Decision sciences: theory and practice

Content: 1. Convex functions in optimization / Joydeep Dutta --
2. Introduction to game theory / Aditya K. Jagannatham and Vimal Kumar --
3. Multi-objective optimization / Kalyanmoy Deb, Karthik Sindhya, and Jussi Hakanen --
4. Hybridizing MOEAs with mathematical-programming techniques / Saúl Zapotecas-Martínez, Adriana Lara, and Carlos A. Coello Coello --
5. Other decision-making models / Raghu Nandan Sengupta --
6. Queueing theory / Ülkü Gürler and Emre Berk --
7. Inventory theory / Emre Berk and Ülkü Gürler --
8. Statistical methods / Raghu Nandan Sengupta and Debasis Kundu --
9. Univariate time-series analysis and forecasting : theory and practice / R. Krishnan --
10. Univariate Volatility modeling : theory and practice / R. Krishnan --
11. Metaheuristic techniques / Sunith Bandaru and Kalyanmoy Deb --
12. Neural networks / Amit Bhaya --
13. Simulation modeling and analysis / Aparna Gupta --
14. Web-enabled decision-support systems / Deepu Philip, Dmitri G. Markovitch, and Lois S. Peters --
15. Algorithms and their design / Surya Prakash, Phalguni Gupta, and Raghunath Tewari --
16. Data envelopment analysis : an overview / Subhash C. Ray.