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Can I read Variable Metric Methods for Unconstrained Optimization and Nonlinear Least Squares on EtoBox?
Variable Metric Methods for Unconstrained Optimization and Nonlinear Least Squares by Ladislav Lukšan; Emilio Spedicato is a Mathematics article available to read on EtoBox.
What is Variable Metric Methods for Unconstrained Optimization and Nonlinear Least Squares about?
Variable metric or quasi-Newton methods are well known and commonly used in connection with unconstrained optimization, since they have good theoretical and practical convergence properties. Although these methods were originally developed for small-and moderate-size dense problems, their modiÿcations based either on sparse, partitioned or limited-memory updates are very e cient on large-scale sparse problems. Very signiÿcant applications of these methods also appear in nonlinear least-squares approximation and nonsmooth optimization. In this contribution, we give an extensive review of variable metric methods and their use in various optimization ÿelds.
Who reads Variable Metric Methods for Unconstrained Optimization and Nonlinear Least Squares?
It is typically read by researchers, students, and practitioners in Mathematics.
- Author
- Ladislav Lukšan; Emilio Spedicato
- Publisher
- Elsevier Science; Elsevier ; Elsevier BV (ISSN 0377-0427)
- Published
- 2000
- Language
- EN
- Field
- Mathematics (Physical Sciences)