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On algorithms for non-convex optimization
2018Abstract: "A simple algorithm for the computation of local minima of non-convex problems in one dimension is proposed. This algorithm avoids certain well known local minima which are distant from the global minimum, and can be used to improve the minima obtained using classical descent methods. The calculated minima have mesh scale oscillations typical
Ma, Ling, Walkington, Noel
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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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An Optimal Algorithm for Online Non-Convex Learning
Abstracts of the 2018 ACM International Conference on Measurement and Modeling of Computer Systems, 2018In many online learning paradigms, convexity plays a central role in the derivation and analysis of online learning algorithms. The results, however, fail to be extended to the non-convex settings, which are necessitated by tons of recent applications.
Lin Yang 0013 +4 more
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Nonlinear non-convex optimization of hydraulic networks
2013 IEEE International Conference on Control Applications (CCA), 2013Pressure management in water supply systems is an effective way to reduce the leakage in a system. In this paper, the pressure management and the reduction of power consumption of a water supply system is formulated as an optimization problem. The problem is to minimize the power consumption in pumps and also to regulate the pressure at the end-user ...
Maryamsadat Tahavori +3 more
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Learning Convex Optimization Models
IEEE/CAA Journal of Automatica Sinica, 2021, Stephen Boyd, Akshay Agrawal
exaly
Exploiting Structure in Non-convex Quadratic Optimization
2019The amazing success of computational mathematical optimization over the last decades has been driven more by insights into mathematical structures than by the advance of computing technology. In this vein, we address applications, where nonconvexity in the model poses principal difficulties.
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Optimization of Convex Risk Functions
Mathematics of Operations Research, 2006Andrzej Ruszczynski, Alexander Shapiro
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Motion planning with sequential convex optimization and convex collision checking
International Journal of Robotics Research, 2014Ken Goldberg, Jia Pan, Sachin Patil
exaly