Dissertations / Theses on the topic 'Trust Region Model'
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Eason, John P. "A Trust Region Filter Algorithm for Surrogate-based Optimization." Research Showcase @ CMU, 2018. http://repository.cmu.edu/dissertations/1145.
Full textKouri, Drew P. "A Nonlinear Response Model for Single Nucleotide Polymorphism Detection Assays." Case Western Reserve University School of Graduate Studies / OhioLINK, 2008. http://rave.ohiolink.edu/etdc/view?acc_num=case1212598582.
Full textUnger, Benjamin. "Impact of Discretization Techniques on Nonlinear Model Reduction and Analysis of the Structure of the POD Basis." Thesis, Virginia Tech, 2013. http://hdl.handle.net/10919/24197.
Full textMaster of Science
Bryson, Dean Edward. "A Unified, Multifidelity Quasi-Newton Optimization Method with Application to Aero-Structural Design." University of Dayton / OhioLINK, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=dayton1510146591195367.
Full textCrabb, Evelina, and Karin Bäcklund. "Hålla rågången : En kvalitativ studie av relationen mellan lokalpolitiker i Kalmar och journalister." Thesis, University of Kalmar, School of Communication and Design, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:hik:diva-385.
Full textThis study focused on how local politicians in Kalmar perceive journalists and their intertwined relationship. We based our study on the theoretical understanding of today’s media-centric democratic society. The ‘adversary model’ offered an understanding of the intricate relations between politicians and journalists. The relationship builds on constant trade where both parties are dependent on each other. Politicians exchange information to gain attention in the media. Journalists needs politicians as important sources of information and have the power to control the exposure that politicians get in the public eye. This study was researched and conducted through qualitative interviews with local politicians.
We found that experienced politicians have developed an understanding for journalistic work and that it is important to have a good relationship to reach out to their constituency. This professional relationship has to be kept at arm’s length as it otherwise risks to become too muddled. We learned that politicians are well aware of the need to adapt to media conditions – there were, however, examples of breakdowns in this precarious relationship.
The politicians in our study delivered several examples of how media adaptation is managed, e g how press conferences are scheduled according to media deadlines and are held at suitable locations so that photographers can get good pictures. Trust appeared to be the crucial condition for a rewarding relationship. Every politician in our study agreed that it is all a question of trust.
Munster, Drayton William. "Robust Parameter Inversion Using Stochastic Estimates." Diss., Virginia Tech, 2020. http://hdl.handle.net/10919/96399.
Full textDoctor of Philosophy
For problems such as medical imaging, the process of reconstructing the state of a system from measurement data can be very expensive to compute. The ever increasing need for high accuracy requires very large models to be used. Reducing the computational burden by replacing the model with a specially constructed smaller model is an established and effective technique. However, it can be difficult to determine how well the smaller model matches the original model. In this thesis, we examine two techniques for estimating the quality of a smaller model based on randomized combinations of sources and detectors. The first technique focuses on reducing the computational cost as much as possible. With the equivalent of a single randomized source, we show that this estimate is an effective measure of the model quality. Coupled with a new technique for improving the smaller model, we demonstrate a highly efficient and robust method. The second technique prioritizes robustness in its algorithm. The algorithm uses these randomized combinations to estimate how the observations change for different system states. If these estimates are accurate with a high probability, we show that this leads to a method that always finds a minimum misfit between predicted values and the observed data.
Dogan, Deniz. "Numerical optimization for mixed logit models and an application." Diss., Atlanta, Ga. : Georgia Institute of Technology, 2008. http://hdl.handle.net/1853/28190.
Full textCommittee Chair: Anton Kleywegt; Committee Co-Chair: Alexander Shapiro; Committee Member: Charles Rosa; Committee Member: Shabbir Ahmed; Committee Member: Sigrun Andradottir.
Kühne, Regina. "Essays on choices, beliefs and adaptive behavior." Doctoral thesis, Humboldt-Universität zu Berlin, Wirtschaftswissenschaftliche Fakultät, 2015. http://dx.doi.org/10.18452/17125.
Full textThis thesis consists of three essays that analyze choices and beliefs to explore how both lead to adaptive behavior. The first essay examines the positive net migration flow from the eastern to western parts of Germany. The migration decision is substantially based on expectations about future developments. With economic conditions changing substantially over the past 20 years in the eastern part of Germany, the incentives to migrate have also altered, so changing the composition of the east-to-west migrant body. This essay explores variations in economic disparities between the region of origin and region of destination, relating them to changes in the skill level, age and labor force status of the migrant population. Analyzing SOEP data from 1993-2011, the findings suggest that, with falling wage differentials, older migrants are less frequent job-to-job movers and are more likely to be non-working prior to migration. Furthermore, while migrants tend to be younger and better educated than stayers, the group of movers becomes partly less distinct from the group of stayers with respect to the skill and age composition when regional disparities in employment opportunities increase. The second and the third essay of this thesis model the decision making process in social interactions between strangers. In these situations, choices are often affected by beliefs about others behavior. In the second essay of this work, I develop a simple model of prosocial behavior for encounters between strangers. By abstracting from the possibility of reputation building and punishment between anonymous partners, I remove the main strategic motives for prosocial behavior so reducing it to a simple non-strategic decision. The principal motivation to behave prosocially is then intrinsic, based on altruism, with a taste for conforming to the behavior of others. In this way, individual decisions are conditional on the behavior of others. Emerging equilibria will then explain the occurrence of prosocial or cooperative behavior within a given society. In a second step, I analyze whether the model’s predictions are consistent with the empirical evidence on the link between beliefs and prosocial behavior using data on blood donations. The third essay outline a (possible) micro-structure and conditions which lead to the observed urban-rural differences in cooperative behavior using agent-based modeling. The model presented here adapts the familiar framework of a prisoners dilemma which is played repeatedly with randomly matched members of a large population. I introduce features that are often found in real world interactions: imperfect information, voluntary participation and a taste for conforming to majority behavior. In this analysis, peoples beliefs about the level of cooperation in the population and their resulting behavior are determined endogenously. Both are governed principally by the experience that they derive from interactions. I present results of an agentbased simulation in order to study the emerging dynamic relationships, to examine how cooperative behavior evolves over time under different circumstances, and to determine how urban-rural differences in behavior emerge. The factors that give rise to rural-urban differences are heterogeneity in individual loss aversion or risk taking, and limited migration possibilities between rural and urban areas.
Roig, Hernando Jaume. "Análisis e inversión en el mercado inmobiliario desde una perspectiva conductual." Doctoral thesis, Universitat Politècnica de Catalunya, 2015. http://hdl.handle.net/10803/288316.
Full textEl aumento del interés inversor en el sector inmobiliario, el cual forma parte tanto de carteras de pequeños inversores hasta grandes fondos de inversión internacionales, ha llevado a la aparición de nuevos vehículos de inversión inmobiliaria dotando al mercado de mayor complejidad, asemejándolo cada vez más a los mercados financieros. La investigación académica entorno al mercado inmobiliario, desde una perspectiva financiera, ha tomado como referencia las finanzas modernas surgidas de la escuela económica neoclásica y basadas en la teorías de carteras de Markowitz, del mercado de capitales de Sharpe y del mercado eficiente de Fama. No obstante, una nueva corriente denominada finanzas conductuales, desarrolladas a partir de las teorías de la escuela conductual, han puesto en duda los modelos de las finanzas modernas debido al dudoso encaje de sus modelos en el mercado inmobiliario, así como en la escasa previsión de la crisis de los mercados financieros del año 2008. Así, la falta de un mercado único de comercialización, la ineficiencia informacional, la heterogeneidad e iliquidez de los activos, son algunas de las características del sector inmobiliario que no se adaptan a las hipótesis de la teoría económica moderna, y que, por tanto, exigen un nuevo planteamiento que parece resolverse mediante las finanzas conductuales. La escuela conductual asume la ineficiencia de los mercados y la irracionalidad de sus actores (los cuales influyen en los precios infravalorándolos o sobrevalorándolos de forma persistente y duradera) y desarrolla modelos en base al comportamiento real de las personas. La presente tesis doctoral aplica las finanzas conductuales para el análisis e inversión en el mercado inmobiliario evidenciando que los modelos conductuales comportan una mejora en las tomas de decisiones de sus actores. Por un lado, se ha desarrollado un modelo econométrico del precio de la vivienda nueva en España que supone no sólo un acercamiento que combina el enfoque extrínseco e intrínseco, si no que incorpora también hipótesis de la escuela conductual a fin de explicar y prever el ciclo inmobiliario español y comprender los períodos de exuberancia irracional. Adicionalmente, se ha procedido a analizar desde una perspectiva financiera, el comportamiento de las primeras SOCIMI (Sociedades Anónimas Cotizadas de Inversión en el Mercado Inmobiliario) constituidas en España, desarrollando un modelo que prevé el valor del ratio P/NAV, obtenido como el cociente entre la cotización (P) y el valor neto de los activos (NAV) de una SOCIMI. Así mismo se comprueba que la constitución de una SOCIMI es una alternativa eficiente para las sociedades inmobiliarias para la obtención de liquidez de sus activos, frente a otras alternativas como la enajenación directa de éstos o la obtención de financiación bancaria. Finalmente, aunque la liquidez de las primeras SOCIMI constituidas en España es moderada, se evidencia que son un vehículo de inversión inmobiliaria competitivo en términos de rentabilidad y riesgo, previéndose una mejora en el medio plazo a medida se constituyan SOCIMI de mayor tamaño y se disponga de series históricas de rentabilidades más amplias.
DEAN, EDWARD JEROME. "A MODEL TRUST REGION MODIFICATION OF INEXACT NEWTON'S METHOD FOR NONLINEAR TWO POINT BOUNDARY VALUE PROBLEMS (QUASILINEARIZATION)." Thesis, 1985. http://hdl.handle.net/1911/15893.
Full textThomson, Quinn Parker. "Progressive Validity Metamodel Trust Region Optimization." Thesis, 2008. http://hdl.handle.net/1807/17231.
Full textCARTER, RICHARD GORDON. "MULTI-MODEL ALGORITHMS FOR OPTIMIZATION (TRUST REGIONS, NONLINEAR LEAST SQUARES, SECANT, HYBRID METHODS, MODEL SWITCHING)." Thesis, 1986. http://hdl.handle.net/1911/15960.
Full textChuang, Yao-Tung, and 莊耀棟. "Relaxation of Global Registration Error of 3D Models with the Trust-Region Algorithm." Thesis, 2006. http://ndltd.ncl.edu.tw/handle/60034206141616730142.
Full text國立暨南國際大學
資訊工程學系
94
Three-dimensional data acquisition techniques form the basis of reverse engineering. In order to obtain the complete information of an object surface, it is usually required to scan the object from different angles of views. Therefore, the data sets have to be registered to compute the coordinate transformation matrices among them. However, the registration results may contain estimation errors owing to the incorrect correspondences and measurement noise. The effect of registration error may be not obvious in pair-wise registration, but the accumulated registration error often results in serious flaws in global registration. Therefore, global registration is one of the key issues in reverse engineering. Because the amount of data and variables that have to be dealt with in global registration can be very large, reducing the global registration error is a difficult task. A feasible approach is to linearize Rodrigues’ formula for rotation matrices so that the constrained large scale nonlinear optimization problem can be simplified to be tractable. However, when the accumulation error is too large to be linearized, the linearization solutions will fail. In this thesis, we propose a trust-region algorithm that can automatically adjust the trust radius of linearization zone so that we can take advantages of both the efficiency of linearization and the accuracy of nonlinear constraints. Experiments showed that the proposed method is efficient and accurate.
Mai, Anh Tien. "Revisiting optimization algorithms for maximum likelihood estimation." Thèse, 2012. http://hdl.handle.net/1866/9828.
Full textMaximum likelihood is one of the most popular techniques to estimate the parameters of some given distributions. Under slight conditions, the produced estimators are consistent and asymptotically efficient. Maximum likelihood problems can be handled as non-linear programming problems, possibly non convex, that can be solved for instance using line-search methods and trust-region algorithms. Moreover, under some conditions, it is possible to exploit the structures of such problems in order to speedup convergence. In this work, we consider various non-linear programming techniques, either standard or recently developed, within the maximum likelihood estimation perspective. We also propose new algorithms to solve this estimation problem, capitalizing on Hessian approximation techniques and developing new methods to compute steps, in particular in the context of line-search approaches. More specifically, we investigate methods that allow us switching between Hessian approximations and adapting the step length along the search direction. We finally assess the numerical efficiency of the proposed methods for the estimation of discrete choice models, more precisely mixed logit models.
Scott, Reece Melby. "Experimentally Validated Compatibility Strut and Tie Modeling of Reinforced Concrete Bridge Piers." 2010. http://hdl.handle.net/1969.1/ETD-TAMU-2010-08-8563.
Full textVidelefsky, Daryn Michael. "Investigating emerging market economies Reverse REIT-Bond Yield Gap anomalies: a case for tactical asset allocation under the multivariate Markov regime switching model." Thesis, 2017. http://hdl.handle.net/10539/23698.
Full textThis paper presents a first time application of a variant of the concepts underpinning the Fed Model, amalgamated with the Bond-Stock Earnings Yield Differential, by applying it to the dividend yields of REIT indices. This modification is termed the yield gap, quantitatively constructed and adapted in this paper as the Reverse REIT-Bond Yield Gap. This metric is then used as the variable of interest in a multivariate Markov regime switching model framework, along with a set of three regressors. The REIT indices trailing dividend yield and associated metrics are the FTSE/EPRA NAREIT series. All data are from Bloomberg Terminals. This paper examines 11 markets, of which the EMEs are classified as Brazil, Mexico, Turkey and South Africa, whereas the advanced market counterparts are Australia, France, Japan, the Netherlands, Singapore, the United Kingdom, and the United States. The time-frame spans the period June 2013 until November 2015 for the EMEs, whilst their advanced market counterparts time-span covers the period November 2009 until November 2015. This paper encompasses a tri-fold research objective, and aims to accomplish them in a scientifically-based, objective and coherent fashion. Specifically, the purpose is in an attempt to gauge the reasons underlying EMEs observed anomalies entailing reverse REIT-Bond yield gaps, whereby their tenyear nominal government bonds out-yield their trailing dividend yields on their associated REIT indices; what drives fluctuations in this metric; and whether or not profitable tactical asset allocation strategies can be formulated to exploit any arbitrage mispricing opportunities. The Markov models were unable to generate clear-cut, definitive reasons regarding why EMEs experience this anomaly. Objectives two and three were achieved, except for France and Mexico. The third objective was also met. The REIT-Bond Yield Gaps static conditions have high probabilities of continuing in the same direction and magnitude into the future. In retrospection, the results suggest that by positioning an investment strategy, taking cognisance of the chain of economic events that are likely to occur following static REIT-Bond Yield Gaps, then investors, portfolio rebalancing and risk management techniques, hedging, targeted, tactical and strategic asset allocation strategies could be formulated to exploit any potential arbitrage profits. The REIT-Bond Yield Gaps are considered highly contentious, yet encompasses the potential for significant reward. The Fed Model insinuates that EME REIT markets are overvalued relative to their respective government bonds, whereas their advanced market counterparts exhibit the opposite phenomenon.
XL2018