• Avriel, M. and Golany, B.:
    Mathematical Programming for Industrial Engineers.
    Marcel Dekker:1996.
    Remark: Contains introductory chapters to several areas of mathematical optimization. well suited for beginners.
  • Bertsekas, Dimitri P.:
    Nonlinear Programming
    2nd ed. Athena Scientific, 1999.
  • Bjoerck, Ake :
    Numerical methods for least squares problems.
    Philadelphia, SIAM 1996.
    Remark: Very well written book with lots of nonstandard information.
  • Bonnans, J.F., Gilbert, J.C., Lemarechal, C., Sagastizabal, C.A.:
    Numerical Optimization
    (2nd edition). Springer: 2006.
    Remark: Both theory and details on implementations; nonsmooth optimization, interior-point methods etc.
  • Bücker, M. et al (eds.):
    Automatic Differentiation - Applications, Theory and Implementations
    Springer 2006.
    Remark: covers the state of the art in automatic differentiation theory and practice.
  • Conn, A.R., Scheinberg, K., and Vicente, L.N.:
    Introduction to Derivative-Free Optimization .
    SIAM:2009.
    Remark:First contemporary comprehensive treatment of optimization without derivatives
  • Dennis, E. and Schnabel, B.:
    Numerical Methods for Unconstrained Optimization and Nonlinear Equations.
    Prentice Hall, 1983. (reprinted by SIAM).
    Remark: a classic in its field.
  • Fiacco, A. and McCormick, G. P.:
    Sequential Unconstrained Minimization Techniques.
    reprinted by SIAM.
    Remark: A classic from 1968, given new life by the interior point LP methods.
  • Griewank, A. and Walther, A. :
    Evaluating Derivatives: Principles and Techniques of Algorithmic Differentiation
    2nd edition. Philadelphia, PA: SIAM (2008)
  • Griva, Igor; Nash, Stephen G.; Sofer, Ariela:
    Linear and nonlinear optimization.
    2nd ed. Philadelphia, PA: SIAM (2009).
  • Hansen, E, and G.W. Walster:
    Global Optimization Using Interval Analysis.
    Dekker, 2003.
    Remark: technique not covered by this tool, but of increasing importance.
  • Kelley, C.T.:
    Iterative methods of optimization.
    Philadelphia: SIAM 1999.
  • Luenberger, D. G. and Ye, Yinyu:
    Introduction to Linear and Nonlinear Programming
    Springer, 2008.
  • Nocedal, J. and Wright, St.:
    Numerical Optimization .
    2nd ed. Springer, 2006.
    Remark: Very well written modern introduction into continuous optimization.
  • Roos, C., Terlaky T. and Vial, J. Ph.:
    Theory and Algorithms for Linear Optimization: An Interior Point Approach.
    John Wiley, Chichester, 1997.
  • Vanderbei, R. J.:
    Linear Programming: Foundations and Extensions.
    Springer, 1996.
    Remark: Balanced coverage of simplex and interior-point methods. Source code available on-line for all algorithms presented.
  • Ye, Yinyu:
    Interior Point Algorithms: Theory and Analysis.
    John Wiley, 1997
 
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24.06.2011