Results 101 to 110 of about 49,764 (200)
Campbell Systematic Reviews, 2020 With increased use of multivariate meta‐analysis in numerous disciplines, where structural relationships among multiple variables are examined, researchers often encounter a particular challenge due to missing information.
Soyeon Ahn, John M. Abbamonte
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Efficient Output Kernel Learning for Multiple Tasks [PDF]
, 2015 The paradigm of multi-task learning is that one can achieve better generalization by learning tasks jointly and thus exploiting the similarity between the tasks rather than learning them independently of each other.
Hein, Matthias +3 more
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A connection between positive semidefinite and euclidean distance matrix completion problems
Linear Algebra and its Applications, 1998 The results obtained for positive semidefinite (PSD) and Euclidean distance (ED) matrix completion problems are very similar. Even though there is a strong relationship between the PSD matrices and ED matrices, it was not clear how to link the two completion problems.
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Toward Genuine Efficiency and Cluster Robustness of Preconditioned CG‐Like Eigensolvers
Numerical Linear Algebra with Applications, Volume 33, Issue 2, April 2026.ABSTRACT The locally optimal block preconditioned conjugate gradient (LOBPCG) method is a popular solver for large and sparse Hermitian eigenvalue problems. However, recently proposed alternatives for its single‐vector version LOPCG indicate certain problematic cases with less accurate preconditioners and clustered target eigenvalues.
Ming Zhou, Klaus Neymeyr
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Advanced p-numerical radius bounds through partitioned matrix methodologies
Results in Applied MathematicsThe present investigation develops novel upper limits for the p-numerical radius of linear transformations through sophisticated partitioned matrix methodologies.
Raja’a Al-Naimi
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A new generalization of two refined Young inequalities and applications
Moroccan Journal of Pure and Applied Analysis, 2020 In this paper, we prove that if a, b > 0 and 0 ≤ α ≤ 1, then for m = 1, 2, 3, . . . ,
Ighachane M. A., Akkouchi M.
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Moments of MGOU processes and positive semidefinite matrix processes
Journal of Multivariate Analysis, 2012 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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A Semidefinite Programming Approach for Harmonic Balance Method
IEEE Access, 2019 The harmonic balance method is broadly employed for analyzing and predicting the periodic steady-state solution. Most of the traditional methods in the literature do not guarantee global optimality. Due to its nonconvexity, it is a complex task to find a
Cheng H. Yang, Ben S. Deng
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Truncated K-moment problems in several variables [PDF]
, 2005 Let $\beta\equiv\beta^{(2n)}$ be an N-dimensional real multi-sequence of degree 2n, with associated moment matrix $\mathcal{M}(n)\equiv \mathcal{M}(n)(\beta)$, and let $r:=rank \mathcal{M}(n)$.
Curto, Raul E., Fialkow, Lawrence A.
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Solving rank-constrained semidefinite programs in exact arithmetic
, 2016 We consider the problem of minimizing a linear function over an affine section of the cone of positive semidefinite matrices, with the additional constraint that the feasible matrix has prescribed rank.
Anjos M. F. +6 more
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