Results 71 to 80 of about 6,081 (225)

Cubical coloring — fractional covering by cuts and semidefinite programming [PDF]

open access: yesDiscrete Mathematics & Theoretical Computer Science, 2015
We introduce a new graph parameter that measures fractional covering of a graph by cuts. Besides being interesting in its own right, it is useful for study of homomorphisms and tension-continuous mappings.
Robert Šámal
doaj   +1 more source

Markov Determinantal Point Process for Dynamic Random Sets

open access: yesJournal of Time Series Analysis, Volume 47, Issue 4, Page 784-802, July 2026.
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

Efficient Positive Semidefinite Matrix Approximation by Iterative Optimisations and Gradient Descent Method

open access: yesRisks
We 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
doaj   +1 more source

Finite‐Time Disturbance Observer‐Based Nonlinear Robust Adaptive Control of Hydraulic Manipulator With Parameter Identification

open access: yesInternational Journal of Mechanical System Dynamics, Volume 6, Issue 2, Page 282-298, June 2026.
ABSTRACT Hydraulic manipulators exhibit strong coupling, pronounced nonlinearities, and significant modeling uncertainties, which hinder high‐precision motion control. This paper proposes a finite‐time disturbance observer–based nonlinear robust adaptive control (RAC‐FTDO) framework enhanced by a physically consistent dynamic parameter identification ...
Tianyu Gao   +3 more
wiley   +1 more source

Quantum algorithms for conformal bootstrap

open access: yesNuclear 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
doaj   +1 more source

Toward Quantum‐Inspired Traffic Engineering: Mathematical Models for Minimal‐Disturbance Network Monitoring

open access: yesAdvanced Quantum Technologies, Volume 9, Issue 6, June 2026.
Network monitoring is fundamental to effective traffic engineering (TE) in quantum networks and although nondestructive techniques such as weak measurement, quantum non‐demolition (QND) measurement, and protective measurement have been proposed, their roles in supporting TE have not been systematically examined. This paper proposes a unified analytical
Joachim Notcker   +4 more
wiley   +1 more source

Semidefinite Relaxation Method for Target Localization by MIMO Radar Using Bistatic Ranges

open access: yesInternational Journal of Distributed Sensor Networks, 2014
We address the target localization problem by using bistatic range (BR) measurements in widely separated multiple-input multiple-output (MIMO) radar network.
Bin Sun   +3 more
doaj   +1 more source

Application of semidefinite programming to truss design optimization / Santvaros optimizavimo uždavinių sprendimas taikant pusiau apibrėžtą programavimą

open access: yesMokslas: 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
doaj   +1 more source

Distributed Optimization of Finite Condition Number for Laplacian Matrix in Multi‐Agent Systems

open access: yesInternational Journal of Robust and Nonlinear Control, Volume 36, Issue 9, Page 5030-5043, June 2026.
ABSTRACT This paper addresses the distributed optimization of the finite condition number of the Laplacian matrix in multi‐agent systems. The finite condition number, defined as the ratio of the largest to the second smallest eigenvalue of the Laplacian matrix, plays an important role in determining the convergence rate and performance of consensus ...
Yicheng Xu, Faryar Jabbari
wiley   +1 more source

Ethnic Conflicts, Civil War, and Economic Growth: Region‐Level Evidence From Former Yugoslavia

open access: yesJournal of Regional Science, Volume 66, Issue 3, Page 950-977, June 2026.
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

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