Amir Beck is affiliated with Tel Aviv University in Israel and has made contributions primarily in the fields of Computer Science, Engineering, and Mathematics. Their research spans a range of subfields including Artificial Intelligence, Computational Mechanics, Numerical Analysis, Mathematical Physics, and Control and Systems Engineering.
The scientist's work covers several key topics, such as Sparse and Compressive Sensing Techniques, Advanced Optimization Algorithms Research, Stochastic Gradient Optimization Techniques, Numerical Methods in Inverse Problems, Optimization and Variational Analysis, Face and Expression Recognition, and Quantum Information and Cryptography.
Amir Beck has published multiple papers in notable venues. Selected recent publications include:
Frequent coauthors who have collaborated with Amir Beck include Nadav Hallak, Marc Teboulle, Raz Sharon, Giora Peniakov, and Zu-En Su.
The primary publication venues for Amir Beck's work feature the SIAM Journal on Optimization, Operations Research Letters, Journal of Optimization Theory and Applications, Physical review. B./Physical review. B, and Optimization Methods & Software.
In addition to journal papers, Amir Beck has contributed to academic books published by the Society for Industrial and Applied Mathematics. Titles include Introduction to Nonlinear Optimization: Theory, Algorithms, and Applications with Python and MATLAB, Second Edition (2023), and A First Course in Linear Optimization (2025).
Amir Beck;Marc Teboulle
A. Beck;M. Teboulle
Amir Beck
Amir Beck;Marc Teboulle
A. Beck;P. Stoica;Jian Li
Amir Beck;Luba Tetruashvili
Amir Beck;Aharon Ben-Tal;Luba Tetruashvili
Yoav Shechtman;Amir Beck;Yonina C. Eldar
Amir Beck;Marc Teboulle
Amir Beck;Yonina C. Eldar
Amir Beck;Marc Teboulle
Amir Beck;Yonina C. Eldar
Amir Beck;Marc Teboulle
Amir Beck
Amir Beck;Aharon Ben-Tal
Amir Beck;Angelia Nedic;Asuman Ozdaglar;Marc Teboulle
Amir Beck
Amir Beck;Marc Teboulle
Amir Beck;Marc Teboulle
Amir Beck;Aharon Ben-Tal
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