BOOK
Nondifferentiable Optimization
This volume is a collection of contributed papers that explore the solution of mathematical programming problems where the standard assumption of differentiability—the ability to calculate smooth derivatives—is dropped. Nondifferentiable optimization (also known as nonsmooth optimization) addresses problems involving functions with sharp "corners" or discontinuous derivatives, which cause classical calculus-based methods to fail. The book focuses on two main direct approaches: the Subgradient concept and the Bundle concept. It includes significant contributions such as Dimitri P. Bertsekas's work on nondifferentiable optimization via approximation and methods for minimizing sums of eigenvalues, making it a foundational text for researchers in operations research and applied mathematics.
No other version available