Description: Optimization on Riemannian manifolds-the result of smooth geometry and optimization merging into one elegant modern framework-spans many areas of science and engineering, including machine learning, computer vision, signal processing, dynamical systems and scientific computing. This text introduces the differential geometry and Riemannian geometry concepts that will help students and researchers in applied mathematics, computer science and engineering gain a firm mathematical grounding to use these tools confidently in their research. Its charts-last approach will prove more intuitive from an optimizer's viewpoint, and all definitions and theorems are motivated to build time-tested optimization algorithms. Starting from first principles, the text goes on to cover current research on topics including worst-case complexity and geodesic convexity. Readers will appreciate the tricks of the trade for conducting research and for numerical implementations sprinkled throughout the book.
Price: 79.88 AUD
Location: Hillsdale, NSW
End Time: 2024-11-10T20:35:57.000Z
Shipping Cost: 31.97 AUD
Product Images
Item Specifics
Return shipping will be paid by: Buyer
Returns Accepted: Returns Accepted
Item must be returned within: 60 Days
Return policy details:
EAN: 9781009166157
UPC: 9781009166157
ISBN: 9781009166157
MPN: N/A
Format: Paperback, 400 pages
Author: Boumal, Nicolas
Item Height: 1.9 cm
Item Length: 25.4 cm
Item Weight: 0.33 kg
Item Width: 17.8 cm
Language: Eng
Publication Name: N/A
Publisher: CAMBRIDGE
Type: N/A
