Dissertations / Theses on the topic 'Numerical computation and mathematical software'
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Bienvenu, Kirk Jr. "Underwater Acoustic Signal Analysis Toolkit." ScholarWorks@UNO, 2017. https://scholarworks.uno.edu/td/2398.
Full textLesage, Pierre-Yves. "Numerical computation and software design." Thesis, Cranfield University, 1999. http://dspace.lib.cranfield.ac.uk/handle/1826/11134.
Full textLesage, P.-Y. "Numerical computation and software design." Thesis, Cranfield University, 1999. http://dspace.lib.cranfield.ac.uk/handle/1826/11134.
Full textChang, Tyler Hunter. "Mathematical Software for Multiobjective Optimization Problems." Diss., Virginia Tech, 2020. http://hdl.handle.net/10919/98915.
Full textDoctor of Philosophy
Science and engineering are full of multiobjective tradeoff problems. For example, a portfolio manager may seek to build a financial portfolio with low risk, high return rates, and minimal transaction fees; an aircraft engineer may seek a design that maximizes lift, minimizes drag force, and minimizes aircraft weight; a chemist may seek a catalyst with low viscosity, low production costs, and high effective yield; or a computational scientist may seek to fit a numerical model that minimizes the fit error while also minimizing a regularization term that leverages domain knowledge. Often, these criteria are conflicting, meaning that improved performance by one criterion must be at the expense of decreased performance in another criterion. The solution to a multiobjective optimization problem allows decision makers to balance the inherent tradeoff between conflicting objectives. A related problem is the multivariate interpolation problem, where the goal is to predict the outcome of an event based on a database of past observations, while exactly matching all observations in that database. Multivariate interpolation problems are equally as prevalent and impactful as multiobjective optimization problems. For example, a pharmaceutical company may seek a prediction for the costs and effects of a proposed drug; an aerospace engineer may seek a prediction for the lift and drag of a new aircraft design; or a search engine may seek a prediction for the classification of an unlabeled image. Delaunay interpolation offers a unique solution to this problem, backed by decades of rigorous theory and analytical error bounds, but does not scale to high-dimensional "big data" problems. In this thesis, novel algorithms and software are proposed for solving both of these extremely difficult problems.
Moosbrugger, John C. "Numerical computation of metal/mold boundary heat flux in sand castings using a finite element enthalpy model." Thesis, Georgia Institute of Technology, 1985. http://hdl.handle.net/1853/16365.
Full textLawson, Jane. "Towards error control for the numerical solution of parabolic equations." Thesis, University of Leeds, 1989. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.329947.
Full textYau, Shuk-Han Ada. "Numerical analysis of finite difference schemes in automatically generated mathematical modeling software." Thesis, Massachusetts Institute of Technology, 1994. http://hdl.handle.net/1721.1/35407.
Full textIncludes bibliographical references (leaves 64-65).
by Shuk-Han Ada Yau.
M.S.
Rebaza-Vasquez, Jorge. "Computation and continuation of equilibrium-to-periodic and periodic-to-periodic connections." Diss., Georgia Institute of Technology, 2002. http://hdl.handle.net/1853/28991.
Full textShi, Bin. "A Mathematical Framework on Machine Learning: Theory and Application." FIU Digital Commons, 2018. https://digitalcommons.fiu.edu/etd/3876.
Full textWijns, Christopher P. "Exploring conceptual geodynamic models : numerical method and application to tectonics and fluid flow." University of Western Australia. School of Earth and Geographical Sciences, 2005. http://theses.library.uwa.edu.au/adt-WU2005.0068.
Full textLux, Thomas Christian Hansen. "Interpolants, Error Bounds, and Mathematical Software for Modeling and Predicting Variability in Computer Systems." Diss., Virginia Tech, 2020. http://hdl.handle.net/10919/100059.
Full textDoctor of Philosophy
It is common for scientists to collect data on something they are studying. Often scientists want to create a (predictive) model of that phenomenon based on the data, but the choice of how to model the data is a difficult one to answer. This work proposes methods for modeling data that operate under very few assumptions that are broadly applicable across science. Finally, a software package is proposed that would allow scientists to better understand the true distribution of their data given relatively few observations.
Hohn, Jennifer Lynn. "Generalized Probabilistic Bowling Distributions." TopSCHOLAR®, 2009. http://digitalcommons.wku.edu/theses/82.
Full textPenzl, T. "Numerical solution of generalized Lyapunov equations." Universitätsbibliothek Chemnitz, 1998. http://nbn-resolving.de/urn:nbn:de:bsz:ch1-199800893.
Full textHeiter, Pascal Frederik [Verfasser]. "Curvature based criteria for slow invariant manifold computation: from differential geometry to numerical software implementations for model reduction in hydrocarbon combustion / Pascal Frederik Heiter." Ulm : Universität Ulm, 2017. http://d-nb.info/1131710533/34.
Full textAstorino, Matteo. "Interaction Fluide-Structure dans le Système Cardiovasculaire. Analyse Numérique et Simulation." Phd thesis, Université Pierre et Marie Curie - Paris VI, 2010. http://tel.archives-ouvertes.fr/tel-00845352.
Full textSkjerven, Brian M. "A parallel implementation of an agent-based brain tumor model." Link to electronic thesis, 2007. http://www.wpi.edu/Pubs/ETD/Available/etd-060507-172337/.
Full textKeywords: Visualization; Numerical analysis; Computational biology; Scientific computation; High-performance computing. Includes bibliographical references (p.19).
Burgos, Sylvestre Jean-Baptiste Louis. "The computation of Greeks with multilevel Monte Carlo." Thesis, University of Oxford, 2014. http://ora.ox.ac.uk/objects/uuid:6453a93b-9daf-4bfe-8c77-9cd6802f77dd.
Full textKarimli, Nigar. "Parameter Estimation and Optimal Design Techniques to Analyze a Mathematical Model in Wound Healing." TopSCHOLAR®, 2019. https://digitalcommons.wku.edu/theses/3114.
Full textMyers, Jeremy. "Computational Fluid Dynamics in a Terminal Alveolated Bronchiole Duct with Expanding Walls: Proof-of-Concept in OpenFOAM." VCU Scholars Compass, 2017. http://scholarscompass.vcu.edu/etd/5011.
Full textKimeu, Joseph M. "Fractional Calculus: Definitions and Applications." TopSCHOLAR®, 2009. http://digitalcommons.wku.edu/theses/115.
Full textZhao, Yue. "Modelling avian influenza in bird-human systems : this thesis is presented in the partial fulfillment of the requirement for the degree of Masters of Information Science in Mathematics at Massey University, Albany, New Zealand." Massey University, 2009. http://hdl.handle.net/10179/1145.
Full textKwizera, Petero. "Matrix Singular Value Decomposition." UNF Digital Commons, 2010. http://digitalcommons.unf.edu/etd/381.
Full textPerez, Luis G. "Development of a Methodology that Couples Satellite Remote Sensing Measurements to Spatial-Temporal Distribution of Soil Moisture in the Vadose Zone of the Everglades National Park." FIU Digital Commons, 2014. http://digitalcommons.fiu.edu/etd/1663.
Full textWojtacki, Kajetan Tomasz. "Coupling between transport, mechanical properties and degradation by dissolution of rock reservoir." Thesis, Montpellier, 2015. http://www.theses.fr/2015MONTS153/document.
Full textThe aim of this thesis is to analyse evolution of effective mechanical and transport properties of rock aquifer, which is subjected to progressive chemical degradation due to CO2 dissolution. The proposed study focuses on long-term and far field conditions, when degradation of porous matrix can be assumed to be homogeneous at sample scale. It is very well known that morphology of pore network and solid skeleton defines important macroscopic properties of the rock (permeability, stiffness). Therefore, modelling of such porous material should be based on morphological and statistical characterisation of investigated rocks. First of all, in order to obtain statistically equivalent representations of real specimen a reconstruction method inspired by natural process of sandstone formation is adapted. Then the selected generated samples satisfy morphological informations which are extracted by analysing microtomography of the natural rock sample. Secondly, a methodology to estimate effective mechanical properties of investigated material, based directly on binary images, is featured. Effective mechanical behaviour is obtain within the framework of periodic homogenization, However due to lack of geometrical periodicity two different approaches are used (reflectional symmetry of considered RVE and a fixed point method, using additional layer spread over the considered geometry). Evolution of permeability is estimated in classical way using upscaling method in the form of Darcy's law. Finally, chemical dissolution of material is tackled in a simplified way by performing morphological dilation of porous phase. Detailed analysis of chosen morphological descriptors evolution, triggered by modifications of microstructures is provided. The relation between morphological properties – permeability – elastic moduli is also provided. The methodology developed in this work could be easily applied to other heterogeneous materials
Sahama, Tony. "Some practical issues in the design and analysis of computer experiments." Thesis, Victoria University, Melbourne, 2003. https://eprints.qut.edu.au/60715/1/Sahama_2003compressed.pdf.
Full textWeil, Jacques-Arthur. "Méthodes effectives en théorie de Galois différentielle et applications à l'intégrabilité de systèmes dynamiques." Habilitation à diriger des recherches, Université de Limoges, 2013. http://tel.archives-ouvertes.fr/tel-00933064.
Full textMalmgren, Henrik. "Revision of an artificial neural network enabling industrial sorting." Thesis, Uppsala universitet, Institutionen för teknikvetenskaper, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-392690.
Full textOlivier, Géraldine. "Adaptation de maillage anisotrope par prescription de champ de métriques appliquée aux simulations instationnaires en géométrie mobile." Phd thesis, Université Pierre et Marie Curie - Paris VI, 2011. http://tel.archives-ouvertes.fr/tel-00739406.
Full text(9876842), T. Janz. "Irrigation scheduling : a mathematical model for water movement in cropped soils incorporating sink term and evaporation front." Thesis, 1992. https://figshare.com/articles/thesis/Irrigation_scheduling_a_mathematical_model_for_water_movement_in_cropped_soils_incorporating_sink_term_and_evaporation_front/13430102.
Full textMefford, Tim. "A parallel numerical computation of nucleon scattering from nuclei, including full spin coupling and coulomb forces." Thesis, 1995. http://hdl.handle.net/1957/34619.
Full textGraduation date: 1996
Goens, Jokisch Andres Wilhelm. "Improving Model-Based Software Synthesis: A Focus on Mathematical Structures." 2021. https://tud.qucosa.de/id/qucosa%3A74884.
Full textMárquez, Braconi Agustín Daniel. "Framework para aprendizaje activo." Bachelor's thesis, 2018. http://hdl.handle.net/11086/14276.
Full textMuchos proyectos de Machine Learning de la actualidad precisan de un gran número de datos etiquetados para poder entrenar los algoritmos. El etiquetado de los mismos tiene un gran costo tanto económico como de tiempo. Una solución a este problema es el Active Learning, una forma inteligente de seleccionar qué instancias etiquetar para maximizar el aprendizaje. Para facilitar esta tarea propongo realizar un framework de software que sirva para desplegar proyectos de este tipo. El framework desarrollado fue puesto a prueba logrando excelentes resultados, mostrando que a partir de un mismo conjunto de datos, si se seleccionan las instancias a etiquetar inteligentemente se puede lograr el rendimiento máximo con una cantidad considerablemente menor de ejemplos.
Many Machine Learning projects today require a large number of tagged data to train the algorithms. The labeling of them has a great cost both economic and time. A solution to this problem is Active Learning, an intelligent way to select which instances to label to maximize learning. To facilitate this task I propose to make a software framework that serves to deploy projects of this type. The developed framework was tested achieving excellent results, showing that from the same data set, if you select the instances to label intelligently you can achieve maximum performance with a considerably smaller number of examples.
Márquez Braconi, Agustín Daniel. Universidad Nacional de Córdoba. Facultad de Matemática, Astronomía, Física y Computación; Argentina.
Ulerich, Rhys David. "Reducing turbulence- and transition-driven uncertainty in aerothermodynamic heating predictions for blunt-bodied reentry vehicles." Thesis, 2014. http://hdl.handle.net/2152/26886.
Full texttext
Guidoum, Arsalane. "Conception d'un Pro Logiciel Interactif sous R pour la Simulation de Processus de Diffusion." Phd thesis, 2012. http://tel.archives-ouvertes.fr/tel-00735806.
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