'Qr factorization' presentation slideshows

Advanced MPI programming

Advanced MPI programming. Julien Langou George Bosilca. Outline. Point-to-point communications, group and communicators, data-type, collective communications 4 real life applications to play with. Point-to-point Communications. Point-to-point Communications.

1.45k views • 124 slides

MATH 685/ CSI 700/ OR 682 Lecture Notes

MATH 685/ CSI 700/ OR 682 Lecture Notes. Lecture 4. Least squares. Method of least squares. Measurement errors are inevitable in observational and experimental sciences Errors can be smoothed out by averaging over many cases, i.e., taking more measurements than are strictly

736 views • 60 slides

QR Factorization Direct Method to solve linear systems Problems that generate Singular matrices

Pertemuan 2. Outline. QR Factorization Direct Method to solve linear systems Problems that generate Singular matrices Modified Gram-Schmidt Algorithm QR Pivoting Matrix must be singular, move zero column to end.

486 views • 39 slides

Alexandra Moshou , Panayotis Papadimitriou, Konstantinos Makropoulos

European Seismological Commission ESC 2008, 31st General Assembly. Waveform Inversion using teleseismic and regional data for earthquakes that occurred in Greece. Alexandra Moshou , Panayotis Papadimitriou, Konstantinos Makropoulos. Hersonissos, Crete, Greece, 7-12 September 2008.

386 views • 38 slides

Giansalvo EXIN Cirrincione

427 views • 31 slides

5.1 Orthogonality

5.1 Orthogonality. Definitions. A set of vectors is called an orthogonal set if all pairs of distinct vectors in the set are orthogonal. An orthonormal set is an orthogonal set of unit vectors.

1.1k views • 30 slides

PaRSEC : Parallel Runtime Scheduling and Execution Controller

PaRSEC : Parallel Runtime Scheduling and Execution Controller. Jack Dongarra , George Bosilca , Aurelien Bouteiller , Anthony Danalis , Mathieu Faverge , Thomas Herault. Also thanks to: Julien Herrmann, Julien Langou , Bradley R. Lowery, Yves Robert. Motivation.

437 views • 26 slides

Mapping Signal Processing Kernels to Tiled Architectures

Mapping Signal Processing Kernels to Tiled Architectures. Henry Hoffmann James Lebak [Presenter] Massachusetts Institute of Technology Lincoln Laboratory Eighth Annual High-Performance Embedded Computing Workshop (HPEC 2004) 28 Sep 2004.

254 views • 24 slides

Math 307 Spring, 2003 Hentzel Time: 1:10-2:00 MWF Room: 1324 Howe Hall

Math 307 Spring, 2003 Hentzel Time: 1:10-2:00 MWF Room: 1324 Howe Hall Instructor: Irvin Roy Hentzel Office 432 Carver Phone 515-294-8141 E-mail: hentzel@iastate.edu http://www.math.iastate.edu/hentzel/class.307.ICN Text: Linear Algebra With Applications,

336 views • 23 slides

Example:

Householder Transformations. Example:. DEF:. is called Householder matrix ( Reflection, Transformation). Householder Transformations. Example. DEF:. is called Householder matrix ( Reflection, Transformation). Rem :. They are rank-1 modifications of the identity.

249 views • 21 slides

Square or Rectangular Matrices

Factorizations and Decompositions. Square or Rectangular Matrices. QR factorization. Reduced QR factorization. SVD. Reduced SVD. Factorizations and Decompositions. Square Matrices. LU factorization. Cholesky factorization. Schur Factorization. Arnoldi iteration. Lanczos iteration.

389 views • 17 slides

Square or Rectangular Matrices

Factorizations and Decompositions. Square or Rectangular Matrices. QR factorization. Reduced QR factorization. SVD. Reduced SVD. Factorizations and Decompositions. Square Matrices. LU factorization. Cholesky factorization. Schur Factorization. Arnoldi iteration. Lanczos iteration.

173 views • 17 slides

Why out-of-core?

78 views • 1 slides