Exact Penalty Functions.. Journal of Optimization Theory and Applications, 164(3), pp 862-882, 2015.
  34. A. CICCAZZO, V. LATORRE, G. LIUZZI, S. LUCIDI, F. RINALDI, Derivative-Free Robust Optimization for Circuit Design. Journal of Optimization Theory and Applications, 164(3), pp 842-861, 2015.
  35. G. LIUZZI, F. RINALDI Solving l0 Penalized Problems with Simple Constraints via the Frank-Wolfe Reduced Dimension Method. 2012, TR, IASI-CNR. Optimization Letters, 9(1), pp. 57-74, 2015.
  36. L. GRIPPO, F. RINALDI, A class of derivative-free nonmonotone optimization algorithms employing coordinate rotations and gradient approximations. Computational Optimization and Applications, 60(1), pp. 1-33, 2014.
  37. G. FASANO, G. LIUZZI, S. LUCIDI, F. RINALDI A Linesearch-based Derivative-free Approach for Nonsmooth Constrained Optimization. SIAM Journal on Optimization, 24(3), pp. 959-992. 2014.
  38. M. PORCELLI, F. RINALDI, A variable fixing version of the two-block nonlinear constrained Gauss-Seidel algorithm for l1-regularized least-squares. Computational Optimization and Applications, 59(3), pp. 565-589, 2014.
  39. M. DE SANTIS, F. RINALDI, E. FALCONE, S. LUCIDI, G. PIAGGIO, A. GURTNER, L. FARINA, Combining optimization and machine learning techniques for genome wide prediction of human cell cycle-regulated genes.. Bioinformatics, Vol. 30(2), pp. 228-233, 2014.
  40. M. DE SANTIS, S. LUCIDI, F. RINALDI, "Feasibility Pump-like heuristics for mixed integer problems. Discrete Applied Mathematics, 165, pp. 152 - 167, 2014.
  41. M. DE SANTIS, S. LUCIDI, F. RINALDI, A new class of functions for measuring solution integrality in the Feasibility Pump approach. SIAM Journal on Optimization, Vol. 23, No. 3, pp. 1575-1606, 2013.
  42. S. LUCIDI, F. RINALDI, An Exact Penalty Global Optimization Approach for Mixed-Integer Programming Problems. Optimization Letters, 7(2), pp. 297-307, 2013.
  43. D. DI LORENZO, G. LIUZZI, F. RINALDI, F. SCHOEN, M. SCIANDRONE, A concave optimization-based approach to sparse portfolio selection. Optimization Methods and Software, 27(6), pp. 983-1000, 2012.
  44. G. DI PILLO, S. LUCIDI, F. RINALDI, An approach to constrained global optimization based on exact penalty functions. Journal of Global Optimization, 54(2), pp. 251-260, 2012.
  45. G. LIUZZI, S. LUCIDI, F. RINALDI, Derivative-free methods for bound constrained mixed-integer optimization. Computational Optimization and Applications, 53(2), pp. 505-526, 2012.[Code]
  46. S. LUCIDI, F. PARASILITI, F. RINALDI, M. VILLANI, Finite Element Based Multi-Objective Design Optimization Procedure of Interior Permanent Magnet Synchronous Motors for Wide Constant-Power Region Operation. IEEE Transactions on Industrial Electronics, 59(6), pp. 2503-2514, 2012.
  47. M. DE SANTIS, F. RINALDI, Continuous reformulations for zero-one programming problems. Journal of Optimization Theory and Applications, 153(1), pp. 75-84, 2012.
  48. F. RINALDI, Concave programming for finding sparse solutions to problems with convex constraints. Optimization Methods and Software, 26(6), pp. 971-992, 2011.
  49. M. PIACENTINI, F. RINALDI, Path Loss Prediction in Urban Environment Using Learning Machines and Dimensionality Reduction Techniques. Computational and Management Science, 8(4), pp. 371-385, 2011.
  50. F. RINALDI, F. SCHOEN, M. SCIANDRONE, Concave programming for minimizing the zero-norm over polyhedral sets. Computational Optimization and Applications, Springer New York (USA), 46(3), pp. 467-486, 2010.
  51. S. LUCIDI, F. RINALDI, Exact Penalty Functions for Nonlinear Integer Programming Problems. Journal of Optimization Theory and Applications, Springer New York (USA), 145(3), pp. 479-488, 2010.
  52. F. RINALDI, M. SCIANDRONE, Feature selection combining linear support vector machines and concave optimization. Optimization Methods and Software, Taylor & Francis, London (UK), 25(1), pp. 117-128, 2010.
  53. A. DE GAETANO, S. PANUNZI, F. RINALDI, A. RISI, M. SCIANDRONE, A Patient Adaptable ECG Beat Classifier Based on Neural Networks. Applied Mathematics and Computation, Elsevier Ocean Isle Beach, NC (USA), 213(1), pp. 243-249, 2009.
  54. F. RINALDI, New results on the equivalence between zero-one programming and continuous concave programming. Optimization Letters, Springer Berlin/Heidelberg (Germany), 3(3), pp. 377-386, 2009.

Papers submitted for publication
  1. F. RINALDI, L.N. VICENTE, D. ZEFFIRO, A weak tail-bound probabilistic condition for function estimation in stochastic derivative-free optimization . Submitted 2022.
  2. V. KUNGURTSEV, F. RINALDI, D. ZEFFIRO, Retraction based Direct Search Methods for Derivative Free Riemannian Optimization . Submitted 2022.
  3. E. BETTIOL, C. BUCHHEIM, M. DE SANTIS, S. LUCIDI, F. RINALDI, An oracle-based framework for robust combinatorial optimization . Submitted 2021.
  4. A. CRISTOFARI, M. DE SANTIS, S. LUCIDI, F. RINALDI, Minimization over the l1-ball using an active-set non-monotone projected gradient . Submitted, 2021.
  5. S. VENTURINI, A. CRISTOFARI, F. RINALDI, F. TUDISCO Louvain-like Methods for Community Detection in Multi-Layer Networks . Submitted, 2021.
  6. E. BETTIOL, L. LETOCART, F. RINALDI, E. TRAVERSI, A simplicial decomposition-based branch and price forconvex quadratic mixed binary problems. Submitted, 2021.
  7. M. LAPUCCI, T. LEVATO, F. RINALDI, M. SCIANDRONE, A Unifying Framework for Sparsity Constrained Optimization . Submitted, 2021.
  8. F. RINALDI, D. ZEFFIRO, A unifying framework for the analysis of projection-free first-order methods under a sufficient slope condition . arXiv preprint arXiv:2008.09781, 2020.
Other publications
  1. F. RINALDI, Mathematical Programming Methods for minimizing the zero norm over polyhedral sets. Dipartimento di Statistica, Probabilità e Statistiche Applicate, Sapienza, Università di Roma, 2009
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Dipartimento di Matematica - Università di Padova - Via Trieste, 63 35121 Padova - Italy