Now showing items 77-96 of 170

    • The Markov chain Monte Carlo approach to importance sampling in stochastic programming 

      Ustun, Berk (Tevfik Berk) (Massachusetts Institute of Technology, 2012)
      Stochastic programming models are large-scale optimization problems that are used to facilitate decision-making under uncertainty. Optimization algorithms for such problems need to evaluate the expected future costs of ...
    • 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 ...
    • Methods for design optimization using high fidelity turbulent flow simulations 

      Talnikar, Chaitanya Anil (Massachusetts Institute of Technology, 2015)
      Design optimization with high-fidelity turbulent flow simulations can be challenging due to noisy and expensive objective function evaluations. The noise decays slowly as computation cost increases, therefore is significant ...
    • 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 ...
    • Modeling flow encountering abrupt topography using hybridizable discontinuous Galerkin projection methods 

      Vo, Johnathan Hiep (Massachusetts Institute of Technology, 2017)
      In this work novel high-order hybridizable discontinuous Galerkin (HDG) projection methods are further developed for ocean dynamics and geophysical fluid predictions. We investigate the effects of the HDG stabilization ...
    • 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 ...
    • Molecular dynamics-based approaches for mesoscale lubrication 

      Chandramoorthy, Nisha (Massachusetts Institute of Technology, 2016)
      Classical lubrication theory is unable to describe nanoscale flows due to the failure of two of its constitutive components: a) the Newtonian stress-strain rate relationship and b) the no-slip boundary condition. In this ...
    • Mouse behavior recognition with the wisdom of crowd 

      Ni, Yuzhao (Massachusetts Institute of Technology, 2013)
      In this thesis, we designed and implemented a crowdsourcing system to annotate mouse behaviors in videos; this involves the development of a novel clip-based video labeling tools, that is more efficient than traditional ...
    • MPI-based scalable computing platform for parallel numerical application 

      Albaiz, Abdulaziz (Abdulaziz Mohammad) (Massachusetts Institute of Technology, 2014)
      Developing parallel numerical applications, such as simulators and solvers, involves a variety of challenges in dealing with data partitioning, workload balancing, data dependencies, and synchronization. Many numerical ...
    • 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, Ph. D. Massachusetts Institute of Technology. Department Electrical Engineering and Computer Science. (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 ...
    • 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 ...
    • 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 ...
    • Multiscale Dynamic Time and Space Warping 

      Fitriani (Massachusetts Institute of Technology, 2008)
      Dynamic Time and Space Warping (DTSW) is a technique used in video matching applications to find the optimal alignment between two videos. Because DTSW requires O(N4) time and space complexity, it is only suitable for short ...