Results 71 to 80 of about 7,666,446 (331)
Efficient function approximation in enriched approximation spaces
IMA Journal of Numerical AnalysisAbstract An enriched approximation space is the span of a conventional basis with a few extra functions included, for example to capture known features of the solution to a computational problem. Adding functions to a basis makes it overcomplete and, consequently, the corresponding discretized approximation problem may require solving an
Herremans, Astrid, Huybrechs, Daan
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Approximation Space on Novel Granulations
Journal of the Egyptian Mathematical Society, 2012 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Allam, Ahmad A. +2 more
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Molecular Oncology, EarlyView.Combining PTEN protein assessment and transcriptomic profiling of prostate tumors, we uncovered a network enriched in senescence and extracellular matrix (ECM) programs associated with PTEN loss and conserved in a mouse model. We show that PTEN‐deficient cells trigger paracrine remodeling of the surrounding stroma and this information could help ...
Ivana Rondon‐Lorefice +16 more
wiley +1 more source
SoftwareX, 2016 Random Phase Approximation (RPA) is one of the main approximation tools in studying nuclear structure. Here, we present a graphical user interface (GUI) Fortran code: Particle–Particle Random Phase Approximation (PPRPA) version 1, 2015. The code performs
Ali H. Taqi
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Molecular Oncology, EarlyView.Nanosecond infrared laser (NIRL) low‐volume sampling combined with shotgun lipidomics uncovers distinct lipidome alterations in oropharyngeal squamous cell carcinoma (OPSCC) of the palatine tonsil. Several lipid species consistently differentiate tumor from healthy tissue, highlighting their potential as diagnostic markers.
Leonard Kerkhoff +11 more
wiley +1 more source
A New Approach to Near Approximation in Fuzzy Ideals of an MV-Algebras
Foundations of Computing and Decision SciencesThe rough set concept was originally proposed by Pawlak as a formal tool for modeling incompleteness and imprecision in information systems. Rough set theory is an extension of set theory in which a subset of a universe is described by a pair of sets ...
Jokar Fatemeh, Davvaz Bijan
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Asymptotic Solutions of the Phase Space Schrodinger Equation: Anisotropic Gaussian Approximation [PDF]
, 2014 We consider the singular semiclassical initial value problem for the phase space Schrodinger equation. We approximate semiclassical quantum evolution in phase space by analyzing initial states as superpositions of Gaussian wave packets and applying ...
Karageorge, Panos D., Makrakis, G.N.
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Nonlinear Methods for Model Reduction
, 2020 The usual approach to model reduction for parametric partial differential equations (PDEs) is to construct a linear space $V_n$ which approximates well the solution manifold $\mathcal{M}$ consisting of all solutions $u(y)$ with $y$ the vector of ...
Bonito, Andrea +5 more
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Tumour–host interactions in Drosophila: mechanisms in the tumour micro‐ and macroenvironment
Molecular Oncology, EarlyView.This review examines how tumour–host crosstalk takes place at multiple levels of biological organisation, from local cell competition and immune crosstalk to organism‐wide metabolic and physiological collapse. Here, we integrate findings from Drosophila melanogaster studies that reveal conserved mechanisms through which tumours hijack host systems to ...
José Teles‐Reis, Tor Erik Rusten
wiley +1 more source
New Generalization of -Best Simultaneous Approximation in Topological Vector Spaces
Abstract and Applied Analysis, 2013 Let be a nonempty subset of a Hausdorff topological vector space , and let be a real-valued continuous function on . If for each , there exists such that , then is called -simultaneously proximal and is called -best simultaneous approximation for ...
Mahmoud Rawashdeh, Sarah Khalil
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