TY  - GEN
AU  - Hansson, Anders
AU  - Andersen, Martin
TI  - Optimization for learning and control
SN  - 9781119809135
U1  - 004.10151 
PY  - 2023///
CY  - Hoboken
PB  - John Wiley
KW  - System analysis -- Mathematics
KW  - Mathematical optimization
KW  - Machine learning -- Mathematics
KW  - Signal processing -- Mathematics
KW  - MATLAB
N2  - Optimization for Learning and Control describes how optimization is used in these domains, giving a thorough introduction to both unsupervised learning, supervised learning, and reinforcement learning, with an emphasis on optimization methods for large-scale learning and control problems.

Several applications areas are also discussed, including signal processing, system identification, optimal control, and machine learning.

Today, most of the material on the optimization aspects of deep learning that is accessible for students at a Masters’ level is focused on surface-level computer programming; deeper knowledge about the optimization methods and the trade-offs that are behind these methods is not provided. The objective of this book is to make this scattered knowledge, currently mainly available in publications in academic journals, accessible for Masters’ students in a coherent way. The focus is on basic algorithmic principles and trade-offs.
ER  -