Constrained optimization is a challenging branch of operations research that aims to create a model which has a wide range of applications in the supply chain, telecommunications and medical fields. As the problem structure is split into two main components, the objective is to …
Peter B. Morgan's Explanation of Constrained Optimization for Economists is an accessible, user-friendly guide that provides explanations, both written and visual, of the manner in which many constrained optimization problems can be solved.
Peter B. Morgan's Explanation of Constrained Optimization for Economists is an accessible, user-friendly guide that provides explanations, both written and visual, of the manner in which many constrained optimization problems can be solved.
Peter B. Morgan's Explanation of Constrained Optimization for Economists is an accessible, user-friendly guide that provides explanations, both written and visual, of the manner in which many constrained optimization problems can be solved.
This book focuses on Augmented Lagrangian techniques for solving practical constrained optimization problems. The authors: rigorously delineate mathematical convergence theory based on sequential optimality conditions and novel constraint qualifications; orient the book to pract…
Nomenclature -- Introduction -- Practical motivations -- Optimality conditions -- Model augmented lagrangian algorithm -- Global minimization approach -- General affordable algorithms -- Boundedness of the penalty parameters -- Solving unconstrained subproblems -- Solving constr…
This book focuses on Augmented Lagrangian techniques for solving practical constrained optimization problems. The authors: rigorously delineate mathematical convergence theory based on sequential optimality conditions and novel constraint qualifications; orient the book to pract…
Optimization problems subject to constraints governed by partial differential equations (PDEs) are among the most challenging problems in the context of industrial, economical and medical applications. Almost the entire range of problems in this field of research was studied and…
Semismooth Newton methods are a modern class of remarkably powerful and versatile algorithms for solving constrained optimization problems with partial differential equations (PDEs), variational inequalities, and related problems. This book provides a comprehensive presentation …
Semismooth Newton methods are a modern class of remarkably powerful and versatile algorithms for solving constrained optimization problems with partial differential equations (PDEs), variational inequalities, and related problems. This book provides a comprehensive presentation …