Results 61 to 70 of about 41,274 (203)
Products of positive semidefinite matrices
The author proves that a matrix T is the product of finitely many nonnegative matrices if and only if det(T)\(\geq 0\) and in this case, five such matrices are sufficient.
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Measured‐State Conditioned Recursive Feasibility for Stochastic Model Predictive Control
ABSTRACT In this paper, we address the problem of designing stochastic model predictive control (SMPC) schemes for linear systems affected by unbounded disturbances. The contribution of the paper is rooted in a measured‐state initialization strategy. First, due to the nonzero probability of violating chance‐constraints in the case of unbounded noise ...
Mirko Fiacchini +2 more
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Bounds of the logarithmic mean [PDF]
We give tight bounds for logarithmic mean. We also give new Frobenius norm inequalities for two positive semidefinite matrices. In addition, we give some matrix inequalities on matrix power mean.Comment: The second assertion in (i) of Proposition 5.2 was
Furuichi, Shigeru, Yanagi, Kenjiro
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Binary Positive Semidefinite Matrices and Associated Integer Polytopes [PDF]
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Letchford, Adam N. +1 more
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The role of identification in data‐driven policy iteration: A system theoretic study
Abstract The goal of this article is to study fundamental mechanisms behind so‐called indirect and direct data‐driven control for unknown systems. Specifically, we consider policy iteration applied to the linear quadratic regulator problem. Two iterative procedures, where data collected from the system are repeatedly used to compute new estimates of ...
Bowen Song, Andrea Iannelli
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Separability of symmetric states and vandermonde decomposition
Symmetry is one of the central mysteries of quantum mechanics and plays an essential role in multipartite entanglement. In this paper, we consider the separability problem of quantum states in the symmetric space.
Lilong Qian, Lin Chen, Delin Chu
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Positive Semidefinite Metric Learning Using Boosting-like Algorithms [PDF]
The success of many machine learning and pattern recognition methods relies heavily upon the identification of an appropriate distance metric on the input data.
Hengel, Anton van den +3 more
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Abstract Alcohol policy liberalization is a contentious issue in the United States, including debates over whether grocery stores should be allowed to sell wine. This issue reflects a dilemma between accommodating consumer convenience, promoting wine industry growth, and generating tax revenue, versus concerns about potential harm to liquor stores ...
Jiayu Sun +3 more
wiley +1 more source
Semidefinite and sum-of-squares (SOS) optimization are fundamental computational tools in many areas, including linear and nonlinear systems theory. However, the scale of problems that can be addressed reliably and efficiently is still limited.
Papachristodoulou, Antonis +2 more
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Functions Operating on Positive Semidefinite Quaternionic Matrices
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