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Institution:
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Massachusetts Institute of Technology
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Subject:
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Description:
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Covers the modern main results of random matrix theory as it is currently applied in engineering and science. Topics include matrix calculus for finite and infinite matrices (e.g., Wigner's semi-circle and Marcenko-Pastur laws), free probability, random graphs, combinatorial methods, matrix statistics, stochastic operators, passage to the continuum limit, moment methods, and compressed sensing. Knowledge of MATLAB hepful, but not required.
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Credits:
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3.00
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Credit Hours:
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Prerequisites:
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Prereq: 18.701 or permission of instructor
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Corequisites:
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Exclusions:
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Level:
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Instructional Type:
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Lecture
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Notes:
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Additional Information:
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Historical Version(s):
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Institution Website:
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Phone Number:
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(617) 253-1000
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Regional Accreditation:
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New England Association of Schools and Colleges
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Calendar System:
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Four-one-four plan
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