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Joint Beamforming and Trajectory Optimization Algorithm for RSMA-UAV-Enabled Integrated Sensing and Communication System. [PDF]
Sensors (Basel)Wang S, Zhu Q.
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Mathematics of Operations Research, 1998
We study convex optimization problems for which the data is not specified exactly and it is only known to belong to a given uncertainty set U, yet the constraints must hold for all possible values of the data from U. The ensuing optimization problem is called robust optimization. In this paper we lay the foundation of robust convex optimization.
Arkadi Nemirovski
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We study convex optimization problems for which the data is not specified exactly and it is only known to belong to a given uncertainty set U, yet the constraints must hold for all possible values of the data from U. The ensuing optimization problem is called robust optimization. In this paper we lay the foundation of robust convex optimization.
Arkadi Nemirovski
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An online convex optimization-based framework for convex bilevel optimization
Mathematical Programming, 2022zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Lingqing Shen +2 more
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Convex programming for disjunctive convex optimization
Mathematical Programming, 1999zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Sebastián Ceria, João Soares
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Group-Sparse Signal Denoising: Non-Convex Regularization, Convex Optimization
IEEE Transactions on Signal Processing, 2014 —Convex optimization with sparsity-promoting con-vex regularization is a standard approach for estimating sparse signals in noise. In order to promote sparsity more strongly than convex regularization, it is also standard practice to employ non-convex ...
Ivan Selesnick, Po-Yu Chen
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Optimization Methods and Software, 2010
Convex optimization theory, by Dimitri P. Bertsekas, Athena Scientific, June 2009, 256 pp., $59.00 (hardcover), ISBN: 1-886529-31-0, 978-1-886529-31-1 The textbook, Convex Optimization Theory (Athe...
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Convex optimization theory, by Dimitri P. Bertsekas, Athena Scientific, June 2009, 256 pp., $59.00 (hardcover), ISBN: 1-886529-31-0, 978-1-886529-31-1 The textbook, Convex Optimization Theory (Athe...
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Convexity in Non-convex Optimizations of Streaming Applications
2012 IEEE 18th International Conference on Parallel and Distributed Systems, 2012Streaming data applications are frequently pipelined and deployed on application-specific systems to meet performance requirements and resource constraints. Typically, there are several design parameters in the algorithms and architectures used that impact the application performance as well as resource utilization. Efficient exploration of this design
Shobana Padmanabhan +2 more
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