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1

Jones, Caroline Erin. "Least squares Gaussian quadrature." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1999. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape9/PQDD_0017/MQ54628.pdf.

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2

Hassel, Per Anker. "Nonlinear partial least squares." Thesis, University of Newcastle Upon Tyne, 2003. http://hdl.handle.net/10443/465.

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Partial Least Squares (PLS) has been shown to be a versatile regression technique with an increasing number of applications in the areas of process control, process monitoring and process analysis. This Thesis considers the area of nonlinear PLS; a nonlinear projection based regression technique. The nonlinearity is introduced as a univariate nonlinear function between projections, or to be more specific, linear combinations of the predictor and the response variables. As for the linear case, the method should handle multicollinearity, underdetermined and noisy systems. Although linear PLS is
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3

Ganssle, Graham. "Stabilized Least Squares Migration." ScholarWorks@UNO, 2015. http://scholarworks.uno.edu/td/2074.

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Before raw seismic data records are interpretable by geologists, geophysicists must process these data using a technique called migration. Migration spatially repositions the acoustic energy in a seismic record to its correct location in the subsurface. Traditional migration techniques used a transpose approximation to a true acoustic propagation operator. Conventional least squares migration uses a true inverse operator, but is limited in functionality by the large size of modern seismic datasets. This research uses a new technique, called stabilized least squares migration, to correctly migr
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4

Young, William Ronald. "Total least squares and constrained least squares applied to frequency domain system identification." Ohio : Ohio University, 1993. http://www.ohiolink.edu/etd/view.cgi?ohiou1176315127.

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5

Guo, Hengdao. "Frequency Tracking and Phasor Estimation Using Least Squares and Total Least Squares Algorithms." UKnowledge, 2014. http://uknowledge.uky.edu/ece_etds/57.

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System stability plays an important role in electric power systems. With the development of electric power system, the scale of the electric grid is now becoming larger and larger, and many renewable energy resources are integrated in the grid. However, at the same time, the stability and safety issues of electric power system are becoming more complicated. Frequency and phasors are two critical parameters of the system stability. Obtaining these two parameters have been great challenges for decades. Researchers have provided various kinds of algorithms for frequency tracking and phasor estima
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6

Santiago, Claudio Prata. "On the nonnegative least squares." Diss., Atlanta, Ga. : Georgia Institute of Technology, 2009. http://hdl.handle.net/1853/31768.

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Thesis (Ph.D)--Industrial and Systems Engineering, Georgia Institute of Technology, 2010.<br>Committee Chair: Earl Barnes; Committee Member: Arkadi Nemirovski; Committee Member: Faiz Al-Khayyal; Committee Member: Guillermo H. Goldsztein; Committee Member: Joel Sokol. Part of the SMARTech Electronic Thesis and Dissertation Collection.
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7

Müller, Werner. "On Least Squares Variogram Fitting." Department of Statistics and Mathematics, WU Vienna University of Economics and Business, 1997. http://epub.wu.ac.at/370/1/document.pdf.

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8

Yao, Gang. "Least-squares reverse-time migration." Thesis, Imperial College London, 2013. http://hdl.handle.net/10044/1/14575.

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Conventional migration methods, including reverse-time migration (RTM) have two weaknesses: first, they use the adjoint of forward-modelling operators, and second, they usually apply a crosscorrelation imaging condition to extract images from reconstructed wavefields. Adjoint operators, which are an approximation to inverse operators, can only correctly calculate traveltimes (phase), but not amplitudes. To preserve the true amplitudes of migration images, it is necessary to apply the inverse of the forward-modelling operator. Similarly, crosscorrelation imaging conditions also only correct tra
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9

Kim, Donggeon. "Least squares mixture decomposition estimation." Diss., This resource online, 1995. http://scholar.lib.vt.edu/theses/available/etd-02132009-171622/.

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10

Dugger, Katie M. "Foraging ecology and reproductive success of Least terns nesting on the lower Mississippi River /." free to MU campus, to others for purchase, 1997. http://wwwlib.umi.com/cr/mo/fullcit?p9841279.

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11

Chu, Ka Lok 1975. "Inequalities and equalities associated with ordinary least squares and generalized least squares in partitioned linear models." Thesis, McGill University, 2004. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=85140.

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The motivation for this thesis is the paper by Paul L. Canner [The American Statistician, vol. 23, no. 5, pp. 39--40 (1969)] in which it was noted that in simple linear regression it is possible for the generalized least squares regression line to lie either entirely above or entirely below all of the observed data points.<br>Chapter I builds on the observation that in Canner's model the ordinary least squares and generalized least squares regression lines are parallel, which led us to introduce a new measure of efficiency of ordinary least squares and to find conditions for which the t
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12

Srar, Jalal Abdulsayed. "Adaptive antenna array beamforming using a concatenation of recursive least square and least mean square algorithms." Thesis, Curtin University, 2011. http://hdl.handle.net/20.500.11937/618.

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In recent years, adaptive or smart antennas have become a key component for various wireless applications, such as radar, sonar and cellular mobile communications including worldwide interoperability for microwave access (WiMAX). They lead to an increase in the detection range of radar and sonar systems, and the capacity of mobile radio communication systems. These antennas are used as spatial filters for receiving the desired signals coming from a specific direction or directions, while minimizing the reception of unwanted signals emanating from other directions.Because of its simplici
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13

Kubitz, Jörg. "Gemischte Least-Squares-FEM für Elastoplastizität." [S.l.] : [s.n.], 2007. http://deposit.ddb.de/cgi-bin/dokserv?idn=983832625.

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14

Kolev, Tzanio Valentinov. "Least-squares methods for computational electromagnetics." Texas A&M University, 2004. http://hdl.handle.net/1969.1/1115.

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The modeling of electromagnetic phenomena described by the Maxwell's equations is of critical importance in many practical applications. The numerical simulation of these equations is challenging and much more involved than initially believed. Consequently, many discretization techniques, most of them quite complicated, have been proposed. In this dissertation, we present and analyze a new methodology for approximation of the time-harmonic Maxwell's equations. It is an extension of the negative-norm least-squares finite element approach which has been applied successfully to a variety of ot
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15

Baykal, Buyurman. "Underdetermined recursive least-squares adaptive filtering." Thesis, Imperial College London, 1995. http://hdl.handle.net/10044/1/7790.

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16

Fraley, Christina. "Solution of nonlinear least-squares problems /." Stanford, CA : Dept. of Computer Science, Stanford University, 1987. http://doi.library.cmu.edu/10.1184/OCLC/19613955.

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Thesis (Ph. D.)--Stanford University, 1987.<br>"June 1987." This research was supported in part by Joseph Oliger under Office of Naval Research contract N00014-82-K-0335, by Stanford Linear Accelerator Center and the Systems Optimization Laboratory under Army Research Office contract DAAG29-84-K-0156. Includes bibliographies.
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17

Silva, Aristeguieta Maria. "Optimization of seismic least-squares inversion /." Access abstract and link to full text, 1993. http://0-wwwlib.umi.com.library.utulsa.edu/dissertations/fullcit/9325432.

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18

Han, Qing 1980. "Solving constrained integer least squares problems." Thesis, McGill University, 2006. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=98720.

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The objective of this thesis is to design efficient algorithms for solving constrained integer least squares (ILS) problems. These problems may arise from many applications, such as communications and cryptography. In this thesis, we mainly consider two kinds of constrained ILS problems: box-constrained integer least squares (BILS) problem and ellipsoid-constrained integer least squares (EILS) problem.<br>Solving a constrained ILS problem usually has two stages: reduction (or preprocessing) and search. We first present a reduction algorithm and a search algorithm for solving the BILS problem.
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19

Hawes, Anthony H. "Least squares and adaptive multirate filtering." Thesis, Monterey, California. Naval Postgraduate School, 2012.

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Approved for public release; distribution in unlimited.<br>This thesis addresses the problem of estimating a random process from two observed signals sampled at different rates. The case where the low-rate observation has a higher signal-to- noise ratio than the high-rate observation is addressed. Both adaptive and non-adaptive filtering techniques are explored. For the non-adaptive case, a multirate version of the Wiener-Hopf optimal filter is used for estimation. Three forms of the filter are described. It is shown that using both observations with this filter achieves a lower mean-squared e
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20

RENTERIA, RAUL PIERRE. "ALGORITHMS FOR PARTIAL LEAST SQUARES REGRESSION." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2003. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=4362@1.

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CONSELHO NACIONAL DE DESENVOLVIMENTO CIENTÍFICO E TECNOLÓGICO<br>Muitos problemas da área de aprendizagem automática tem por objetivo modelar a complexa relação existente num sisitema , entre variáveis de entrada X e de saída Y na ausência de um modelo teórico. A regressão por mínimos quadrados parciais PLS ( Partial Least Squares) constitui um método linear para resolução deste tipo de problema , voltado para o caso de um grande número de variáveis de entrada quando comparado com número de amostras. Nesta tese , apresentamos uma variante do algoritmo clássico PLS par
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21

Bittau, A. "Toward least-privilege isolation for software." Thesis, University College London (University of London), 2009. http://discovery.ucl.ac.uk/18902/.

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Hackers leverage software vulnerabilities to disclose, tamper with, or destroy sensitive data. To protect sensitive data, programmers can adhere to the principle of least-privilege, which entails giving software the minimal privilege it needs to operate, which ensures that sensitive data is only available to software components on a strictly need-to-know basis. Unfortunately, applying this principle in practice is dif- cult, as current operating systems tend to provide coarse-grained mechanisms for limiting privilege. Thus, most applications today run with greater-than-necessary privileges. We
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22

Jennings, Anthony. "Economic problems of least developed countries." Thesis, University of Leicester, 1987. http://hdl.handle.net/2381/35499.

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The United Nations Conference on Least Developed Countries (UNCLDC) held in Paris in 1981, consolidated the category of least developed countries as a major issue at the international level. The creation of the category, and the theory and practice of least development are examined, and the results of the UNCLDC are assessed. Malawi is taken as a case study, to examine its response to the Substantial New Programme of Action, agreed to at the UNCLDC, and to analyse the extent to which the international community has fulfilled its commitment to substantially improve the volume and quality of ass
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23

Hawes, Anthony H. "Least squares and adaptive multirate filtering /." Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2003. http://library.nps.navy.mil/uhtbin/hyperion-image/03sep%5FHawes.pdf.

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Thesis (M.S. in Electrical Engineering)--Naval Postgraduate School, September 2003.<br>Thesis advisor(s): Charles W. Therrien, Roberto Cristi. Includes bibliographical references (p. 45). Also available online.
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24

Hazra, Rajeeb. "Constrained least-squares digital image restoration." W&M ScholarWorks, 1995. https://scholarworks.wm.edu/etd/1539623865.

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The design of a digital image restoration filter must address four concerns: the completeness of the underlying imaging system model, the validity of the restoration metric used to derive the filter, the computational efficiency of the algorithm for computing the filter values and the ability to apply the filter in the spatial domain. Consistent with these four concerns, this dissertation presents a constrained least-squares (CLS) restoration filter for digital image restoration. The CLS restoration filter is based on a comprehensive, continuous-input/discrete- processing/continuous-output (c/
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25

Guo, Ronggang. "Systematical analysis of the transformation procedures in Baden-Württemberg with Least Squares and Total Least Squares methods." Stuttgart : Universitätsbibliothek der Universität Stuttgart, 2007. http://nbn-resolving.de/urn:nbn:de:bsz:93-opus-33293.

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26

Schwalbach, Monica J. "Conservation of least terns and piping plovers along the Missouri River and its major western tributaries in South Dakota." Connect to this title online, 1988. http://www.fs.fed.us/r2/nebraska/gpng/lt%5Fplover/ltppmissouri/LTPPMissouriSchwalbach1988b.pdf.

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27

Maquignon, Axel. "Testing for Predictability Methods of Least Autocorrelation /." St. Gallen, 2006. http://www.biblio.unisg.ch/org/biblio/edoc.nsf/wwwDisplayIdentifier/02914406001/$FILE/02914406001.pdf.

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28

Furrer, Marc. "Numerical Accuracy of Least Squares Monte Carlo." St. Gallen, 2008. http://www.biblio.unisg.ch/org/biblio/edoc.nsf/wwwDisplayIdentifier/01650217002/$FILE/01650217002.pdf.

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29

Petra, Stefania. "Semismooth least squares methods for complementarity problems." Doctoral thesis, [S.l.] : [s.n.], 2006. http://deposit.ddb.de/cgi-bin/dokserv?idn=98174558X.

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30

Pei, Sun. "Noise Resistant Least Squares Based Adaptive Control." Thesis, KTH, Reglerteknik, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-92628.

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31

Kong, Seunghyun. "Linear programming algorithms using least-squares method." Diss., Available online, Georgia Institute of Technology, 2007, 2007. http://etd.gatech.edu/theses/available/etd-04012007-010244/.

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Thesis (Ph. D.)--Industrial and Systems Engineering, Georgia Institute of Technology, 2007.<br>Martin Savelsbergh, Committee Member ; Joel Sokol, Committee Member ; Earl Barnes, Committee Co-Chair ; Ellis L. Johnson, Committee Chair ; Prasad Tetali, Committee Member.
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32

Titley-Péloquin, David. "Backward pertubation analysis of least squares problems." Thesis, McGill University, 2010. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=94973.

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This thesis is concerned with backward perturbation analyses of the linear least squares (LS) and related problems. Two theoretical measures are commonly used for assessing the backward errors that arise in the approximate solution of such problems. These are called the normwise relative backward error (NRBE) and the minimal backward error (MBE). An important new relationship between these two measures is presented, which shows that the two are essentially equivalent. New upper bounds on the NRBE and MBE for the LS problem are given and related to known bounds and estimates. One important use
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33

Breen, Stephen. "Integer least squares search and reduction strategies." Thesis, McGill University, 2012. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=106561.

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This thesis is concerned with integer least squares problems, also referred to as closest vector problems. One often used approach to solving these problems is the discrete search method, which typically involves two stages, the reduction and the search. The main purpose of the reduction is to make the search faster. Reduction strategies for box-constrained integer least squares problems involve column reordering of the input matrix. There are currently two algorithms for column reordering that are most effective for the search stage, referred to here as SW and CH. Although both use all availa
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Saadi, Kamel. "Efficient regularisation of least-squares kernel machines." Thesis, University of East Anglia, 2010. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.522281.

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35

Tuyishimire, Emmanuel. "Internet of Things: Least Interference Beaconing Algorithms." Thesis, University of Cape Town, 2014. http://pubs.cs.uct.ac.za/archive/00000997/.

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The emerging sensor networking applications are predicting the deployment of sensor devices in thousands of computing elements into multi-technology and multi-protocol platforms. Access to information will be available not only anytime and anywhere, but also using anything in a first-mile of the Internet referred to as the internet-of-things (IoT). The management of such a large-scale and heterogeneous network, would benefit from some of the traditional IP-based network management techniques such as load and energy balancing, which can be re-factored to achieve efficient routing of sensor netw
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Rogers, C. A. "Partial least squares (PLS) : a comparative assessment." Thesis, University of Bath, 1989. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.235583.

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37

Cho, Youngjae. "Least squares estimation of acoustic reflection coeffficient." Thesis, University of Southampton, 2005. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.420208.

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38

TORTURELA, ALEXANDRE DE MACEDO. "NOVEL SPARSE SYSTEMS LEAST SQUARES ESTIMATION METHODS." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2014. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=26712@1.

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PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO<br>INSTITUTO MILITAR DE ENGENHARIA<br>CENTRO TECNOLÓGICO DO EXÉRCITO<br>INSTITUTO DE PESQUISA E DESENVOLVIMENTO<br>Neste trabalho, quatro métodos projetados especificamente para a estimação de sistemas esparsos são originalmente elaborados e apresentados. São eles: Encolhimentos Sucessivos, Expansões Sucessivas, Minimização da Norma l1 e Ajuste Automático do fator de regularização do Custo LS. Os quatro métodos propostos baseiam-se na técnica de estimação de sistemas lineares e invariantes no tempo pelo critério dos mínimos quadrados, universa
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39

Ynosencio, Lucille D. (Lucille Diane). "Flow Garden : on paths of least resistance." Thesis, Massachusetts Institute of Technology, 2009. http://hdl.handle.net/1721.1/49733.

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Thesis (M. Arch.)--Massachusetts Institute of Technology, Dept. of Architecture, 2009.<br>Includes bibliographical references (p. 64).<br>Flow Garden is a proposal for a park architecture in which building becomes pathway. The project conceives of the building as an instrument within its larger urban context which has the capacity to strengthen and unify fragmented public space. The project does so by collecting and articulating all possible wanderings within a public park strategically located adjacent to Downtown Orlando, Florida. The strategy employed in Flow Garden is an inversion of the a
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40

Bian, Xiaomeng. "Completely Recursive Least Squares and Its Applications." ScholarWorks@UNO, 2012. http://scholarworks.uno.edu/td/1518.

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The matrix-inversion-lemma based recursive least squares (RLS) approach is of a recursive form and free of matrix inversion, and has excellent performance regarding computation and memory in solving the classic least-squares (LS) problem. It is important to generalize RLS for generalized LS (GLS) problem. It is also of value to develop an efficient initialization for any RLS algorithm. In Chapter 2, we develop a unified RLS procedure to solve the unconstrained/linear-equality (LE) constrained GLS. We also show that the LE constraint is in essence a set of special error-free observations and fu
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Seegmiller, Lindsi. "Modeling and optimization of least-cost corridors." Licentiate thesis, KTH, Geoinformatik, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-291279.

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Given a grid of cells, each having a value indicating its cost per unit area, a variant of the least-cost path problem is to find a corridor of a specified width connecting two termini such that its cost-weighted area is minimized. A computationally efficient method exists for finding such corridors, but as is the case with conventional raster-based least-cost paths, their incremental orientations are limited to a fixed number of (typically eight orthogonal and diagonal) directions, and therefore, regardless of the grid resolution, they tend to deviate from those conceivable on the Euclidean p
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42

Schwab, Devin. "Hierarchical Sampling for Least-Squares Policy Iteration." Case Western Reserve University School of Graduate Studies / OhioLINK, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=case1441374844.

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43

Chatkupt, Chlump. "Least-squares regret and partially strategic players." Thesis, London School of Economics and Political Science (University of London), 2015. http://etheses.lse.ac.uk/3220/.

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Noncooperative game theory enjoys a vast canon of solution concepts. The predominant solution concept is Nash equilibrium (Nash, 1950a; Nash, 1951). Other solution concepts include generalizations and refinements of Nash equilibrium as well as alternatives to it. Despite their successes, the established solution concepts are in some ways unsatisfactory. In particular, for many games, such as the Centipede Game (Rosenthal, 1981), the p-Beauty Contest (Moulin, 1986; Simonsen, 1988), and the notorious Traveler’s Dilemma (Basu, 1994; Basu, 2007), many of the solution concepts yield solutions that
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Degtyarena, Anna Semenovna. "The window least mean square error algorithm." CSUSB ScholarWorks, 2003. https://scholarworks.lib.csusb.edu/etd-project/2385.

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In order to improve the performance of LMS (least mean square) algorithm by decreasing the amount of calculations this research proposes to make an update on each step only for those elements from the input data set, that fall within a small window W near the separating hyperplane surface. This work aims to describe in detail the results that can be achieved by using the proposed LMS with window learning algorithm in information systems that employ the methodology of neural network for the purposes of classification.
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Rosopa, Patrick. "A COMPARISON OF ORDINARY LEAST SQUARES, WEIGHTED LEAST SQUARES, AND OTHER PROCEDURES WHEN TESTING FOR THE EQUALITY OF REGRESSION." Doctoral diss., University of Central Florida, 2006. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/2311.

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When testing for the equality of regression slopes based on ordinary least squares (OLS) estimation, extant research has shown that the standard F performs poorly when the critical assumption of homoscedasticity is violated, resulting in increased Type I error rates and reduced statistical power (Box, 1954; DeShon & Alexander, 1996; Wilcox, 1997). Overton (2001) recommended weighted least squares estimation, demonstrating that it outperformed OLS and performed comparably to various statistical approximations. However, Overton's method was limited to two groups. In this study, a generalization
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46

Dirks, Brian J. "Distribution and productivity of least terns and piping plovers along the Missouri and Cheyenne rivers in South Dakota." Connect to this title online, 1990. http://www.fs.fed.us/r2/nebraska/gpng/lt%5Fplover/ltppmissouri/LTPPMissouriDirks1990.pdf.

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47

Martin, Holly R. "Intraspecific phylogeography of the Least brook lamprey (Lampetra aepyptera)." Ohio : Ohio University, 2006. http://www.ohiolink.edu/etd/view.cgi?ohiou1141746230.

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48

Holmes, Marion R. "Least squares approximation by G¹ piecewise parametric cubics /." Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 1993. http://handle.dtic.mil/100.2/ADA277978.

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49

Huang, Xuejun, and Xuewen Huang. "The Least-Squares Method for American Option Pricing." Thesis, Uppsala University, Department of Mathematics, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-119754.

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Munoz, Maldonado Yolanda. "Mixed models, posterior means and penalized least squares." Texas A&M University, 2005. http://hdl.handle.net/1969.1/2637.

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In recent years there has been increased research activity in the area of Func- tional Data Analysis. Methodology from finite dimensional multivariate analysis has been extended to the functional data setting giving birth to Functional ANOVA, Functional Principal Components Analysis, etc. In particular, some studies have pro- posed inferential techniques for various functional models that have connections to well known areas such as mixed-effects models or spline smoothing. The methodol- ogy used in these cases is computationally intensive since it involves the estimation of coefficients in li
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