[1]   K. Abhishek, S. Leyffer, and J. T. Linderoth. FilMINT: An outer-approximation-based solver for nonlinear mixed integer programs. INFORMS Journal On Computing, 22 (2010), pp. 555–567. doi:10.1287/ijoc.1090.0373

[2]   P. Bonami, A. Wächter, L.T. Biegler, A.R. Conn, G. Cornuéjols, I.E. Grossmann, C.D. Laird, J. Lee, A. Lodi, F. Margot and N. Sawaya. An algorithmic framework for convex mixed integer nonlinear programs. Discrete Optimization, 5 (2008), pp. 186–204. doi:10.1016/j.disopt.2006.10.011

[3]   P. Bonami, G. Cornuéjols, A. Lodi, and F. Margot. A feasibility pump for mixed integer nonlinear programs. Mathematical Programming, 119 (2009), pp. 331–352. doi:10.1007/s10107-008-0212-2

[4]   P. Bonami and J. Gonçalves. Primal heuristics for mixed integer nonlinear programs. Computational Optimization and Applications, 51 (2012), pp. 729–747. doi:10.1007/s10589-010-9350-6

[5]   P. Bonami, M. Kilinç and J. Linderoth. Algorithms and Software for Convex Mixed Integer Nonlinear Programs. In Mixed Integer Nonlinear Programming (J. Lee and S. Leyffer, editors), volume 154 of The IMA Volumes in Mathematics and its Applications (2012), pp. 1–40. doi:10.1007/978-1-4614-1927-3

[6]   M. Duran and I.E. Grossmann. An outer-approximation algorithm for a class of mixed-integer nonlinear programs. Mathematical Programming, 36 (1986), pp. 307–339. doi:10.1007/BF02592064

[7]   O.K. Gupta and V. Ravindran. Branch and bound experiments in convex nonlinear integer programming. Management Science, 31 (1985), pp. 1533–1546. doi:10.1287/mnsc.31.12.1533

[8]   R. Fletcher and S. Leyffer. Solving mixed integer nonlinear programs by outer approximation. Mathematical Programming, 66 (1994), pp. 327–349 doi:10.1007/BF01581153

[9]   R. Fletcher and S. Leyffer. User manual for filterSQP. University of Dundee Numerical Analysis Report NA-181, 1998.

[10]   D.M. Gay. Writing .nl files. Sandia National Laboratories, Technical Report No. 2005-7907P, 2005.

[11]   I. Quesada and I.E. Grossmann. An LP/NLP based branched and bound algorithm for convex MINLP optimization problems. Computers and Chemical Engineering, 16 (1992), pp. 937–947. doi:10.1016/0098-1354(92)80028-8

[12]   R. Fourer and D.M. Gay and B.W. Kernighan. AMPL: A Modeling Language for Mathematical Programming, Second Edition, Duxbury Press Brooks Cole Publishing Co., 2003.

[13]   J. Nocedal, A. Wächter, and R. A. Waltz. Adaptive Barrier Strategies for Nonlinear Interior Methods. SIAM Journal on Optimization, 19 (2008), pp. 1674–1693. doi:10.1137/060649513

[14]   A. Wächter and L. T. Biegler. On the Implementation of a Primal-Dual Interior Point Filter Line Search Algorithm for Large-Scale Nonlinear Programming. Mathematical Programming 106 (2006), pp. 25–57. doi:10.1007/s10107-004-0559-y