1# Library to Find Best eBook for Read
Author : Harshal Avinash Mungikar
Release : 2011
Genre : Robust optimization
Kind : eBook
Book Rating : /5 ( reviews)
Book Synopsis Applications of Robust Linear and Nonlinear Optimization in Engineering Design by : Harshal Avinash Mungikar
Download or read book Applications of Robust Linear and Nonlinear Optimization in Engineering Design written by Harshal Avinash Mungikar. This book was released on 2011. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Tamas Terlaky
Release : 2017-04-26
Genre : Mathematics
Kind : eBook
Book Rating : 674/5 ( reviews)
Book Synopsis Advances and Trends in Optimization with Engineering Applications by : Tamas Terlaky
Download or read book Advances and Trends in Optimization with Engineering Applications written by Tamas Terlaky. This book was released on 2017-04-26. Available in PDF, EPUB and Kindle. Book excerpt: Optimization is of critical importance in engineering. Engineers constantly strive for the best possible solutions, the most economical use of limited resources, and the greatest efficiency. As system complexity increases, these goals mandate the use of state-of-the-art optimization techniques. In recent years, the theory and methodology of optimization have seen revolutionary improvements. Moreover, the exponential growth in computational power, along with the availability of multicore computing with virtually unlimited memory and storage capacity, has fundamentally changed what engineers can do to optimize their designs. This is a two-way process: engineers benefit from developments in optimization methodology, and challenging new classes of optimization problems arise from novel engineering applications. Advances and Trends in Optimization with Engineering Applications reviews 10 major areas of optimization and related engineering applications, providing a broad summary of state-of-the-art optimization techniques most important to engineering practice. Each part provides a clear overview of a specific area and discusses a range of real-world problems. The book provides a solid foundation for engineers and mathematical optimizers alike who want to understand the importance of optimization methods to engineering and the capabilities of these methods.
Author : Tamas Terlaky
Release : 2017-04-26
Genre : Mathematics
Kind : eBook
Book Rating : 682/5 ( reviews)
Book Synopsis Advances and Trends in Optimization with Engineering Applications by : Tamas Terlaky
Download or read book Advances and Trends in Optimization with Engineering Applications written by Tamas Terlaky. This book was released on 2017-04-26. Available in PDF, EPUB and Kindle. Book excerpt: Optimization is of critical importance in engineering. Engineers constantly strive for the best possible solutions, the most economical use of limited resources, and the greatest efficiency. As system complexity increases, these goals mandate the use of state-of-the-art optimization techniques. In recent years, the theory and methodology of optimization have seen revolutionary improvements. Moreover, the exponential growth in computational power, along with the availability of multicore computing with virtually unlimited memory and storage capacity, has fundamentally changed what engineers can do to optimize their designs. This is a two-way process: engineers benefit from developments in optimization methodology, and challenging new classes of optimization problems arise from novel engineering applications. Advances and Trends in Optimization with Engineering Applications reviews 10 major areas of optimization and related engineering applications, providing a broad summary of state-of-the-art optimization techniques most important to engineering practice. Each part provides a clear overview of a specific area and discusses a range of real-world problems. The book provides a solid foundation for engineers and mathematical optimizers alike who want to understand the importance of optimization methods to engineering and the capabilities of these methods.
Author : Michael Bartholomew-Biggs
Release : 2008-12-16
Genre : Mathematics
Kind : eBook
Book Rating : 232/5 ( reviews)
Book Synopsis Nonlinear Optimization with Engineering Applications by : Michael Bartholomew-Biggs
Download or read book Nonlinear Optimization with Engineering Applications written by Michael Bartholomew-Biggs. This book was released on 2008-12-16. Available in PDF, EPUB and Kindle. Book excerpt: This textbook examines a broad range of problems in science and engineering, describing key numerical methods applied to real life. The case studies presented are in such areas as data fitting, vehicle route planning and optimal control, scheduling and resource allocation, sensitivity calculations and worst-case analysis. Chapters are self-contained with exercises provided at the end of most sections. Nonlinear Optimization with Engineering Applications is ideal for self-study and classroom use in engineering courses at the senior undergraduate or graduate level. The book will also appeal to postdocs and advanced researchers interested in the development and use of optimization algorithms.
Author : Igor Griva
Release : 2009-01-01
Genre : Mathematics
Kind : eBook
Book Rating : 736/5 ( reviews)
Book Synopsis Linear and Nonlinear Optimization by : Igor Griva
Download or read book Linear and Nonlinear Optimization written by Igor Griva. This book was released on 2009-01-01. Available in PDF, EPUB and Kindle. Book excerpt: Provides an introduction to the applications, theory, and algorithms of linear and nonlinear optimization. The emphasis is on practical aspects - discussing modern algorithms, as well as the influence of theory on the interpretation of solutions or on the design of software. The book includes several examples of realistic optimization models that address important applications. The succinct style of this second edition is punctuated with numerous real-life examples and exercises, and the authors include accessible explanations of topics that are not often mentioned in textbooks, such as duality in nonlinear optimization, primal-dual methods for nonlinear optimization, filter methods, and applications such as support-vector machines. The book is designed to be flexible. It has a modular structure, and uses consistent notation and terminology throughout. It can be used in many different ways, in many different courses, and at many different levels of sophistication.
