Results 41 to 50 of about 6,028,400 (221)
Multipath Exploitation with Time Reversal Waveform Covariance Matrix for SNR Maximization
Remote Sensing, 2020 Radar target detection has a wide range of applications in the military and civilian remote sensing fields; in particular, the target detection in multipath environments has attracted many scholars’ attention in recent years.
Chao Xiong, Chongyi Fan, Xiaotao Huang
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Exposed faces of semidefinitely representable sets
, 2009 A linear matrix inequality (LMI) is a condition stating that a symmetric matrix whose entries are affine linear combinations of variables is positive semidefinite.
Netzer, Tim +2 more
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k-Point semidefinite programming bounds for equiangular lines [PDF]
Mathematical programming, 2018 We propose a hierarchy of k-point bounds extending the Delsarte–Goethals–Seidel linear programming 2-point bound and the Bachoc–Vallentin semidefinite programming 3-point bound for spherical codes.
David de Laat +3 more
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Semidefinite Programming Algorithms for 3-D AOA-Based Hybrid Localization
IEEE Open Journal of Signal Processing, 2023 By taking different kinds of measurements at the same time, it may be possible to improve the accuracy of target localization or reduce the number of sensors needed.
Yanbin Zou
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Strong Duality for Semidefinite Programming [PDF]
SIAM Journal on Optimization, 1997 Summary: It is well known that the duality theory for linear programming (LP) is powerful and elegant and lies behind algorithms such as simplex and interior-point methods. However, the standard Lagrangian for nonlinear programs requires constraint qualifications to avoid duality gaps.
Ramana, Motakuri V. +2 more
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Exploiting low-rank structure in semidefinite programming by approximate operator splitting [PDF]
Optimization, 2018 In contrast to many other convex optimization classes, state-of-the-art semidefinite programming solvers are still unable to efficiently solve large-scale instances.
Mario Souto +2 more
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MathematicsThis article proposes a novel robust invariance condition for uncertain linear discrete-time systems with state and control constraints, utilizing a method of semidefinite programming duality.
Hongli Yang +3 more
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Robust truss topology optimization via semidefinite programming with complementarity constraints: a difference-of-convex programming approach [PDF]
Computational optimization and applications, 2017 The robust truss topology optimization against the uncertain static external load can be formulated as mixed-integer semidefinite programming. Although a global optimal solution can be computed with a branch-and-bound method, it is very time-consuming ...
Y. Kanno
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Logarithmic Barrier Method Via Minorant Function for Linear Semidefinite Programming
Annales Mathematicae Silesianae, 2023 We propose in this study, a new logarithmic barrier approach to solve linear semidefinite programming problem. We are interested in computation of the direction by Newton’s method and of the displacement step using minorant functions instead of line ...
Leulmi Assma
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Self-consistent quantum measurement tomography based on semidefinite programming
Physical Review Research, 2023 We propose an estimation method for quantum measurement tomography (QMT) based on semidefinite programming (SDP) and discuss how it may be employed to detect experimental imperfections, such as shot noise and/or faulty preparation of the input states on ...
Marco Cattaneo +6 more
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