Now showing items 104-123 of 174

    • Numerical approaches to optimize dispatch on microgrids with energy storage 

      Xie, Lutao (Massachusetts Institute of Technology, 2016)
      Microgrids and distributed generation are predicted to become extremely dominant in developing nations, and will be largely beneficial to both electricity suppliers and consumers. With the penetration of renewable energy ...
    • Numerical simulations of perforated plate stabilized premixed flames with detailed chemistry 

      Kedia, Kushal Sharad (Massachusetts Institute of Technology, 2010)
      The objective of this work is to develop a high efficiency two-dimensional reactive flow solver to investigate perforated-plate stabilized laminar premixed flames. The developed code is used to examine the impact of the ...
    • On the computation of probabilities and eigenvalues for random and non-random matrices 

      Peruvamba Sundaresh, Vignesh (Massachusetts Institute of Technology, 2009)
      Can you imagine doing hundreds of millions of operations on non-integers and not obtaining a single round-off error? For n < 12, the algorithm used in this thesis does exactly that. We took advantage of a floating point ...
    • On the effect and value of information in Bayesian routing games 

      Liu, Jeffrey, Ph.D. Massachusetts Institute of Technology (Massachusetts Institute of Technology, 2015)
      We consider the problem of estimating individual and social value of information in routing games. We propose a Bayesian congestion game that accounts for the heterogeneity in the commuters' access to information about ...
    • On the Gap-Tooth direct simulation Monte Carlo method 

      Armour, Jessica D (Massachusetts Institute of Technology, 2012)
      This thesis develops and evaluates Gap-tooth DSMC (GT-DSMC), a direct Monte Carlo simulation procedure for dilute gases combined with the Gap-tooth method of Gear, Li, and Kevrekidis. The latter was proposed as a means of ...
    • On the predictive capability and stability of rubber material models 

      Zheng, Haining (Massachusetts Institute of Technology, 2008)
      Due to the high non-linearity and incompressibility constraint of rubber materials, the predictive capability and stability of rubber material models require specific attention for practical engineering analysis. In this ...
    • Optimal approximations of coupling in multidisciplinary models 

      Santos Baptista, Ricardo Miguel (Massachusetts Institute of Technology, 2017)
      Design of complex engineering systems requires coupled analyses of the multiple disciplines affecting system performance. The coupling among disciplines typically contributes significantly to the computational cost of ...
    • Optimal Bayesian experimental design in the presence of model error 

      Feng, Chi, S.M. Massachusetts Institute of Technology (Massachusetts Institute of Technology, 2015)
      The optimal selection of experimental conditions is essential to maximizing the value of data for inference and prediction. We propose an information theoretic framework and algorithms for robust optimal experimental design ...
    • Optimal corporate investment and financing policies with time-varying investment opportunities 

      Cai, Linjiang (Massachusetts Institute of Technology, 2011)
      Bolton, Chen and Wang (2009) propose a model (the BCW model) of dynamic corporate investment, financing, and risk management for a financially constrained firm. In the BCW model, corporate risk management is a combination ...
    • Optimal operating strategy for a storage facility 

      Zhai, Ning (Massachusetts Institute of Technology, 2008)
      In the thesis, I derive the optimal operating strategy to maximize the value of a storage facility by exploiting the properties in the underlying natural gas spot price. To achieve the objective, I investigate the optimal ...
    • Optimal reservoir operation using stochastic model predictive control 

      Sahu, Reetik Kumar (Massachusetts Institute of Technology, 2016)
      Dynamical systems are subjected to various random external forcings that complicate theie control. In order to achieve optimal performance, these systems need to continually adapt to external disturbances in real time. ...
    • Optimization for recipe-based, diet-planning inventory management 

      Kang, Sheng (Massachusetts Institute of Technology, 2010)
      This thesis presents a new modeling framework and research methodology for the study of recipe-based, diet-planning inventory management. The thesis begins with an exploration on the classic optimization problem - the diet ...
    • Optimization of ship-pack in a two-echelon distribution system 

      Wen, Naijun (Massachusetts Institute of Technology, 2010)
      The traditional Economic Order Quantity (EOQ) model ignores the physical limitations of distribution practices. Very often distribution centers (DC) have to deliver merchandise in manufacturer-specified packages, which can ...
    • Optimizing beer distribution game order policy using numerical simulations 

      Xiao, Qinwen (Massachusetts Institute of Technology, 2009)
      One of the major challenges in supply chain management is the level of information availability. It is very hard yet important to coordinate each stage in the supply chain when the information is not centralized and the ...
    • Parameter and state model reduction for Bayesian statistical inverse problems 

      Lieberman, Chad Eric (Massachusetts Institute of Technology, 2009)
      Decisions based on single-point estimates of uncertain parameters neglect regions of significant probability. We consider a paradigm based on decision-making under uncertainty including three steps: identification of ...
    • Particle filtering with Lagrangian data in a point vortex model 

      Mitra, Subhadeep (Massachusetts Institute of Technology, 2012)
      Particle filtering is a technique used for state estimation from noisy measurements. In fluid dynamics, a popular problem called Lagrangian data assimilation (LaDA) uses Lagrangian measurements in the form of tracer positions ...
    • Physics-based machine learning and data-driven reduced-order modeling 

      Swischuk, Renee C.(Renee Copland) (Massachusetts Institute of Technology, 2019)
      This thesis considers the task of learning efficient low-dimensional models for dynamical systems. To be effective in an engineering setting, these models must be predictive -- that is, they must yield reliable predictions ...
    • Polynomial policies in supply chain networks 

      He, Liwei (Massachusetts Institute of Technology, 2010)
      This thesis aims to solve the periodic-reviewed inventory control problem in supply chain networks with uncertain demand so as to minimize the overall cost of the system over a fixed planning time horizon. In such problems, ...
    • Pre-bid network analysis for transportation procurement auction under stochastic demand 

      Wang, Qian (Massachusetts Institute of Technology, 2007)
      Transportation procurement is one of the most critical sourcing decisions to be made in many companies. This thesis addresses a real-life industrial problem of creating package bids for a company's transportation procurement ...
    • A preconditioned Newton-Krylov method for computing steady-state pulse solutions of mode-locked lasers 

      Birge, Jonathan R. (Jonathan Richards) (Massachusetts Institute of Technology, 2008)
      We solve the periodic boundary value problem for a mode-locked laser cavity using a specially preconditioned matrix-implicit Newton-Krylov solver. Solutions are obtained at least an order of magnitude faster than with ...