Newton-type methods for optimization and variational problems
Alexey F. Izmailov
Reading Time
at 250 WPM9h 33m
The average reader, reading at a speed of 250 WPM, would take 9h 33m to read Newton-type methods for optimization and variational problems.
Personalise your estimate by entering your reading speed below
Test my reading speedEnter speed in words per minute
20
days at 30 min/day
573
total minutes
Newton-type methods for optimization and variational problems
Published
2014
Publisher
Springer
Pages
573
ISBN-13
9783319042466
ISBN-10
3319042467
Description
This book presents comprehensive state-of-the-art theoretical analysis of the fundamental Newtonian and Newtonian-related approaches to solving optimization and variational problems. A central focus is the relationship between the basic Newton scheme for a given problem and algorithms that also enjoy fast local convergence. The authors develop general perturbed Newtonian frameworks that preserve fast convergence and consider specific algorithms as particular cases within those frameworks, i.e., as perturbations of the associated basic Newton iterations. This approach yields a set of tools for the unified treatment of various algorithms, including some not of the Newton type per se. Among the new subjects addressed is the class of degenerate problems. In particular, the phenomenon of attraction of Newton iterates to critical Lagrange multipliers and its consequences as well as stabilized Newton methods for variational problems and stabilized sequential quadratic programming for optimization. This volume will be useful to researchers and graduate students in the fields of optimization and variational analysis.--
Subjects
Calculus of Variations with Applications
Calculus of variations
Calculus of variations
Calculus of variations
Calculus of variations
Calculus of variations
Frequently Asked Questions
How many pages are in Newton-type methods for optimization and variational problems?
This edition of Newton-type methods for optimization and variational problems has approximately 573 pages. Please note, this is an estimate and the exact page count can vary between hardcover, paperback, and e-book versions.
How long does it take to read Newton-type methods for optimization and variational problems?
For most readers, Newton-type methods for optimization and variational problems typically takes between 11h 56m and 7h 58m to complete. This is based on the book's length of approximately 143,250 words and common reading speeds.
Here's a detailed breakdown: • Continuous reading at 250 WPM: approximately 9h 33m of focused reading • Casual reading (30 minutes/day): you could finish in roughly 20 days • Estimated word count: 143,250 words
Your individual reading time will vary based on your personal reading pace, the amount of daily reading time, and your familiarity with the subject matter.
What is the word count of Newton-type methods for optimization and variational problems?
The estimated word count for Newton-type methods for optimization and variational problems is approximately 143,250 words. This figure is calculated using industry-standard methods that consider genre-specific word density patterns, typical formatting and layout characteristics, and standard words-per-page ratios for published books.
This is an approximation — actual word count may vary based on font size, formatting, edition, and the presence of illustrations or charts.
Who is the author of Newton-type methods for optimization and variational problems?
Newton-type methods for optimization and variational problems was written by Alexey F. Izmailov.
When was Newton-type methods for optimization and variational problems published?
The publication date for this specific edition is 2014. The original work may have been published on a different date.