000			01583nam a22002297a 4500
003			IIITD
005			20240504103756.0
008			240410b xxu||||| |||| 00| 0 eng d
020			_a9788173198540
040			_aIIITD
082			_a519.3 _bCHA-N
100			_aChandra, Suresh
245			_aNumerical optimization with applications _cby Suresh Chandra, Jayadeva and Aparna Mehra.
260			_aNew Delhi : _bNarosa, _c©2022
300			_axiii, 694 p. : _bill. ; _c25 cm.
500			_aIncludes bibliographical references and index.
505			_t1. Introduction _t2. Linear programming _t3. Mathematics of the simplex method _t4. Duality in linear programming _t5. The transformation and assignment problems _t6. Integer linear programming _t7. Convex optimization and quadratic programming _t8. Optimality conditions and duality in nonlinear programming _t9. Unconstrained optimization problems _t10. Algorithms in nonlinear programming _t11. Computational complexity and Karmarkar's Algorithm for Linear Programming _t12. Some generalized convex functions and fractional programming _t13. Multi-objective optimization: theory and methods _t14. Semi-definite programming _t15. Evolutionary methods and global optimization _t16. Mathematical programming applications in machine learning _t17. Mathematical programming applications in financial mathematics _t18. Mathematical programming applications in engineering _t19. Mathlab codes for some selected algorithms.
650			_aNumerical optimization
700			_aJayadeva
700			_a Mehra, Aparna
942			_2ddc _cBK
999			_c172559 _d172559