The book introduces the key ideas behind practical nonlinear optimization. Computational finance - an increasingly popular area of mathematics degree programs - is combined here with the study of an important class of numerical techniques. The financial content of the book is designed to be relevant and interesting to specialists. However, this material - which occupies about one-third of the text - is also sufficiently accessible to allow the book to be used on optimization courses of a more general nature. The essentials of most currently popular algorithms are described, and their performa
As it stands today, the spectrum of methods, tools, and applications that populate the area of compu...
Both mathematical characteristics and computational aspects of dynamic optimization in finance have ...
Both mathematical characteristics and computational aspects of dynamic optimization in finance have ...
This book discusses the state-of-the-art and open problems in computational finance. It presents a c...
Computational optimization is an active and important area of study, practice, and research today. I...
This talk reviews some of the applications of mathematical programming in finance. Of course mathema...
Linear programming allows for the optimization of linear functions with several variables. Linear op...
This self-contained text provides a solid introduction to global and nonlinear optimization, providi...
This article reviews some of the applications of mathematical programming in finance. Of course math...
This textbook on nonlinear optimization focuses on model building, real world problems, and applicat...
This thesis discusses the theory of modern polynomial optimization and its applications in the fiel...
This book is intended as a text covering the central concepts of practical optimization techniques. ...
This book provides an insightful and modern treatment of combinatorial and algorithmic mathematics, ...
As it stands today, the spectrum of methods, tools, and applications that populate the area of compu...
As it stands today, the spectrum of methods, tools, and applications that populate the area of compu...
As it stands today, the spectrum of methods, tools, and applications that populate the area of compu...
Both mathematical characteristics and computational aspects of dynamic optimization in finance have ...
Both mathematical characteristics and computational aspects of dynamic optimization in finance have ...
This book discusses the state-of-the-art and open problems in computational finance. It presents a c...
Computational optimization is an active and important area of study, practice, and research today. I...
This talk reviews some of the applications of mathematical programming in finance. Of course mathema...
Linear programming allows for the optimization of linear functions with several variables. Linear op...
This self-contained text provides a solid introduction to global and nonlinear optimization, providi...
This article reviews some of the applications of mathematical programming in finance. Of course math...
This textbook on nonlinear optimization focuses on model building, real world problems, and applicat...
This thesis discusses the theory of modern polynomial optimization and its applications in the fiel...
This book is intended as a text covering the central concepts of practical optimization techniques. ...
This book provides an insightful and modern treatment of combinatorial and algorithmic mathematics, ...
As it stands today, the spectrum of methods, tools, and applications that populate the area of compu...
As it stands today, the spectrum of methods, tools, and applications that populate the area of compu...
As it stands today, the spectrum of methods, tools, and applications that populate the area of compu...
Both mathematical characteristics and computational aspects of dynamic optimization in finance have ...
Both mathematical characteristics and computational aspects of dynamic optimization in finance have ...