Results 61 to 70 of about 33,460 (204)
SDP Relaxation Methods for RSS/AOA-Based Localization in Sensor Networks
IEEE Access, 2020 With the fast development of new array technology and intelligent antenna, it is easier to obtain angle of arrival (AOA) measurements. Hybrid received signal strength (RSS) and AOA measurement techniques are proposed for the position computing in sensor ...
Hengnian Qi, Lufeng Mo, Xiaoping Wu
doaj +1 more source
Ethnic Conflicts, Civil War, and Economic Growth: Region‐Level Evidence From Former Yugoslavia
Journal of Regional Science, EarlyView.ABSTRACT This paper studies the long‐term effects of the Yugoslav civil war (1987–1995) on subnational economic growth across 78 regions in five former Yugoslav republics from 1950 to 2015. We construct counterfactual growth trajectories using a robust region‐level donor pool from 32 conflict‐free countries.
Aleksandar Kešeljević +2 more
wiley +1 more source
Journal of MathematicsRecently, there has been significant interest in filter methods for solving nonlinear problems. Extensions of these methods to nonlinear semidefinite programming (NLSDP) problems are described.
Dandan Li, Songhua Wang
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Markov Determinantal Point Process for Dynamic Random Sets
Journal of Time Series Analysis, EarlyView.ABSTRACT The Law of Determinantal Point Process (LDPP) is a flexible parametric family of distributions over random sets defined on a finite state space, or equivalently over multivariate binary variables. The aim of this paper is to introduce Markov processes of random sets within the LDPP framework. We show that, when the pairwise distribution of two
Christian Gouriéroux, Yang Lu
wiley +1 more source
Quantum algorithms for conformal bootstrap
Nuclear Physics B, 2019 With the help of recent developments in quantum algorithms for semidefinite programming, we discuss the possibility for quantum speedup for the numerical conformal bootstrap in conformal field theory.
Ning Bao, Junyu Liu
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Spatial Image Gradient Estimation From the Diffusion MRI Profile
Magnetic Resonance in Medicine, Volume 95, Issue 5, Page 2980-2991, May 2026.ABSTRACT Purpose In the course of diffusion, water molecules encounter varying values for the relaxation‐time properties of the underlying tissue. This factor, which has rarely been accounted for in diffusion MRI (dMRI), is modeled in this work, allowing for the estimation of the gradient of relaxation‐time properties from the dMRI signal. Methods With
Iman Aganj +4 more
wiley +1 more source
RisksWe devise two algorithms for approximating solutions of PSDisation, a problem in actuarial science and finance, to find the nearest valid correlation matrix that is positive semidefinite (PSD).
Vali Asimit +3 more
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Mokslas: Lietuvos Ateitis, 2015 Semidefinite Programming (SDP) is a fairly recent way of solving optimization problems which are becoming more and more important in our fast moving world. It is a minimization of linear function over the intersection of the cone of positive semidefinite
Rasa Giniūnaitė
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Online Local Learning via Semidefinite Programming
, 2014 In many online learning problems we are interested in predicting local information about some universe of items. For example, we may want to know whether two items are in the same cluster rather than computing an assignment of items to clusters; we may ...
Blum A., Hazan E., Kulis Brian, Niu Gang
core +1 more source
Data‐Based Refinement of Parametric Uncertainty Descriptions
International Journal of Robust and Nonlinear Control, Volume 36, Issue 6, Page 3210-3228, April 2026.ABSTRACT We consider dynamical systems with a linear fractional representation involving parametric uncertainties which are either constant or varying with time. Given a finite‐horizon input‐state or input‐output trajectory of such a system, we propose a numerical scheme which iteratively improves the available knowledge about the involved constant ...
Tobias Holicki, Carsten W. Scherer
wiley +1 more source