Faculty

Institution

Unit

Venue

Ricardo D. Fierro

California State University, San Marcos

Affiliations

College of Science, Technology, Engineering and Mathematics

Department Of Mathematics

NoneRicardo D. Fierro is currently serving as a College Of Science, Technology, Engineering And Mathematics faculty at California State University, San Marcos.

Honors

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Experiences

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Education

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Ricardo D. Fierro

California State University, San Marcos

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applied mathematics numerical linear algebra linear algebra numerical algorithms low-rank approximation mathematics numerical analysis computational mathematics numerical mathematics computer science information retrieval pattern recognition spectral theory matrix analysis scientific computing numerical computation matrix theory matrix methods information retrieval applications total least squares riemannian svd utv tools chemical engineering water purification spectroscopy water science nuclear science clean water image representation granular computing numerical simulations mathematical optimization machine learning research convex analysis statistical software computational statistics discrete algorithms proton transfer perturbation methods linear operators ranking algorithms principal component analysis applied algebra semi-definite optimization validated numerics sparse representations signal reconstruction dimensionality reduction multidimensional signal processing algorithmic library algorithmic information theory low-rank orthogonal decompositions fast removal tsvd solutions orthogonal projection methods perturbation theory constant-false-alarm-rate algorithm special-purpose rank-revealing algorithms utv expansion pack orthogonal projection vsv solutions efficient computation householder transformations

Notable Scholarly Works

Notable Federal Grants

Collaborators

Utv Expansion Pack: Special-Purpose Rank-Revealing Algorithms. Numerical Algorithms (2005)

Ricardo D. FierroPer Christian Hansen

mathematical optimizationnumerical analysisscientific computingmachine learning researchranking algorithmsnumerical mathematicscomputer sciencenumerical algorithmsspecial-purpose rank-revealing algorithmsnumerical computationutv expansion packnumerical linear algebra

Lanczos and the Riemannian Svd in Information Retrieval Applications. Numerical Linear Algebra with Applications (2004)

Ricardo D. FierroEric P. Jiang

information retrieval applicationsapplied mathematicsriemannian svdinformation retrievalnumerical linear algebra

Efficient Computation of the Riemannian Svd in Total Least Squares Problems in Information Retrieval. Springer eBooks (2002)

Ricardo D. FierroMichael W. Berry

information retrievalefficient computationriemannian svdapplied mathematics

Recent Developments in Rank Revealing and Lanczos Methods for Tls-Related Problems. (2002)

numerical analysisrank revealingapplied mathematicsmathematicsnumerical mathematicsnumerical algorithmsrecent developmentsmathematical analysislanczos methodslinear algebranumerical linear algebraspectral theorycomputational mathematics

Truncated vsv Solutions to Symmetric Rank-Deficient Problems. BIT Numerical Mathematics (2002)

approximation theoryconvex analysisvsv solutionsapplied mathematicsnumerical mathematicsnumerical algorithmssemi-definite optimizationmathematicslinear algebranumerical linear algebralow-rank approximationcomputational mathematics

Lanczos, Householder Transformations, and Implicit Deflation for Fast and Reliable Dominant Singular Subspace Computation. Numerical Linear Algebra with Applications (2001)

numerical analysisscientific computingmatrix theoryapplied mathematicsvalidated numericsnumerical mathematicsmatrix analysisnumerical algorithmshouseholder transformationsimplicit deflationmathematicsmatrix methodslinear algebranumerical linear algebraspectral theorycomputational mathematics

Utv Tools: Matlab Templates for Rank-Revealing Utv Decompositions. Numerical Algorithms (1999)

pattern recognitiondata scienceutv toolsgranular computinglinear algebralow-rank approximation

Utv Tools: Matlab Templates for Rank-Revealing Utv Decompositions, Version 1.0 for Matlab 5.2. (1999)

pattern recognitionutv toolsmatlab 5.2applied mathematicsnumerical algorithmsdata sciencerank-revealing utv decompositionsstatistical softwarematrix methodslinear algebranumerical linear algebralow-rank approximationmatrix analysis

Fast Removal of Residual Water in Proton Spectra. Journal of Magnetic Resonance (1998)

spectroscopynuclear scienceproton transferfast removalwater purificationwastewater treatmentclean waterhydrogenwater sciencewater treatmentchemical engineering

Computing the Signal Subspaces of a Sparse and/or Structured Matrix. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE (1997)

sparse representationsapplied mathematicssignal processingnumerical algorithmssignal reconstructionsignal subspaceslinear algebranumerical linear algebralow-rank approximationcomputational mathematics

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Ricardo D. Fierro

California State University, San Marcos

Affiliations

College of Science, Technology, Engineering and Mathematics

Department Of Mathematics

NoneRicardo D. Fierro is currently serving as a College Of Science, Technology, Engineering And Mathematics faculty at California State University, San Marcos.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Ricardo D. Fierro

California State University, San Marcos

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

Utv Expansion Pack: Special-Purpose Rank-Revealing Algorithms. Numerical Algorithms (2005)

Ricardo D. FierroPer Christian Hansen

Lanczos and the Riemannian Svd in Information Retrieval Applications. Numerical Linear Algebra with Applications (2004)

Ricardo D. FierroEric P. Jiang

information retrieval applicationsapplied mathematicsriemannian svdinformation retrievalnumerical linear algebra

Efficient Computation of the Riemannian Svd in Total Least Squares Problems in Information Retrieval. Springer eBooks (2002)

Ricardo D. FierroMichael W. Berry

information retrievalefficient computationriemannian svdapplied mathematics

Recent Developments in Rank Revealing and Lanczos Methods for Tls-Related Problems. (2002)

Truncated vsv Solutions to Symmetric Rank-Deficient Problems. BIT Numerical Mathematics (2002)

Lanczos, Householder Transformations, and Implicit Deflation for Fast and Reliable Dominant Singular Subspace Computation. Numerical Linear Algebra with Applications (2001)

Utv Tools: Matlab Templates for Rank-Revealing Utv Decompositions. Numerical Algorithms (1999)

pattern recognitiondata scienceutv toolsgranular computinglinear algebralow-rank approximation

Utv Tools: Matlab Templates for Rank-Revealing Utv Decompositions, Version 1.0 for Matlab 5.2. (1999)

Fast Removal of Residual Water in Proton Spectra. Journal of Magnetic Resonance (1998)

spectroscopynuclear scienceproton transferfast removalwater purificationwastewater treatmentclean waterhydrogenwater sciencewater treatmentchemical engineering

Computing the Signal Subspaces of a Sparse and/or Structured Matrix. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE (1997)

1
2
10 / page