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Browsing Computation for Design and Optimization - Master's degree by Title

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Browsing Computation for Design and Optimization - Master's degree by Title

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  • A generalized precorrected-FFT method for electromagnetic analysis 
    Leibman, Stephen Gerald (Massachusetts Institute of Technology, 2008)
    Boundary Element Methods (BEM) can be ideal approaches for simulating the behavior of physical systems in which the volumes have homogeneous properties. These, especially the so-called "fast" or "accelerated" BEM approaches ...
  • Graduate school introductory computational simulation course pedagogy 
    Proctor, Laura L. (Laura Lynne), 1975- (Massachusetts Institute of Technology, 2009)
    Numerical methods and algorithms have developed and matured vastly over the past three decades now that computational analysis can be performed on almost any personal computer. There is a need to be able to teach and present ...
  • Impact of carbon emission regulatory policies on the electricity market : a simulation study 
    Tiwari, Sandeep, S.M. Massachusetts Institute of Technology (Massachusetts Institute of Technology, 2010)
    With ever rising concerns regarding global warming and other dangerous effects of CO2 , there had been efforts to reduce CO2 emissions all around the world by adopting more efficient technologies and alternate green or ...
  • Impact of triangle shapes using high-order discretizations and direct mesh adaptation for output error 
    Sun, Huafei (Massachusetts Institute of Technology, 2009)
    The impact of triangle shapes, including angle sizes and aspect ratios, on accuracy and stiffness is investigated for simulations of highly anisotropic problems. The results indicate that for high-order discretizations, ...
  • An investigation of the perfectly matched layer for inhomogeneous media 
    Oskooi, Ardavan F (Massachusetts Institute of Technology, 2008)
    Although perfectly matched layers (PMLs) have been widely used to truncate numerical simulations of electromagnetism and other wave equations, we point out important cases in which a PML fails to be reflectionless even in ...
  • Iterative algorithms for a joint pricing and inventory control problem with nonlinear demand functions 
    Mazumdar, Anupam, S.M. Massachusetts Institute of Technology (Massachusetts Institute of Technology, 2009)
    Price management, production planning and inventory control are important determinants of a firm's profitability. The intense competition brought about by rapid innovation, lean manufacturing time and the internet revolution ...
  • Lagrangian methods for ballistic impact simulations/ 
    Tupek, Michael Ronne (Massachusetts Institute of Technology, 2010)
    This thesis explores various Lagrangian methods for simulating ballistic impact with the ultimate goal of finding a universal, robust and scalable computational framework to assist in the design of armor systems. An overview ...
  • A linear multigrid preconditioner for the solution of the Navier-Stokes equations using a discontinuous Galerkin discretization 
    Diosady, Laslo Tibor (Massachusetts Institute of Technology, 2007)
    A Newton-Krylov method is developed for the solution of the steady compressible Navier-Stokes equations using a Discontinuous Galerkin (DG) discretization on unstructured meshes. An element Line-Jacobi preconditioner is ...
  • Logistic regression for a better matching of buyers and suppliers in e-procurement 
    Tian, Shuo, S.M. Massachusetts Institute of Technology (Massachusetts Institute of Technology, 2010)
    The thesis aims to provide a way to identify better matches between buyers and suppliers who are using an e-procurement platform provided by a US based worldwide online market company. The goal is to enhance the shopping ...
  • Loss of coordination in competitive supply chains 
    Teo, Koon Soon (Massachusetts Institute of Technology, 2009)
    The loss of coordination in supply chains quantifies the inefficiency (i.e. the loss of total profit) due to the presence of competition in the supply chain. In this thesis, we discuss four models: one model with multiple ...
  • Low rank decompositions for sum of squares optimization 
    Sun, Jia Li, S.M. Massachusetts Institute of Technology (Massachusetts Institute of Technology, 2006)
    In this thesis, we investigate theoretical and numerical advantages of a novel representation for Sum of Squares (SOS) decomposition of univariate and multivariate polynomials. This representation formulates a SOS problem ...
  • Low rank matrix completion 
    Nan, Feng, S.M. Massachusetts Institute of Technology (Massachusetts Institute of Technology, 2009)
    We consider the problem of recovering a low rank matrix given a sampling of its entries. Such problems are of considerable interest in a diverse set of fields including control, system identification, statistics and signal ...
  • LP-based subgradient algorithm for joint pricing and inventory control problems 
    Rao, Tingting (Massachusetts Institute of Technology, 2008)
    It is important for companies to manage their revenues and -reduce their costs efficiently. These goals can be achieved through effective pricing and inventory control strategies. This thesis studies a joint multi-period ...
  • Massively parallel solver for the high-order Galerkin Least-Squares method 
    Yano, Masayuki, Ph. D. Massachusetts Institute of Technology (Massachusetts Institute of Technology, 2009)
    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 ...
  • Methods and applications in computational protein design 
    Biddle, Jason Charles (Massachusetts Institute of Technology, 2010)
    In this thesis, we summarize our work on applications and methods for computational protein design. First, we apply computational protein design to address the problem of degradation in stored proteins. Specifically, we ...
  • Modeling the semiconductor industry dynamics 
    Wu, Kailiang (Massachusetts Institute of Technology, 2008)
    The semiconductor industry is an exciting and challenging industry. Strong demand at the application end, plus the high capital intensity and rapid technological innovation in manufacturing, makes it difficult to manage ...
  • Modeling travel time uncertainty in traffic networks 
    Chen, Daizhuo (Massachusetts Institute of Technology, 2010)
    Uncertainty in travel time is one of the key factors that could allow us to understand and manage congestion in transportation networks. Models that incorporate uncertainty in travel time need to specify two mechanisms: ...
  • Modelling pandemic influenza progression using Spatiotemporal Epidemiological Modeller (STEM) 
    Zhang, Hui, S.M. Massachusetts Institute of Technology (Massachusetts Institute of Technology, 2009)
    The purpose of this project is to incorporate a Poisson disease model into the Spatiotemporal Epidemiological Modeler (STEM) and visualize the disease spread on Google Earth. It is done through developing a Poisson disease ...
  • Model reduction for dynamic sensor steering : a Bayesian approach to inverse problems 
    Wogrin, Sonja (Massachusetts Institute of Technology, 2008)
    In many settings, distributed sensors provide dynamic measurements over a specified time horizon that can be used to reconstruct information such as parameters, states or initial conditions. This estimation task can be ...
  • Model simplification of chemical kinetic systems under uncertainty 
    Coles, Thomas Michael Kyte (Massachusetts Institute of Technology, 2011)
    This thesis investigates the impact of uncertainty on the reduction and simplification of chemical kinetics mechanisms. Chemical kinetics simulations of complex fuels are very computationally expensive, especially when ...
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