Results 141 to 150 of about 22,159,556 (179)
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Variational analysis of the Crouzeix ratio
Mathematical Programming, 2016Denote by \(\mathcal{M}^n\) the space of \(n\times n\) complex matrices, by \(\mathcal{P}_m\) the space of polynomials with complex coefficients of degree \(\leq m\), by \(\|\,\,.\,\,\|\) the vector or matrix \(2\)-norm, and for \(A\in \mathcal{M}^n\), by \(W(A)\) the numerical range of the matrix \(A\), where \[ W(A)=\{v^*Av\,:\,v\in\mathbb{C}^n,\,\,\|
Anne Greenbaum +2 more
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Variational Analysis of Nematic Shells
2018In this note we present some recent results on the Mathematical Analysis of Nematic Shells. The type of results we present deal with the analysis of defectless configurations as well as the analysis of defected configurations. The mathematical tools include Topology, Analysis of Partial Differential Equations as well as Variational Techniques like Γ ...
Canevari, G., Segatti, A.
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Canonical analysis of facial variation
Journal of Biosocial Science, 1972Although the face is one of the most variable parts of the human physique, there is little recent work on this region. Consequently, there is a need for an appraisal of the variation, new thinking as regards the methodology of recording and analysis, and further thought as to the possible applications of such methods. The present exploratory study uses
D R, Brothwell, M J, Healy, R G, Harvey
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Variational Analysis of Spherical Images
2005This paper focuses on variational image analysis on a sphere. Since a sphere is a closed Riemannian manifold with the positive constant curvature and no holes, a sphere has similar geometrical properties with a plane, whose curvature is zero. Images observed through a catadioptric system with a conic-mirror and a dioptric system with fish-eye lens are ...
Atsushi Imiya +3 more
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1985
One of the most powerful and useful techniques in modern statistical analysis is the analysis of variation. This technique may be used to assess the variation in a set of data associated with possible sources of variability. From this test it is possible to assess the relative importance of this variability.
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One of the most powerful and useful techniques in modern statistical analysis is the analysis of variation. This technique may be used to assess the variation in a set of data associated with possible sources of variability. From this test it is possible to assess the relative importance of this variability.
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Variation Analysis of CAM Cells
8th International Symposium on Quality Electronic Design (ISQED'07), 2007Process related variations are considered a major concern in emerging sub-65nm technologies. In this paper, we investigate the impact of process variations on different types of content addressable memories (CAM). As CAM structures are used in various on-chip structures such as caches and TLBs, understanding process variation impact of CAM structures ...
Amol Mupid +4 more
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Profile analysis and level variation
Hearing Research, 1984This study examines the effects of random level variation, a method used in studies of profile analysis [3-6,14,15]. Presentation levels for a complex of sinusoids are varied randomly on each interval of a two-interval, forced-choice detection task in which subjects are required to detect an increment on one of the sinusoidal components of the complex.
C R, Mason +3 more
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Modeling and analysis of manufacturing variations
Proceedings of the IEEE 2001 Custom Integrated Circuits Conference (Cat. No.01CH37169), 2002Process-induced variations are an important consideration in the design of integrated circuits. Until recently, it was sufficient to model die-to-die shifts in device performance, leading to the well known worst-case modeling and design methodology.
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Variations on strictness analysis
Proceedings of the 1986 ACM conference on LISP and functional programming - LFP '86, 1986Adrienne G. Bloss, Paul Hudak
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Variational Inequalities in Sequential Analysis
SIAM Journal on Mathematical Analysis, 1981Several models i.n sequential analysis are studied by reducing them to variational inequalities.
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