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Numerical analysis / Mathematical physics / Markov models / Matrix theory / Low-discrepancy sequence / Markov chain / Quasi-Monte Carlo method / Eigenvalues and eigenvectors / Matrix / Mathematics / Algebra / Linear algebra


A Parallel Quasi-Monte Carlo Method for Computing Extremal Eigenvalues Michael Mascagni1 and Aneta Karaivanova1,2 1 Florida State University, Department of Computer Science, Tallahassee, FL
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Document Date: 2003-10-07 17:29:16


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City

Tallahassee / /

Company

Compaq / Wm fk nV / Matrix Computations Let us / Central Laboratory / The star / /

Country

United States / /

Facility

SPRNG library / Florida State University / /

IndustryTerm

parallel computing / computing / scalar product / /

Organization

Department of Computer Science / Florida State University / Bulgarian Academy of Sciences / /

Person

Michael Mascagni / Ai / Aneta Karaivanova Table / /

Product

Sobo / /

ProgrammingLanguage

FL / R / T / /

ProvinceOrState

Florida / /

Technology

Alpha / quasi-Monte Carlo algorithm / simulation / Parallel Processing / 8 DS10 processors / Monte Carlo algorithms / power Monte Carlo algorithm / /

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