Algorithms for Continuous Optimization: The State of the Art Book

Preface. 1. General Optimality Conditions via a Separation Scheme; F. Giannessi. 2. Linear Equations in Optimization; C.G. Broyden. 3. Generalized and Sparse Least Squares Problems; Å. Björck. 4. Algorithms for Solving Nonlinear Systems of Equations; J.M. Martínez. 5. An Overview of Unconstrained Optimization; R. Fletcher. 6. Nonquadratic Model Methods in Unconstrained Optimization; Naiyang Deng, Zhengfeng Li. 7. Algorithms for General Constrained Nonlinear Optimization; M.C. Bartholomew-Biggs. 8. Exact Penalty Methods; G. Di Pillo. 9. Stable Barrier-Projection and Barrier-Newton Methods for Linear and Nonlinear Programming; Y.G. Evtushenko, V.G. Zhadan. 10. Large-Scale Nonlinear Constrained Optimization: a Current Survey; A.R. Conn, N. Gould, P.L. Toint. 11. ABS Methods for Nonlinear Optimization; E. Spedicato, Zunquan Xia. 12. A Condensed Introduction to Bundle Methods in Nonsmooth Optimization; C. Lemaréchal, J. Zowe. 13. Computational Methods for Linear Programming; D.F. Shanno. 14. Infeasible Interior Point Methods for Solving Linear Programs; J. Stoer. 15. Algorithms for Linear Complementarity Problems; J.J. Júdice. 16. A Homework Exercise — the 'Big M' Problem; R.W.H. Sargent. 17. Deterministic Global Optimization; Y.G. Evtushenko, M.A. Potapov. 18. On Automatic Differentiation and Continuous Optimization; L.C.W. Dixon. 19. Neural Networks and Unconstrained Optimization; L.C.W. Dixon. 20. Parallel Nonlinear Optimization: Limitations, Challenges and Opportunities; R.B. Schnabel. 21. Index.