Positive Maps and Separable Matrices
A linear map between real symmetric matrix spaces is positive if all positive semidefinite matrices are mapped to positive semidefinite ones. A real symmetric matrix is separable if it can be written as a summation of Kronecker products of positive ...
Nie, Jiawang, Zhang, Xinzhen
core +1 more source
Foreign labor, peer‐networking and agricultural efficiency in the Italian dairy sector
Abstract While the presence of immigrants in the agricultural sector is widely acknowledged, the empirical evidence on its economic consequences is lacking, especially from a microeconomic perspective. Using the Farm Accountancy Data Network panel data for Italian dairy farms in the period 2008–2018, the present study investigates the relationship ...
Federico Antonioli +2 more
wiley +1 more source
GBD and $ \mathcal{L} $-positive semidefinite elements in $ C^* $-algebras
This paper focused on the generalized Bott-Duffin (GBD) inverse and the $ {\rm GBD} $ elements in Banach algebra with involution and $ C^* $-algebra, as well as on the property of the $ p $-positive semidefinite elements that are a generalization of the $
Kezheng Zuo +2 more
doaj +1 more source
Using distance on the Riemannian manifold to compare representations in brain and in models
Representational similarity analysis (RSA) summarizes activity patterns for a set of experimental conditions into a matrix composed of pairwise comparisons between activity patterns.
Mahdiyar Shahbazi +3 more
doaj +1 more source
Optical Neuromorphic Technology Catalyzes the Next‐Generation Mobile Communication Technology
Advancements in optical computing could revolutionize next‐generation wireless communication. The review highlights the role of photonic integrated circuits in implementing neural network operations and discusses their benefits, such as high computational density.
Xiaoxiong Song +6 more
wiley +1 more source
Trace-Inequalities and Matrix-Convex Functions
A real-valued continuous function f(t) on an interval (α,β) gives rise to a map X↦f(X) via functional calculus from the convex set of n×n Hermitian matrices all of whose eigenvalues belong to the interval. Since the subpace of
Tsuyoshi Ando
doaj +2 more sources
Improving Genomic Prediction Using High-Dimensional Secondary Phenotypes: The Genetic Latent Factor Approach. [PDF]
ABSTRACT Decreasing costs and new technologies have led to an increase in the amount of data available to plant breeding programs. High‐throughput phenotyping (HTP) platforms routinely generate high‐dimensional datasets of secondary features that may be used to improve genomic prediction accuracy.
Melsen KAC +6 more
europepmc +2 more sources
Planning and Control Framework for a Quadruped Robot With Changeable Configuration
Multiconfiguration quadruped robots enhance adaptability by switching between mammal‐like and reptile‐like morphologies. This study presents a nonlinear constraint‐based motion planner integrated with a hierarchical whole‐body controller, enabling robust configuration switching and locomotion on complex terrains. Experiments on slopes, irregular bricks,
Guanglin Lu +5 more
wiley +1 more source
Alternating Least-Squares for Low-Rank Matrix Reconstruction [PDF]
For reconstruction of low-rank matrices from undersampled measurements, we develop an iterative algorithm based on least-squares estimation. While the algorithm can be used for any low-rank matrix, it is also capable of exploiting a-priori knowledge of ...
Chatterjee, Saikat +3 more
core +1 more source
Full‐order observer design for quadratic port‐controlled Hamiltonian systems
Abstract The full‐order observer design problem for a particular class of port‐controlled Hamiltonian systems is approached in this paper. The proposed full‐order observer scheme belongs to the structure preserving class of dynamic estimators as it preserves the natural stability properties of the approached class of systems that are useful for the ...
Michael Rojas +2 more
wiley +1 more source

