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Bibliografía básica
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Ahuja, R.K., Magnanti, T.L. y Orlin, J.B. (1993). Network Flows. Theory, Algorithms and Applications. Prentice-Hall
Bazaraa, M.S., Jarvis, J.J. y Sherali, H.D. (2010). Linear Programming and Network Flows. Wiley
Hillier, F. y Lieberman, G. (2016). Introduction to operations research. McGraw-Hill
Martín, Q., Santos, M.T. y Santana, Y. (2005). Investigación Operativa. Problemas y ejercicios resueltos. Pearson
Pedregal, P. (2004). Introduction to Optimization. Springer
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Bibliografía complementaria
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Bazaraa, M.S., Sherali, H.D. y Shetty, C.M. (2006). Nonlinear programming. Theory and algorithms. Wiley
Birge, J.R. y Louveaux, F. (2011). Introduction to Stochastic Programming. Springer
Chong, E.K.P. y Zak, S.H. (2013). An Introduction to Optimization. Wiley
Cortez, P. (2014). Modern optimization with R. Springer-Verlag
Fourer, R. Gay, D.M. y Kernigham, B.W. (2002). AMPL: A modeling language for Mathematical Programming. Duxbury Press
Hart, W.E., Laird, C., Watson, J.P. y Woodruff, D.L. (2012). Pyomo: Optimization Modeling in Python. Springer
Salazar-González, J.J. (2001). Programación Matemática. Díaz de Santos
Taha, H.A. (2012). Investigación de operaciones. Pearson
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Asignaturas