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Algorithms for Sparsity-Constrained Optimization - Springer Theses Sohail Bahmani Softcover reprint of the original 1st ed. 2014 edition
Algorithms for Sparsity-Constrained Optimization - Springer Theses
Sohail Bahmani
This thesis demonstrates techniques that provide faster and more accurate solutions to a variety of problems in machine learning and signal processing. The author proposes a "greedy" algorithm, deriving sparse solutions with guarantees of optimality.
128 pages, 1 black & white illustrations, 12 colour illustrations, 2 colour tables, biography
| Mediji | Grāmatas Paperback Book (Grāmata ar mīksto vāku un līmēto muguru) |
| Izlaists | 2016. gada 23. augusts |
| ISBN13 | 9783319377193 |
| Izdevēji | Springer International Publishing AG |
| Lapas | 107 |
| Izmēri | 155 × 235 × 7 mm · 195 g |
| Valoda | Vācu |