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 75 for “"Least Squares Method"”.
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Massively parallel solver for the high-order Galerkin Least-Squares method
A high-order Galerkin Least-Squares (GLS) finite element discretization is combined with massively parallel implicit solvers. The stabilization parameter of the GLS discretization is modified to improve the resolution characteristics and the condition number for the high-order interpolation. The …
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Analysis of Static and Dynamic Deformations of Laminated Composite Structures by the Least-Squares Method
… consider in this thesis the application of the least-squares finite element method (LSFEM) to problems of static deformations of laminated and sandwich plates and transient plane stress deformations of sandwich beams. Models are derived to express the governing equations of linear elasticity in …
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Characterization of a Spiking Neuron Model via a Linear Approach
… In our two-stage estimation approach, a linear least squares method and a linear model of the threshold are derived to predict the location of neuronal spikes. However, desired results are not obtained and the predicted model is unsuccessful in duplicating the spike locations. Chapter 3 is …
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Statistical modeling of protein lysate array data
… to illustrate the performance of the proposed method in finite-samples. The multi-step procedure is simpler in both theory and computation than the single-step least squares method that has been used in current practice. In Chapter 3, we introduce a new model to account for the dependence …
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Compensation of nonlinear distortion in RF amplifiers for mobile communications
… memory, as well as memoryless ones. Different methods for modelling are used, as the Volterra series, polynomial models, look-up tables, the Hammerstein models, the Wiener models, and artificial intelligence systems. For predistortion feedback, feedforward and digital predistortion techniques …
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A Study of Effects of Blood Types, Sires, Litter Size and Other Factors on Sex Ratios in Pigs
… by using segregation ratios as well as by the least-squares method. Effects of sire, litter size and selection for high whole-body potassium per unit weight of boars on sex ratios were all considered. A total of 1,328 litters of pigs over seven generations in five breed classes (Duroc, Duroc …
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Outliers in a Linear Regression Model
… and the physical sciences. Given the data, the least squares method gives information for statistical inferences. However, the researcher frequently feels that the regression results are not trustworthy because of possible problems with the data. These problems have sometimes been ignored in …
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A sectorally disaggregated econometric model for forecasting copper demand in the U.S.
… A comparison with results using the Ordinary Least Squares method is also provided. Exogenous variables used in each sectoral equation were forecast separately and copper demand was subsequently forecast for each end-use sector.
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Adaptive swing-up and balancing control of acrobot systems
… of the system's mass or geometric parameters. A least squares method is used to identify the 5 parameters necessary to completely characterize acrobot dynamics. Swing up is accomplished using partial feedback linearization and a pump up strategy to add energy to the system. The controller then …
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Lp norm estimation procedures and an L1 norm algorithm for unconstrained and constrained estimation for linear models
… regression model departs from normality, the method of least squares seems to yield relatively poor estimates of the coefficients. One alternative approach to least squares which has received a great deal of attention of late is minimum L<sub>p</sub> norm estimation. However, the statistical …
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Least squares spectral element method for laminar and turbulent flows, –continuous and discontinuous approaches–
In this research, application of a least squares spectral element method for compressible laminar and turbulent flow problems is investigated. For the turbulent Reynolds Averaged Navier-Stokes (RANS), a modified Spalart-Allmaras (SA) turbulence model is employed and integrated with the mean flow …
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Least squares finite element methods for the Stokes and Navier-Stokes equations
… goal of this work is to define and analyze least squares finite element methods for the Stokes and Navier-Stokes equations that are practical and optimal in a systematic and rigorous way. To accomplish this task we begin by developing the least squares theory for the linear Stokes equations. …
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Accuracy Improvement of Terrestrial Mobile Lidar System in Engineering Surveys
… coordinate transformation (3DCCT) through Least Squares Method (LSM) was applied by employing the ground control points incorporating with feature constraints. Secondly, the multistrip adjustment (MA) algorithm was developed by taking advantage of the overlapped data strips and the repeated …
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A model for Arctic Charr populations in Cambridge Bay considering fluctuating environment
… Cambridge Bay and using a generalized weighted least squares method, model parameters are estimated. The results of estimated parameters and a sensitivity analysis reveal the importance of early-ages individuals in the limiting behaviour of the population. Second, we investigate how the fitness …
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Estimation of Parameters in Replicated Time Series Regression Models
… this thesis, we study the application of quasi-least squares, a relatively new method, to estimate the parameters in replicated time series models with general ARMA(<em> p, q</em>) correlation structure. We also study several established methods for estimating the parameters in those models, …
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A mathematical model for least squares point determination from cadastral data
… therefore has to cope with poor geometry. The method used to determine apex coordinates must be time and cost efficient, and produce acceptable levels of precision. This study examines the feasibility of using a particular mathematical model with the least squares method in the partial …
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Algorithms for Tomographic Reconstruction of Rectangular Temperature Distributions using Orthogonal Acoustic Rays
… algebraic reconstruction technique (SMART) and least squares method (LSQR), are investigated for visualizing temperature contours of the heated plume. A rectangular arrangement of transmitter and microphones with a traversing mechanism collected two orthogonal sets of acoustic projection data. …
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A structured demographic evaluation approach for interactive technologies based on the identification of high impact usability factors
Websites are an important method of buying and selling products conveniently. Website design is very important in achieving business success by attracting more customers. A visually appealing site with trustworthy content, which is easy to navigate will produce a sense of trust with the least …
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Domain decomposition based algorithms for some inverse problems
… 011frameworks provided by domain decomposition methods and the numerical schemes use finite volume and finite difference discretisations. Three algorithms are developed in the context of a metal cutting problem. The algorithms require measurement data within the physical body in order to …
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