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Browsing Computation for Design and Optimization (CDO) by Issue Date

Research and Teaching Output of the MIT Community

Browsing Computation for Design and Optimization (CDO) by Issue Date

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  • Sakamoto, Tomoaki (Massachusetts Institute of Technology, 2015)
    This dissertation examines retweeting activities as the information spreading function of Twitter. First, we investigated what kind of features of a tweet help to get retweets. We construct a model that describes peoples' ...
  • Mahmood, Zohaib (Massachusetts Institute of Technology, 2015)
    In this thesis we study the design of robust decoupling matrices for coupled transmit radio frequency arrays used in magnetic resonance imaging (MRI). In a coupled parallel transmit array, because of the coupling itself, ...
  • 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 ...
  • 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 ...
  • Alhubail, Maitham Makki (Massachusetts Institute of Technology, 2014)
    This thesis presents a new simple lightweight C++ thread based parallelization library, intended for use in numerical algorithms. It provides simple multitasking and task synchronization functions. The library hides all ...
  • Mueller, Caitlin T (Massachusetts Institute of Technology, 2014)
    This thesis focuses on visualizing high-dimensional design spaces for early-stage design problems in structural engineering and related disciplines. The design space, which is defined as the n + 1-dimensional surface that ...
  • Kudo, Jun, S.M. Massachusetts Institute of Technology (Massachusetts Institute of Technology, 2014)
    The ability to achieve accurate predictions of turbulent flow over arbitrarily complex geometries proves critical in the advancement of aerospace design. However, quantitatively accurate results from modern Computational ...
  • Narayanan Subramani, Deepak (Massachusetts Institute of Technology, 2014)
    The growing use of autonomous underwater vehicles and underwater gliders for a variety of applications gives rise to new requirements in the operation of these vehicles. One such important requirement is optimization of ...
  • Vidal Codina, Ferran (Massachusetts Institute of Technology, 2013)
    Recently there has been a growing interest in quantifying the effects of random inputs in the solution of partial differential equations that arise in a number of areas, including fluid mechanics, elasticity, and wave ...
  • Bolin, Christopher E. (Christopher Eric) (Massachusetts Institute of Technology, 2013)
    Life cycle assessment (LCA) is one methodology for assessing a product's impact on the environment. LCA has grown in popularity recently as consumers and governments request more information concerning the environmental ...
  • Conjeevaram Krishnakumar, Naveen Kartik (Massachusetts Institute of Technology, 2013)
    In this thesis, we developed a Bayesian approach to estimate the detailed composition of an unknown feedstock in a chemical plant by combining information from a few bulk measurements of the feedstock in the plant along ...
  • Abramovich, Michael (Massachusetts Institute of Technology, 2013)
    In the airline industry, spill refers to passenger demand turned away from a flight because demand has exceeded capacity. The accurate estimation of spill and the lost revenue it implies is an important parameter in airline ...
  • 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 ...
  • Song, Chen, S.M. Massachusetts Institute of Technology (Massachusetts Institute of Technology, 2013)
    This research investigates a complex automated manufacturing system at three levels to improve its efficiency. In the system there are parallel loops of stations connected by a single closed conveyor. In each loop there ...
  • Wachtel, Amanda M. (Amanda Marie) (Massachusetts Institute of Technology, 2013)
    As cities evolve in size and complexity, their component systems become more interconnected. Comprehensive modeling and simulation is needed to capture interactions and correctly assess the impact of changes. This thesis ...
  • Yamani, Jana H. (Jana Hashim) (Massachusetts Institute of Technology, 2013)
    This work considers an urban traffic network, and represents it as a Markovian queueing network. This work proposes an analytical approximation of the time-dependent joint queue-length distribution of the network. The ...
  • Yuan, Rong, S.M. Massachusetts Institute of Technology (Massachusetts Institute of Technology, 2013)
    In this research we model a job shop that produces a set of discrete parts in a make-to-stock setting. The intent of the research is to develop a planning model to determine the optimal operating tactics that minimize the ...
  • Lusardi, Christopher (Christopher Dean) (Massachusetts Institute of Technology, 2012)
    Time dependent simulations are used to characterize the unsteady impeller blade loading due to imipeller-diffuser interaction in centrifugal compressor stages. The capability of simulations are assessed by comparing results ...
  • 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 ...
  • 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 ...
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