We give an introductory overview of the field of large-scale numerical optimization; some of the basic research issues and recent developments are described. Our emphasisis on methods, techniques, and practical concerns. We hope this article will be of interest to both users and students of numerical optimization
Computational optimization is an active and important area of study, practice, and research today. I...
In today’s digital world, improvements in acquisition and storage technology are allowing us to acqu...
In this book, theory of large scale optimization is introduced with case studies of real-world probl...
The recent explosion in size and complexity of datasets and the increased availability of computatio...
This work is a survey on the methods for large scale unconstrained optimization. Besides its own the...
Our work under this support broadly falls into five categories: automatic differentiation, sparsity,...
The Workshop aims to review and discuss recent advances in the development of methods and algorithms...
This volume provides resourceful thinking and insightful management solutions to the many challenges...
On February 15-17, 1993, a conference on Large Scale Optimization, hosted by the Center for Applied ...
Abstract. In recent years, much work has been done on imple-menting a variety of algorithms in nonli...
Numerical optimization is often an essential aspect of mathematical analysis in science, technology ...
Presenting the latest findings in the field of numerical analysis and optimization, this volume bala...
Three major sources of complexity in many real-world problems are size, variable interaction, and in...
Computational optimization is ubiquitous in many applications in engineering and industry. In this c...
In this article, we review methods for the solution of unconstrained optimization problems, where t...
Computational optimization is an active and important area of study, practice, and research today. I...
In today’s digital world, improvements in acquisition and storage technology are allowing us to acqu...
In this book, theory of large scale optimization is introduced with case studies of real-world probl...
The recent explosion in size and complexity of datasets and the increased availability of computatio...
This work is a survey on the methods for large scale unconstrained optimization. Besides its own the...
Our work under this support broadly falls into five categories: automatic differentiation, sparsity,...
The Workshop aims to review and discuss recent advances in the development of methods and algorithms...
This volume provides resourceful thinking and insightful management solutions to the many challenges...
On February 15-17, 1993, a conference on Large Scale Optimization, hosted by the Center for Applied ...
Abstract. In recent years, much work has been done on imple-menting a variety of algorithms in nonli...
Numerical optimization is often an essential aspect of mathematical analysis in science, technology ...
Presenting the latest findings in the field of numerical analysis and optimization, this volume bala...
Three major sources of complexity in many real-world problems are size, variable interaction, and in...
Computational optimization is ubiquitous in many applications in engineering and industry. In this c...
In this article, we review methods for the solution of unconstrained optimization problems, where t...
Computational optimization is an active and important area of study, practice, and research today. I...
In today’s digital world, improvements in acquisition and storage technology are allowing us to acqu...
In this book, theory of large scale optimization is introduced with case studies of real-world probl...