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Browsing Computation for Design and Optimization (CDO) by Title

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Browsing Computation for Design and Optimization (CDO) by Title

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  • 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 ...
  • Multilevel spectral clustering : graph partitions and image segmentation 
    Kong, Tian Fook (Massachusetts Institute of Technology, 2008)
    While the spectral graph partitioning method gives high quality segmentation, segmenting large graphs by the spectral method is computationally expensive. Numerous multilevel graph partitioning algorithms are proposed to ...
  • Multi-objective constrained optimization for decision making and optimization for system architectures 
    Lin, Maokai (Massachusetts Institute of Technology, 2010)
    This thesis proposes new methods to solve three problems: 1) how to model and solve decision-making problems, 2) how to translate between a graphical representation of systems and a matrix representation of systems, and ...
  • Multi-parameter estimation in glacier models with adjoint and algorithmic differentiation 
    Davis, Andrew D. (Andrew Donaldson) (Massachusetts Institute of Technology, 2012)
    The cryosphere is comprised of about 33 million km³ of ice, which corresponds to 70 meters of global mean sea level equivalent [30]. Simulating continental ice masses, such as the Antarctic or Greenland Ice Sheets, requires ...
  • Multi-period optimal network flow and pricing strategy for commodity online retailer 
    Wang, Jie, S.M. Massachusetts Institute of Technology (Massachusetts Institute of Technology, 2009)
    This thesis aims to study the network of a nationwide distributor of a commodity product. As we cannot disclose the actual product for competitive reasons, we will present the research in terms of a similar, representative ...
  • Multi-period pricing for perishable products : uncertainty and competition 
    Zhang, Lei (Lei Kevin), S.M. Massachusetts Institute of Technology, Computation for Design and Optimization Program. (Massachusetts Institute of Technology, 2006)
    The pricing problem in a multi-period setting is a challenging problem and has attracted much attention in recent years. In this thesis, we consider a monopoly and an oligopoly pricing problem. In the latter, several sellers ...
  • A multiple secretary problem with switch costs 
    Ding, Jiachuan (Massachusetts Institute of Technology, 2007)
    In this thesis, we utilize probabilistic reasoning and simulation methods to determine the optimal selection rule for the secretary problem with switch costs, in which a known number of applicants appear sequentially in a ...
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