Results 121 to 130 of about 55,084 (239)
Majorization relations for Hadamard products
Linear Algebra and its Applications, 1995 \textit{C. R. Johnson} and \textit{R. B. Bapat} [Linear Algebra Appl. 104, 246- 247 (1988)] have conjectured that: if \(A\) and \(B\) are \(n \times n\) positive definite matrices with Hadamard product \(A \circ B\) then, for each \(k \leq n\), the product of the \(k\) smallest of the eigenvalues of \(A \circ B\) is at least as great as the product of ...
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Optimal Portfolio Choice With Cross‐Impact Propagators
Mathematical Finance, EarlyView.ABSTRACT We consider a class of optimal portfolio choice problems in continuous time where the agent's transactions create both transient cross‐impact driven by a matrix‐valued Volterra propagator, as well as temporary price impact. We formulate this problem as the maximization of a revenue‐risk functional, where the agent also exploits available ...
Eduardo Abi Jaber +2 more
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Capital in Motion: Synthesizing the Circulation and Reproduction in a Multi‐Sector Growth Model
Metroeconomica, EarlyView.ABSTRACT This paper analyzes Capital in Motion (CIM) in a capitalist economy, based on Karl Marx's Capital, Volume 2. It examines the circuit of capital, distinguishing between stock and flow variables, and integrates a multi‐sector growth model that combines the circuit and turnover of capital with the reproduction scheme.
Takashi Satoh
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Narrower eigenbounds for Hadamard products
Linear Algebra and its Applications, 1997 The author considers the Hadamard product of two positive semidefinite matrices of order \(n\). An ``augmented'' Schur theorem is proved which yields a specific bound for each eigenvalue of the Hadamard product. The result improves the classical global bounds by \textit{I.
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Panel Sequential Group Estimation of Interactive Effects Models
Oxford Bulletin of Economics and Statistics, EarlyView.ABSTRACT This paper proposes a novel procedure to identify latent groups in the slopes of panel data models with interactive effects. The method is straightforward to apply and relies only on closed‐form estimators when evaluating the objective function.
Ignace De Vos, Joakim Westerlund
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Quantitative Biology, Volume 14, Issue 3, September 2026.Abstract Single‐cell multi‐omics sequencing technology provides a powerful tool for studying cellular heterogeneity. However, beyond the challenges of sparsity, heterogeneity, and dimensionality differences, a critical challenge in multi‐omics data integration lies in preserving the true regulatory relationships among molecular features.
Yucheng Lu, Xun Zhang, Hongwei Li
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NMR in Biomedicine, Volume 39, Issue 6, June 2026.We propose a novel deep learning algorithm for predicting the myelin water fraction from multiple gradient‐echo or spin‐echo pulse sequences arising in magnetic resonance relaxometry (MRR) measurements of the human brain. Our method incorporates both regularized nonlinear least squares and pure deep learning through a concatenation paradigm known as ...
Mirage Modi +7 more
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Approach for Damage‐Free Disassembly of Highly Stressed CFRP Structures
Proceedings in Applied Mathematics and Mechanics, Volume 26, Issue 2, June 2026.ABSTRACT In today's pursuit of sustainability, the aviation industry faces challenges in reusing materials and structural components made from carbon fiber‐reinforced polymer (CFRP). Conventional downcycling methods degrade CFRP's structural integrity by cutting load‐bearing fibers and embedding them in new matrices, reducing performance.
Janko Kreikemeier +3 more
wiley +1 more source
Strongly MφMψ -Convex Functions, The Hermite–Hadamard–Fejér Inequality and Related Results
Annales Mathematicae SilesianaeWe present Hermite–Hadamard–Fejér type inequalities for strongly MφMψ -convex functions. Some refinements of them and bounds for the integral mean of the product of two functions are also obtained.
Bombardelli Mea, Varošanec Sanja
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How Regulation and Global Standing Shape Stock Market Co‐Movements: A G20 Panel Study
International Review of Finance, Volume 26, Issue 2, June 2026.ABSTRACT Motivated by post‐2020 fragmentation and underexplored institutional‐geopolitical drivers, we examine how regulatory quality (RQ) and global power (GP) shape stock‐market co‐movements across 17 G20 economies. We estimate time‐varying correlations via ADCC‐GARCH, construct a scaled correlation index, and apply panel ARDL. We find that higher RQ
Sama Haddad +4 more
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