Numerical optimization with applications

Chandra, Suresh

Numerical optimization with applications by Suresh Chandra, Jayadeva and Aparna Mehra. - New Delhi : Narosa, ©2022 - xiii, 694 p. : ill. ; 25 cm.

Includes bibliographical references and index.

1. Introduction 2. Linear programming 3. Mathematics of the simplex method 4. Duality in linear programming 5. The transformation and assignment problems 6. Integer linear programming 7. Convex optimization and quadratic programming 8. Optimality conditions and duality in nonlinear programming 9. Unconstrained optimization problems 10. Algorithms in nonlinear programming 11. Computational complexity and Karmarkar's Algorithm for Linear Programming 12. Some generalized convex functions and fractional programming 13. Multi-objective optimization: theory and methods 14. Semi-definite programming 15. Evolutionary methods and global optimization 16. Mathematical programming applications in machine learning 17. Mathematical programming applications in financial mathematics 18. Mathematical programming applications in engineering 19. Mathlab codes for some selected algorithms.

9788173198540


Numerical optimization

519.3 / CHA-N
© 2024 IIIT-Delhi, library@iiitd.ac.in