This is the first entry-level book on algorithmic (also known as automatic) differentiation (AD), providing fundamental rules for the generation of first- and higher-order tangent-linear and adjoint code. The author covers the mathematical underpinnings as well as how to apply t…
Presents an introduction to nonlinear programming, written for students from the fields of applied mathematics, engineering, and economy. This book deals with theoretical foundations as well assolution methods, beginning with the classical procedures and reaching up to "modern" …
This book is an introduction to nonlinear programming, written for students from the fields of applied mathematics, engineering, and economy. It deals with theoretical foundations as well assolution methods, beginning with the classical procedures and reaching up to "modern" met…
This book is an introduction to nonlinear programming, written for students from the fields of applied mathematics, engineering, and economy. It deals with theoretical foundations as well as solution methods, beginning with the classical procedures and reaching up to "modern" me…
Many engineering, operations, and scientific applications include a mixture of discrete and continuous decision variables and nonlinear relationships involving the decision variables that have a pronounced effect on the set of feasible and optimal solutions. Mixed-integer nonlin…
