Large-Scale Nonlinear Optimization
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Beschreibung
Large-Scale Nonlinear Optimization reviews and discusses recent advances in the development of methods and algorithms for nonlinear optimization and its applications, focusing on the large-dimensional case, the current forefront of much research.
The chapters of the book, authored by some of the most active and well-known researchers in nonlinear optimization, give an updated overview of the field from different and complementary standpoints, including theoretical analysis, algorithmic development, implementation issues and applications.
Audience
This book is intended for researchers in applied mathematics, advanced engineering, and computer science; it is also recommended for further reading within graduate studies, postgraduate and doctoral programs.
Large-Scale Nonlinear Optimization reviews and discusses recent advances in the development of methods and algorithms for nonlinear optimization and its applications, focusing on the large-dimensional case, the current forefront of much research.
The chapters of the book, authored by some of the most active and well-known researchers in nonlinear optimization, give an updated overview of the field from different and complementary standpoints, including theoretical analysis, algorithmic development, implementation issues and applications.
Discusses the most recent advances in the development of methods and algorithms for large-scale nonlinear optimization and its applications Includes supplementary material: sn.pub/extras
Autor*in
Gianni Pillo
Themen in »Large-Scale Nonlinear Optimization«
Analysis algorithms linear algebra linear optimization nonlinear optimization numerical methods optimization quadratic programming