Books

Springer is publishing the series “Optimization and Its Applications” aims to publish state-of-the-art expository works (monographs, contributed volumes, textbooks) that focus on algorithms for solving optimization problems and also study applications involving such problems. Some of the topics covered include nonlinear optimization (convex and nonconvex), network flow problems, stochastic optimization, optimal control, discrete optimization, multi-objective programming, description of software packages, approximation techniques and heuristic approaches.

A list of the selected books is given below.

1.
Atkinson A, Bogacka B, Zhigljavsky A. Optimum Design 2000. Nonconvex Optimization and Its Applications. Springer; 2001.
2.
Audet C, Hansen P, Savard G. Essays and Surveys in Global Optimization. Springer; 2014.
3.
Bliek C, Jermann C, Neumaier A. Global Optimization and Constraint Satisfaction. Springer; 2003.
4.
Bruhn A, Pock T, Tai X-C. Efficient Algorithms for Global Optimization Methods in Computer Vision. Springer; 2014.
5.
Butenko S, Pardalos P M. Numerical Methods and Optimization. CRC Press; 2014.
6.
Demyanov V F, Pardalos P M, Batsyn M V. Constructive Nonsmooth Analysis and Related Topics. Springer; 2016.
7.
Fang S-C, Rajasekera JR, Tsao HSJ. Entropy Optimization and Mathematical Programming. Springer Science & Business Media; 1997.
8.
Fasano G, Pinter JD. Optimized Packings with Applications. Springer; 2016.
9.
Floudas C A. Deterministic Global Optimization. Springer; 2010.
10.
Floudas C A, Pardalos P M. A Collection of Test Problems for Constrained Global Optimization Algorithms. Springer Science & Business Media; 1990.
11.
Floudas C A, Pardalos P M. Handbook of Test Problems in Local and Global Optimization. Kluwer Academic Pub; 1999.
12.
Gao D Y, Sherali H D. Advances in Applied Mathematics and Global Optimization. Springer Science & Business Media; 2009.
13.
Marti R, Pardalos P, Resende M. Handbook of Heuristics. Springer; 2017.
14.
Nesterov Y. Introductory Lectures on Convex Optimization. Springer Science & Business Media; 2013.
15.
Pardalos P M, Coleman T Frederick. Lectures on Global Optimization. American Mathematical Soc.; 2009.
16.
Pardalos P M, Korotkikh V. Optimization and Industry: New Frontiers. Springer Science & Business Media; 2003.
17.
Pardalos PM, Nguyen VT, Horst R. Introduction to Global Optimization. Springer; 2008.
18.
Pardalos PM, Zhigljavsky A, Zhilinskas J. Advances in Stochastic and Deterministic Global Optimization. Springer; 2016.
19.
Pardalos PM, Zilinskas A. Non-Convex Multi-Objective Optimization. Springer; 2017.
20.
Paulavičius R, Žilinskas J. Simplicial Global Optimization. Springer; 2013.
21.
Pintér J. Global Optimization in Action. Springer Science & Business Media; 1996.
22.
Pronzato L, Wynn H P, Zhigljavsky A A. Dynamical Search. CRC Press; 1999.
23.
Pronzato L, Zhigljavsky A. Optimal Design and Related Areas in Optimization and Statistics. Springer; 2011.
24.
Sen M K, Stoffa P L. Global Optimization Methods in Geophysical Inversion. Cambridge University Press; 2013.
25.
Sergeyev Y D. Arithmetic of Infinity. Orizzonti Meridionali; 2003.
26.
Sergeyev Y D, Kvasov D E. Deterministic Global Optimization. Springer; 2017.
27.
Sergeyev Y D, Strongin R G, Lera D. Introduction to Global Optimization Exploiting Space-Filling Curves. Springer; 2013.
28.
Spedicato E Goiuseppe. Algorithms for Continuous Optimization. Springer Science & Business Media; 2012.
29.
Strongin RG, Sergeyev YD. Global Optimization with Non-Convex Constraints: Sequential And Parallel Algorithms. Springer; 2014.
30.
Tawarmalani M, Sahinidis N V. Convexification and Global Optimization in Continuous and Mixed-Integer Nonlinear Programming. Springer Science & Business Media; 2002.
31.
Tuy H. Convex Analysis and Global Optimization. Springer; 2016.
32.
Zhigljavsky A. Theory of Global Random Search. Springer; 1991.
33.
Zhigljavsky A, Zilinskas A. Stochastic Global Optimization. Springer; 2008.
34.
Zopounidis C, Pardalos P M. Handbook of Multicriteria Analysis. Springer; 2010.