Add to ORKGPerformance optimization is vital in the design and operation of modern engineering systems. This book provides a unified framework based on a sensitivity point of view. It introduces new approaches and proposes new research topics
The interplay between optimization and machine learning is one of the most important developments in...
International audienceThis book is a new contribution aiming to give some last research findings in ...
International audienceBesides the conventional and established applications of sensitivity analysis ...
We introduce a sensitivity-based view to the area of learning and optimization of stochastic dynamic...
Learning and optimization of stochastic systems is a multi-disciplinary area that attracts wide atte...
This book addresses stochastic optimization procedures in a broad manner. The first part offers an o...
Stochastic optimization refers to a collection of methods for minimizing or maximizing an objective ...
The tools of sensitivity analyses are old, well known, and used in diverse engineering and non-engin...
Optimization problems arising in practice involve random model parameters. This book features many i...
The aim of the talk is to discuss the role of stochastic optimization techniques in designing learni...
Design problems that involve the system reliability as the objective function are discussed. In orde...
This book is about optimization techniques and is subdivided into two parts. In the first part a wid...
Written by an international group of active researchers in the field, this volume presents innovativ...
This book covers state-of-the-art optimization methods and their applications in wide range especial...
Thesis (Ph.D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer ...
The interplay between optimization and machine learning is one of the most important developments in...
International audienceThis book is a new contribution aiming to give some last research findings in ...
International audienceBesides the conventional and established applications of sensitivity analysis ...
We introduce a sensitivity-based view to the area of learning and optimization of stochastic dynamic...
Learning and optimization of stochastic systems is a multi-disciplinary area that attracts wide atte...
This book addresses stochastic optimization procedures in a broad manner. The first part offers an o...
Stochastic optimization refers to a collection of methods for minimizing or maximizing an objective ...
The tools of sensitivity analyses are old, well known, and used in diverse engineering and non-engin...
Optimization problems arising in practice involve random model parameters. This book features many i...
The aim of the talk is to discuss the role of stochastic optimization techniques in designing learni...
Design problems that involve the system reliability as the objective function are discussed. In orde...
This book is about optimization techniques and is subdivided into two parts. In the first part a wid...
Written by an international group of active researchers in the field, this volume presents innovativ...
This book covers state-of-the-art optimization methods and their applications in wide range especial...
Thesis (Ph.D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer ...
The interplay between optimization and machine learning is one of the most important developments in...
International audienceThis book is a new contribution aiming to give some last research findings in ...
International audienceBesides the conventional and established applications of sensitivity analysis ...