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Channel: Computation for Design and Optimization - Master's degree
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Multi-parameter estimation in glacier models with adjoint and algorithmic...

Multi-parameter estimation in glacier models with adjoint and algorithmic differentiation Davis, Andrew D. (Andrew Donaldson) The cryosphere is comprised of about 33 million km³ of ice, which...

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Characterization of unsteady loading due to impeller-diffuser interaction in...

Characterization of unsteady loading due to impeller-diffuser interaction in centrifugal compressors Lusardi, Christopher (Christopher Dean) Time dependent simulations are used to characterize the...

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Particle filtering with Lagrangian data in a point vortex model

Particle filtering with Lagrangian data in a point vortex model Mitra, Subhadeep Particle filtering is a technique used for state estimation from noisy measurements. In fluid dynamics, a popular...

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Adjoint sensitivity analysis of the intercontinental impacts of aviation...

Adjoint sensitivity analysis of the intercontinental impacts of aviation emissions on air quality and health Koo, Jamin Over 10,000 premature mortalities per year globally are attributed to the...

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Improving the efficiency of an automated manufacturing system through a...

Improving the efficiency of an automated manufacturing system through a tri-part approach Song, Chen, S.M. Massachusetts Institute of Technology This research investigates a complex automated...

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A reduced-basis method for input-output uncertainty propagation in stochastic...

A reduced-basis method for input-output uncertainty propagation in stochastic PDEs Vidal Codina, Ferran Recently there has been a growing interest in quantifying the effects of random inputs in the...

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A scalable methodology for modeling cities as systems of systems

A scalable methodology for modeling cities as systems of systems Wachtel, Amanda M. (Amanda Marie) As cities evolve in size and complexity, their component systems become more interconnected....

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Setting optimal production lot sizes and planned lead times in a job shop system

Setting optimal production lot sizes and planned lead times in a job shop system Yuan, Rong, S.M. Massachusetts Institute of Technology In this research we model a job shop that produces a set of...

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The Markov chain Monte Carlo approach to importance sampling in stochastic...

The Markov chain Monte Carlo approach to importance sampling in stochastic programming Ustun, Berk (Tevfik Berk) Stochastic programming models are large-scale optimization problems that are used to...

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Approximation of the transient joint queue-length distribution in tandem...

Approximation of the transient joint queue-length distribution in tandem networks Yamani, Jana H. (Jana Hashim) This work considers an urban traffic network, and represents it as a Markovian queueing...

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A thread-based parallel programming library for numerical algorithms

A thread-based parallel programming library for numerical algorithms Alhubail, Maitham Makki This thesis presents a new simple lightweight C++ thread based parallelization library, intended for use in...

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High-dimensional design space visualization for conceptual structural design

High-dimensional design space visualization for conceptual structural design Mueller, Caitlin T This thesis focuses on visualizing high-dimensional design spaces for early-stage design problems in...

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MPI-based scalable computing platform for parallel numerical application

MPI-based scalable computing platform for parallel numerical application Albaiz, Abdulaziz (Abdulaziz Mohammad) Developing parallel numerical applications, such as simulators and solvers, involves a...

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Robust adaptive high-order RANS methods

Robust adaptive high-order RANS methods Kudo, Jun, S.M. Massachusetts Institute of Technology The ability to achieve accurate predictions of turbulent flow over arbitrarily complex geometries proves...

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Energy optimal path planning using stochastic dynamically orthogonal level...

Energy optimal path planning using stochastic dynamically orthogonal level set equations Narayanan Subramani, Deepak The growing use of autonomous underwater vehicles and underwater gliders for a...

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An analysis on information diffusion by retweets in Twitter

An analysis on information diffusion by retweets in Twitter Sakamoto, Tomoaki This dissertation examines retweeting activities as the information spreading function of Twitter. First, we investigated...

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Optimal Bayesian experimental design in the presence of model error

Optimal Bayesian experimental design in the presence of model error Feng, Chi, S.M. Massachusetts Institute of Technology The optimal selection of experimental conditions is essential to maximizing the...

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Automatic design tool for robust radio frequency decoupling matrices in...

Automatic design tool for robust radio frequency decoupling matrices in magnetic resonance imaging Mahmood, Zohaib In this thesis we study the design of robust decoupling matrices for coupled transmit...

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Reduced-space Gaussian process regression forecast for nonlinear dynamical...

Reduced-space Gaussian process regression forecast for nonlinear dynamical systems Wan, Zhong Yi, S.M. Massachusetts Institute of Technology In this thesis work, we formulate a reduced-order...

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Numerical approaches to optimize dispatch on microgrids with energy storage

Numerical approaches to optimize dispatch on microgrids with energy storage Xie, Lutao Microgrids and distributed generation are predicted to become extremely dominant in developing nations, and will...

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