This book aims at an innovative approach within the framework of convex analysis and optimization, based on an in-depth study of the behavior and properties of the supremum of families of convex functions.

This work also contains open problems which readers will find intriguing a challenging.

Organized into two parts, this book may be used as a primary text for courses on convex optimization and non-convex optimization. Definitions, proofs, and numerical methods are well illustrated and all chapters contain compelling exercises.

Graduate students and researchers wishing to gain a deeper understanding of the main ideas behind the theory of linear optimization will find this book to be an essential text.

Por su contenido y características, este libro cubre la totalidad de los temas incluidos en los diversos planes y programas de la asignatura de Mecánica de Materiales de diferentes universidades e intitutos tecnológicos, lo que le ...

This paper analyzes a large database provided by INFONAVIT, Mexico's principal mortgage issuer, which contains information on borrowers' repayment behavior.