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 th
Multiscale optimization methods and applications
β Scribed by Hager W.W., Huang S.-J., Pardalos P.M., Prokopyev O.A. (eds.)
- Publisher
- Springer
- Year
- 2006
- Tongue
- English
- Leaves
- 426
- Series
- Nonconvex Optimization and Its Applications 082
- Category
- Library
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<p><P>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 towa
<p><P>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 towa
<p><span>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 t
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