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1

Neil, Cameron. Introduction to linear and convex programming. Cambridge: Cambridge University Press, 1985.

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2

Șandru, Ovidiu-Ilie. Noneuclidean convexity: Applications in the programming theory. București: Editura Tehnică, 1998.

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3

Hiriart-Urruty, Jean-Baptiste. Fundamentals of convex analysis. Berlin: Springer, 2001.

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4

1944-, Lemaréchal Claude, ed. Fundamentals of convex analysis. Berlin: Springer, 2001.

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5

Xiaoqi, Yang, ed. Lagrange-type functions in constrained non-convex optimization. Boston: Kluwer Academic Publishers, 2003.

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6

Foundations of optimization. New York: Springer, 2010.

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7

Gao, David Yang. Duality principles in nonconvex systems: Theory, methods, and applications. Dordrecht: Kluwer Academic Publishers, 2000.

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8

Convex analysis and global optimization. Dordrecht: Kluwer Academic Publishers, 1998.

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9

Hiriart-Urruty, Jean-Baptiste. Convex analysis and minimization algorithms. 2nd ed. Berlin: Springer-Verlag, 1996.

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10

Hiriart-Urruty, Jean-Baptiste. Convex analysis and minimization algorithms. Berlin: Springer-Verlag, 1993.

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11

Joaquim António dos Santos Gromicho. Quasiconvex optimization and location theory. Dordrecht: Kluwer, 1997.

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12

Joaquim António dos Santos Gromicho. Quasiconvex optimization and location theory. Amsterdam: Thesis Publishers, 1995.

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13

Rubinov, Aleksandr Moiseevich. Abstract convexity and global optimization. Dordrecht: Kluwer Academic Publishers, 2000.

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14

A, Krysov I͡U︡, ed. Sovmestnoe agregirovanie v parametricheskikh zadachakh vypuklogo programmirovanii͡a︡ i mnogokriterialʹnoĭ optimizat͡s︡ii. Moskva: Vychislitelʹnyĭ t͡s︡entr AN SSSR, 1985.

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15

1929-, Ponstein Jacob, ed. Convexity and duality in optimization: Proceedings of the Symposium on Convexity and Duality in Optimization held at the University of Groningen, the Netherlands, June 22, 1984. Berlin: Springer-Verlag, 1985.

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16

Renegar, James. A mathematical view of interior-point methods in convex optimization. Philadelphia, PA: Society for Industrial and Applied Mathematics, 2001.

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17

Nanda, Sudarsan. Two applications of functional analysis. Kingston, Ont., Canada: Queen's University, 1986.

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18

N, Iusem Alfredo, ed. Totally convex functions for fixed points computation and infinite dimensional optimization. Dordrecht: Kluwer Academic Publishers, 2000.

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19

International Workshop on "Generalized Concavity, Fractional Programming, and Economic Applications" (1988 University of Pisa). Generalized convexity and fractional programming with economic applications: Proceedings of the International Workshop on "Generalized Concavity, Fractional Programming, and Economic Applications" held at the University of Pisa, Italy, May 30-June 1, 1988. Berlin: Springer-Verlag, 1990.

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20

Komlósi, S. Second order conditions of generalized convexity and local optimality in nonlinear programming: The quasi-Hessian approach. Pécs [Hungary]: Janus Pannonius Tudományegyetem, 1985.

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21

Nanda, Sudarsan. Two applications of functional analysis. Kingston, Ont: Queen's University, 1986.

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22

Barbu, Viorel. Convexity and optimization in Banach spaces. 2nd ed. București, Romania: Editura Academiei, 1986.

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23

1941-, Precupanu Theodor, ed. Convexity and optimization in banach spaces. 4th ed. Dordrecht: Springer, 2012.

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24

Bolti͡anskiĭ, V. G. Geometric methods and optimization problems. Dordrecht: Kluwer Academic Publishers, 1999.

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25

M, Teboulle, ed. Asymptotic cones and functions in optimization and variational inequalities. New York: Springer, 2003.

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26

Liana, Lupșa, ed. Non-connected convexities and applications. Dordrecht: Kluwer Academic Publishers, 2002.

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27

Introduction to linear and convex programming. Cambridge [Cambridgeshire]: Cambridge University Press, 1985.

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28

Separable programming: Theory and methods. Boston: Kluwer Academic Publishers, 2001.

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29

Litvinov, G. L. (Grigoriĭ Lazarevich), 1944- editor of compilation and Sergeev, S. N., 1981- editor of compilation, eds. Tropical and idempotent mathematics and applications: International Workshop on Tropical and Idempotent Mathematics, August 26-31, 2012, Independent University, Moscow, Russia. Providence, Rhode Island: American Mathematical Society, 2014.

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30

McCormick, Garth P. Limits of SUMT trajectories in convex programming. Gaithersburg, MD: U.S. Dept. of Commerce, Technology Administration, National Institute of Standards and Technology, 1997.

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31

Mathematical programming. Mineola, N.Y: Dover Publications, 2009.

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32

Semenovich, Nemirovskiĭ Arkadiĭ, ed. Interior-point polynomial algorithms in convex programming. Philadelphia: Society for Industrial and Applied Mathematics, 1994.

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33

Theory of linear optimization. Utrecht: VSP, 2002.

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34

Semenovich, Nemirovskiĭ Arkadiĭ, ed. Self-concordant functions and polynomial-time methods in convex programming. Moscow: USSR Academy of Sciences, Central Economic & Mathematic Institute, 1989.

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35

Karmanov, V. G. Mathematical programming. Moscow: Mir Publishers, 1989.

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36

Vajda, S. Mathematical programming. Mineola, N.Y: Dover Publications, 2009.

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37

Craven, B. D. Fractional programming. Berlin: Heldermann, 1988.

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38

Lay, Steven R. Convex sets and their applications. Malabar, Fl: Krieger Pub. Co., 1992.

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39

Polyhedral and semidefinite programming methods in combinatorial optimization. Providence, R.I: American Mathematical Society, 2010.

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40

Bazaraa, M. S. Nonlinear Programming. New York: John Wiley & Sons, Ltd., 2006.

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41

D, Jones. Practical goal programming. New York: Springer, 2010.

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42

Mathematics for programming computers. 3rd ed. Englewood Cliffs, N.J: Prentice Hall, 1988.

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43

Mathematical programming applications. New York: Macmillan, 1987.

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44

Foundations of bilevel programming. Dordrecht: Kluwer Academic, 2002.

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45

SAS Programming. London: Taylor and Francis, 2003.

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46

Gould, N. I. M. Numerical methods for large-scale non-convex quadratic programming. Chilton: Rutherford Appleton Laboratory, 2001.

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47

den Hertog, D. Interior Point Approach to Linear, Quadratic and Convex Programming. Dordrecht: Springer Netherlands, 1994. http://dx.doi.org/10.1007/978-94-011-1134-8.

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48

Introduction to mathematical programming. Upper Saddle River, N.J: Prentice Hall, 1999.

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49

Introduction to mathematical programming. Boston, MA: Pearson, 2013.

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50

Stable parametric programming. Dordrecht, The Netherlands: Kluwer Academic Publishers, 2001.

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