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Alexander J. Zaslavski978-3-319-30921-72016 Edition 1- Examines approximate solutions of optimization problems in the presence of computational errors
- Reinforces basic principles with an introductory chapter
- Analyzes the gradient projection algorithm for minimization of convex and smooth functions
- Includes supplementary material: sn.pub/extras
€180 €16210% OFF