Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 878 for “"Interpolation"”.
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Generalized Constrained Interpolation
<p>Interpolation is essential in digital image processing, especially magnification. Many different approaches to interpolation specific to magnification have been developed in an effort to overcome the shortcomings of bilinear and bicubic interpolation. One of these approaches, Constraint-Based …
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Constraint-Based Interpolation
… algorithm known as Constraint-Based Interpolation, which estimates the sampling functions found in cameras and analyzes properties of real world images in order to produce quality real-world image magnifications. To accomplish this, Constraint-Based Interpolation uses a sensor model …
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Sparse Grid Interpolation
… to quality and run time and give proof that the interpolation by using combination approach is the classical sparse grid. We give details on the basic features of sparse grids and we consider several test problems up to dimensions. The results of numerical experiments report on the quality of …
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Sparse Grid Interpolation
… to quality and run time and give proof that the interpolation by using combination approach is the classical sparse grid. We give details on the basic features of sparse grids and we consider several test problems up to dimensions. The results of numerical experiments report on the quality of …
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Multivariable Interpolation Problems
… we solve multivariable Nevanlinna-Pick type interpolation problems. Particularly, we consider the left tangential interpolation problems on the commutative or noncommutative unit ball. For the commutative setting, we discuss left-tangential operator-argument interpolation problems for …
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Evaluation Of Osculatory Interpolation
54 leaves
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Techniques in interpolation problems
… dissertation studies degeneration techniques in interpolation problems, that can be phrased as computing the dimension of the space of plane curves of degree d having general multiple points. The general interpolation problem goes back to the origin of algebraic geometry and is still far from …
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Minimal Norm Constrained Interpolation
… of de Boor's work on minimal norm unconstrained interpolation.</p>
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An exponential interpolation series
… properties of the permanent exponential interpolation series f(Z) = 1<sup>Z</sup>f(0) + (2<sup>Z</sup> - 1<sup>Z</sup>)Δf(0) + (3<sup>Z</sup> - 2.2<sup>Z</sup> + 1<sup>Z</sup>/2!)Δ(Δ - 1)f(0) + … have been investigated. Using the following notation U<sub>n</sub>(Z) = …
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Smooth Interpolation on Series of Measures
In this thesis, we explore concepts related to interpolation between series of measures with a focus on trajectory inference. In many application scenarios, we seek to model continuous phenomena with sequences of discrete data. This task is particularly important when working with time-series data, …
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Learning aggregates and interpolation for algebraic multigrid
Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2022-11-11 without embargo terms
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Iterative Techniques for Radial Basis Function Interpolation
… iterative procedures arises when the number of interpolation conditions $\textit{n}$ is large, since hardly any sparsity occurs in the linear system of interpolation equations. Solving this system with direct methods would require O($\textit{n}$3) operations. This dissertation considers several …
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The graphic-photographic computer : aspects of interpolation
Thesis. 1978. M.S.--Massachusetts Institute of Technology. Dept. of Architecture.
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Nonparametric modeling of dependencies for spatial interpolation
Crucial in spatial interpolation of stochastic processes is the determination of the underlying dependency of the data. The dependency can be represented by an underlying covariogram, variogram, or generalized covariogram. Estimating this function in a nonparametric way is the theme of this thesis. …
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Blackbox Stencil Interpolation Method for model reduction
… of machine learning, Black-box Stencil Interpolation Method, for this purpose. It is a non-intrusive, data-oriented method to infer the underlying physics that governs a simulation, which can be combined with conventional intrusive model reduction techniques. This method is tested on …
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Rational Interpolation Methods for Nonlinear Eigenvalue Problems
… This observation leads us to explore rational interpolation for system realization, producing a Loewner matrix contour integration technique. The second development of this work studies the application of rational interpolation to the function $T(z)^{-1}$, where we use the poles of this …
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Some Problems in the Theory of Trigonometric Interpolation
University of Minnesota Masters thesis. June 1920. Major: Mathematics. 1 computer file (PDF); 29 pages.
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