Computation for Design and Optimization (CDO)
Intensive Computation for Design and Optimization (CDO) has
become an essential activity in such diverse areas as
telecommunications, imaging, guidance/control, the Internet,
aerospace design, micromachined devices, distribution networks,
traffic management, air transport, web-based retailing, the
electric power grid, and manufacturing scheduling. Effective
computation produces shorter design cycle times, higher-quality
products, and improved functionality.
The MIT CDO program offers a unified treatment of the computational aspects of complex engineered systems. Through hands-on projects and a master's thesis, students develop and apply advanced computational methods to a diverse range of applications, from aerospace to nanotechnology, from Internet protocols to telecommunications system design. Career opportunities for CDO graduates include companies and research centers where systems modeling, numerical simulation, design and optimization play a critical role.
The MIT CDO program educates students in the formulation, analysis, implementation, and application of computational approaches to designing and operating engineered systems, emphasizing:
- Breadth through introductory courses in numerical analysis and simulation, optimization, and applied probability
- Depth in optimization methods and numerical methods for partial differential equations
- Multidisciplinary aspects of computation
- Hands-on experience through projects, assignments, and a
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Working papers relevant to CDO.
Prediction of velocity distribution from the statistics of pore structure in 3D porous media via high-fidelity pore-scale simulation (Massachusetts Institute of Technology, 2017)Fluid flow and particle transport through porous media are determined by the geometry of the host medium itself. Despite the fundamental importance of the velocity distribution in controlling early-time and late-time ...
Modeling flow encountering abrupt topography using hybridizable discontinuous Galerkin projection methods (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 ...
(Massachusetts Institute of Technology, 2017)This thesis studies the effects of heterogeneous information on traffic equilibria and the resulting travel costs (both individual and social) when commuters make departure time choices to cross an unreliable bottleneck ...