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Multiscale Optimization Methods and Applications (English, William W. Hager | Shu-Jen Huang | Panos M. Pardalos)
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Specifications
| Publisher | Springer |
| Language | English |
| ISBN-13 | 9780387295497 |
| ISBN-10 | 0387295496 |
| Author | William W. Hager | Shu-Jen Huang | Panos M. Pardalos |
Product Description
About the Book
As optimization researchers tackle larger and larger problems, scale interactions play an increasingly important role. One general strategy for dealing with a large or difficult problem is to partition it into smaller ones, which are hopefully much easier to solve, and then work backwards towards the solution of original problem, using a solution from a previous level as a starting guess at the next level. This volume contains 22 chapters highlig…
ISBN: 9780387295497
Book Insights
What You'll Learn
- ·In-depth exploration of topics covered in Multiscale Optimization Methods and Applications
- ·Key concepts explained with clarity and practical examples
- ·Insights valuable for anyone studying or working in Springer
Who Should Read This
Advanced students, researchers, and domain experts seeking in-depth knowledge.
Key Highlights
- ·Brand new physical book delivered across India
- ·15-day hassle-free return policy
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Who is the author of Multiscale Optimization Methods and Applications?
Multiscale Optimization Methods and Applications is authored by William W. Hager | Shu-Jen Huang | Panos M. Pardalos.
Who published Multiscale Optimization Methods and Applications?
Multiscale Optimization Methods and Applications is published by Springer.
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Page count information for Multiscale Optimization Methods and Applications is available in the specifications section of this page.
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At an average reading speed of 250 words per minute, reading Multiscale Optimization Methods and Applications takes a few hours to a few days depending on reading pace.
What is Multiscale Optimization Methods and Applications about?
About the Book
As optimization researchers tackle larger and larger problems, scale interactions play an increasingly important role. One general strategy for dealing with a large or difficult problem is to partition it into smaller ones, which are hopefully much easier to solve, and then work bac...
Is Multiscale Optimization Methods and Applications suitable for beginners?
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