Nonlinear programming : theory and algorithms

By:

Bazaraa, Mokhtar. S.; Shetty, C. M.,; Sherali, Hanif D

Material type: Text

TextPublication details: New Delhi Wiley India 2017Edition: 3rd EdDescription: xv, 853 pages : illustrations 25 cm; PbkISBN:

978-8126567881

Subject(s):

Nonlinear programming

DDC classification:

519.76 BAZ

Contents:

Convex sets -- Convex functions and generalizations -- The Fritz John and Karush-Kuhn-Tucker optimality conditions -- Constraint qualifications -- Lagrangian duality and saddle point optimality conditions -- The concept of an algorithm -- Unconstrained optimization -- Penalty and barrier functions -- Methods of feasible directions -- Linear complementary problem, and quadratic, separable, fractional, and geometric progr

Summary: The book is a solid reference for professionals as well as a useful text for students in the fields of operations research, management science, industrial engineering, applied mathematics, and also in engineering disciplines that deal with analytical optimization techniques. The logical and self-contained format uniquely covers nonlinear programming techniques with a great depth of information and an abundance of valuable examples and illustrations that showcase the most current advances in nonlinear problems.

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Holdings
Item type	Current library	Collection	Call number	Status	Date due	Barcode
Books	H.T. Parekh Library	GSB Collection	519.76 BAZ (Browse shelf(Opens below))	Available		B2574

Book well/1327/30-Jan-18/Rs.1245/-

Convex sets --
Convex functions and generalizations --
The Fritz John and Karush-Kuhn-Tucker optimality conditions --
Constraint qualifications --
Lagrangian duality and saddle point optimality conditions --
The concept of an algorithm --
Unconstrained optimization --
Penalty and barrier functions --
Methods of feasible directions --
Linear complementary problem, and quadratic, separable, fractional, and geometric progr

The book is a solid reference for professionals as well as a useful text for students in the fields of operations research, management science, industrial engineering, applied mathematics, and also in engineering disciplines that deal with analytical optimization techniques. The logical and self-contained format uniquely covers nonlinear programming techniques with a great depth of information and an abundance of valuable examples and illustrations that showcase the most current advances in nonlinear problems.

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