Results 11 to 20 of about 644,751 (309)
Exponential Inequalities for Positive Linear Mappings [PDF]
Journal of Function Spaces, 2018 In this article, we present exponential-type inequalities for positive linear mappings and Hilbert space operators, by means of convexity and the Mond-Pečarić method. The obtained results refine and generalize some known results. As an application, we present extensions for operator-like geometric and harmonic means inequalities.
Mohammad Sababheh +2 more
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Food Allergens of Plant Origin
Foods, 2023 This review presents an update on the physical, chemical, and biological properties of food allergens in plant sources, focusing on the few protein families that contribute to multiple food allergens from different species and protein families recently ...
Yuzhu Zhang +3 more
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Tracial Positive Linear Maps of C ∗ -Algebras [PDF]
Proceedings of the American Mathematical Society, 1983 A positive linear map Φ : A → B \Phi :\mathfrak {A} \to \mathfrak {B} between two C ∗ {C^ * } -algebras is said to be tracial if Φ ( A 1
Choi, Man-Duen, Tsui, Sze-Kai
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Non-linear monotone positive maps
Journal of Operator Theory, 2021 e study several classes of general non-linear positive maps between C∗-algebras, which are not necessary completely positive maps. We characterize the class of the compositions of ∗-multiplicative maps and positive linear maps as the class of non-linear maps of boundedly positive type abstractly.
Nagisa, Masaru, Watatani, Yasuo
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Compositions and tensor products of linear maps between matrix algebras [PDF]
Linear Algebra and its Applications, 2022 . In this semi-expository paper, we first explain key notions from current quantum information theory and criteria for them in a coherent way. These include separability/entanglement, Schmidt numbers of bi-partite states and block-positivity, together ...
Seung-Hyeok Kye
semanticscholar +1 more source
Gradient Descent with Identity Initialization Efficiently Learns Positive-Definite Linear Transformations by Deep Residual Networks [PDF]
Neural Computation, 2018 We analyze algorithms for approximating a function f(x)=Φx mapping ℜd to ℜd using deep linear neural networks, that is, that learn a function h parameterized by matrices Θ1,…,ΘL and defined by h(x)=ΘLΘL-1…Θ1x.
P. Bartlett, D. Helmbold, Philip M. Long
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BMC Genomics, 2020 Background Graph-based reference genomes have become popular as they allow read mapping and follow-up analyses in settings where the exact haplotypes underlying a high-throughput sequencing experiment are not precisely known.
Ivar Grytten +3 more
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وجود الحلول الموجبة لمسائل القیم الحدودیة لمعادلة تفاضلیة لاخطیة من الرتب الکسریة [PDF]
مجلة التربية والعلم, 2020 Recently boundary value problems for differential equations of non-integral order have studied in many papers ( see [1,2] ). Zaho etal [ 1 ] studied the following boundary value problem of fractional differential equations.
Noora Omar Aga
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Computational and Structural Biotechnology Journal, 2023 Although multi-parent populations (MPPs) integrate the advantages of linkage and association mapping populations in the genetic dissection of complex traits and especially combine genetic analysis with crop breeding, it is difficult to detect small ...
Guo Li +3 more
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On the positive linear set valued maps [PDF]
Miskolc Mathematical Notes, 2013 In this paper positive linear set valued maps defined on the cone are studied. The representation theorem for positive linear set valued maps is given and Lipschitz continuity of these maps is proved. The estimations of upper and lower norms of the positive linear set valued maps are obtained.
Huseyin, Anar, Huseyin, Nesir
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