Now showing items 14-33 of 170

    • Banded matrices with banded inverses 

      Srinivasa Gopala Raghavan, Venugopalan (Massachusetts Institute of Technology, 2010)
      We discuss the conditions that are necessary for a given banded matrix to have a banded inverse. Although a generic requirement is known from previous studies, we tend to focus on the ranks of the block matrices that are ...
    • A Bayesian approach to feed reconstruction 

      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 ...
    • Blast mitigation strategies for vehicles using shape optimization methods 

      Gurumurthy, Ganesh (Massachusetts Institute of Technology, 2008)
      This thesis is concerned with the study of blast effects on vehicular structures. The specific problem of a point source blast originating under the vehicle hull is considered, and its impact on the solid body is measured ...
    • Blast overpressure relief using air vacated buffer medium 

      Avasarala, Srikanti Rupa (Massachusetts Institute of Technology, 2009)
      Blast waves generated by intense explosions cause damage to structures and human injury. In this thesis, a strategy is investigated for relief of blast overpressure resulting from explosions in air. The strategy is based ...
    • Characterization of unsteady loading due to impeller-diffuser interaction in centrifugal compressors 

      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 ...
    • Cheeger sets for unit cube : analytical and numerical solutions for L [infinity] and L² norms 

      Hussain, Mohammad Tariq (Massachusetts Institute of Technology, 2008)
      The Cheeger constant h(Q) of a domain Q is defined as the minimum value of ...... with D varying over all smooth sub-domains of Q. The D that achieves this minimum is called the Cheeger set of Q. We present some analytical ...
    • Chemistry models for major gas species estimation and tar prediction in fluidized bed biomass gasification 

      Sridhar, Rajesh (Massachusetts Institute of Technology, 2016)
      The present work deals with the process of fluidized bed biomass gasification (FBBG), which is the thermochemical conversion of solid biomass into combustible synthetic gas using a fluidized bed. Fluidized bed gasifiers ...
    • Combining local and global optimization for planning and control in information space 

      Huynh, Vu Anh (Massachusetts Institute of Technology, 2008)
      This thesis presents a novel algorithm, called the parametric optimized belief roadmap (POBRM), to address the problem of planning a trajectory for controlling a robot with imperfect state information under uncertainty. ...
    • A comparison of discrete and flow-based models for air traffic flow management 

      Phu, Thi Vu (Massachusetts Institute of Technology, 2008)
      The steady increase of congestion in air traffic networks has resulted in significant economic losses and potential safety issues in the air transportation. A potential way to reduce congestion is to adopt efficient air ...
    • Complex systems and a computational social science perspective on the labor market 

      Almaatouq, Abdullah Mohammed (Massachusetts Institute of Technology, 2016)
      Labor market institutions are central for modern economies, and their polices can directly affect unemployment rates and economic growth. At the individual level, unemployment often has a detrimental impact on people's ...
    • A computational approach to urban economics 

      Chong, Shi Kai. (Massachusetts Institute of Technology, 2018)
      Cities are home to more than half of the world population today and urbanization is one of this century's biggest drivers of global economic growth. The dynamics of the urban environment is thus an important question to ...
    • Computational design and optimization of infrastructure policy in water and agriculture 

      Alhassan, Abdulaziz (Abdulaziz Abdulrahman) (Massachusetts Institute of Technology, 2017)
      Investments in infrastructure tend to be associated with high capital costs, creating a necessity for tools to prioritize and evaluate different infrastructure investment options. This thesis provides a survey of computational ...
    • Computational experiments for local search algorithms for binary and mixed integer optimization 

      Zhou, Jingting, S.M. Massachusetts Institute of Technology (Massachusetts Institute of Technology, 2010)
      In this thesis, we implement and test two algorithms for binary optimization and mixed integer optimization, respectively. We fine tune the parameters of these two algorithms and achieve satisfactory performance. We also ...
    • Computational issues and related mathematics of an exponential annealing homotropy for conic optimization 

      Chen, Jeremy, S.M. Massachusetts Institute of Technology (Massachusetts Institute of Technology, 2007)
      We present a further study and analysis of an exponential annealing based algorithm for convex optimization. We begin by developing a general framework for applying exponential annealing to conic optimization. We analyze ...
    • Computational modeling of crack initiation in cross-role piercing 

      Chiluveru, Sudhir (Massachusetts Institute of Technology, 2007)
      Thle Mannesmann process is the preferred method in the oil industry for fabrication of hollow pipes. The critical phenomenon in this process is the formation of a small round hole at the center of the cylindrical billet ...
    • Computational tools for enabling longitudinal skin image analysis 

      Lee, Kang Qi Ian (Massachusetts Institute of Technology, 2016)
      We present a set of computational tools that enable quantitative analysis of longitudinally acquired skin images: the assessment and characterization of the evolution of skin features over time. A framework for time-lapsed ...
    • Convergence of regulatory mutations into oncogenic pathways across multiple tumor types 

      Murugadoss, Karthik (Massachusetts Institute of Technology, 2017)
      Cancer sequencing efforts have largely focused on profiling somatic variants in the protein-coding genome and characterizing their functional impact. In this study, we develop a computational pipeline to identify non-coding ...
    • The crane split and sequencing problem with clearance and yard congestion constraints in container terminal ports 

      Choo, Shawn (Shawn Sheng Wen) (Massachusetts Institute of Technology, 2006)
      One of the steps in stowage planning is crane split and sequencing, which determines the order of container discharging and loading jobs quay cranes (QCs) perform so that the completion time (or makespan) of ship operation ...
    • Data-driven models for reliability prognostics of gas turbines 

      Kumar, Gaurev (Massachusetts Institute of Technology, 2015)
      This thesis develops three data-driven models of a commercially operating gas turbine, and applies inference techniques for reliability prognostics. The models focus on capturing feature signals (continuous state) and ...
    • Data-driven revenue management 

      Uichanco, Joline Ann Villaranda (Massachusetts Institute of Technology, 2007)
      In this thesis, we consider the classical newsvendor model and various important extensions. We do not assume that the demand distribution is known, rather the only information available is a set of independent samples ...