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F06HRF generates details of a complex elementary reflection (Householder matrix), P, such that P x
"... Note: before using this routine, please read the Users ’ Note for your implementation to check the interpretation of bold italicised terms and other implementation-dependent details. ..."
Abstract
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Note: before using this routine, please read the Users ’ Note for your implementation to check the interpretation of bold italicised terms and other implementation-dependent details.
F06FSF generates details of a real elementary reflection (Householder matrix), P, such that P x
"... Note: before using this routine, please read the Users ’ Note for your implementation to check the interpretation of bold italicised terms and other implementation-dependent details. ..."
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Note: before using this routine, please read the Users ’ Note for your implementation to check the interpretation of bold italicised terms and other implementation-dependent details.
F06FRF generates details of a real elementary reflection (Householder matrix), P, such that P x
"... Note: before using this routine, please read the Users ’ Note for your implementation to check the interpretation of bold italicised terms and other implementation-dependent details. ..."
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Note: before using this routine, please read the Users ’ Note for your implementation to check the interpretation of bold italicised terms and other implementation-dependent details.
F06HRF generates details of a complex elementary reflection (Householder matrix), P, such that P x
"... Note: before using this routine, please read the Users ’ Note for your implementation to check the interpretation of bold italicised terms and other implementation-dependent details. ..."
Abstract
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Note: before using this routine, please read the Users ’ Note for your implementation to check the interpretation of bold italicised terms and other implementation-dependent details.
ASK SFQ.010 – SFQ.040 AS APPROPRIATE FOR EACH PERSON {P} LISTED BELOW REFERENCE PERSON ON THE HOUSEHOLD MATRIX.
"... SFQ.010 {The next questions are about family relationships.} What is {PERSON'S) relationship to {REFERENCE PERSON}? ..."
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SFQ.010 {The next questions are about family relationships.} What is {PERSON'S) relationship to {REFERENCE PERSON}?
Owner-Occupied Housing And The Composition Of The Household Portfolio Over The Life Cycle
, 1998
"... The paper studies the impact of the portfolio constraint imposed by the consumption demand for housing (the "housing constraint") on the household's optimal holdings of financial assets. Since the ratio of housing to net worth declines as the household accumulates wealth, the housi ..."
Abstract
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Cited by 176 (5 self)
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The paper studies the impact of the portfolio constraint imposed by the consumption demand for housing (the "housing constraint") on the household's optimal holdings of financial assets. Since the ratio of housing to net worth declines as the household accumulates wealth
Implementation of the GMRES method using Householder transformations
- SIAM J. Sci. Statist. Comput
, 1988
"... Abstract. The standard implementation of the GMRES method for solving large nonsymmetric linear systems involves a Gram-Schmidt process which is a potential source of significant numerical error. An alternative implementation is outlined here in which orthogonalization by Householder transformations ..."
Abstract
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Cited by 118 (3 self)
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be less significant when products of the coefficient matrix with vectors are expensive or on vector and, in particular, parallel machines. Key words. GMRES method, iterative methods, matrix-free methods, nonsymmetric linear systems, Householder transformations. AMS(MOS) subject classifications. 65F10, 65N
Numerical methods for computing angles between linear subspaces
, 1971
"... Assume that two subspaces F and G of a unitary space are defined.. as the ranges(or nullspacd of given rectangular matrices A and B. Accurate numerical methods are developed for computing the principal angles ek(F,G) and orthogonal sets of principal vectors u k 6 F and vk c G, k = 1,2,..., q = d ..."
Abstract
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Cited by 164 (4 self)
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= dim(G) 2 dim(F). An important application in statistics is computing the canonical correlations uk = cos 8 k between two sets of variates. A perturbation analysis shows that the condition number for ek essentially is max(K(A),K(B)), where K denotes the condition number of a matrix. The algorithms
The household-composition matrix as a notion in multiregional forecasting of population and households
, 1984
"... Abstract. The household-composition matrix has been used in the past for single-region projection of population and households; here the application is expanded to multiregional projection of population and households. Geographic regions of residence are considered as household categories, and a hou ..."
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Abstract. The household-composition matrix has been used in the past for single-region projection of population and households; here the application is expanded to multiregional projection of population and households. Geographic regions of residence are considered as household categories, and a
Informative Household Recommendation with Feature-based Matrix Factorization
"... In this paper, we describe our solutions to the first track of CAMRa2011 challenge. The goal of this track is to gener-ate a movie ranking list for each household. To achieve this goal, we propose to use the ranking oriented matrix factor-ization and the matrix factorization with negative examples s ..."
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In this paper, we describe our solutions to the first track of CAMRa2011 challenge. The goal of this track is to gener-ate a movie ranking list for each household. To achieve this goal, we propose to use the ranking oriented matrix factor-ization and the matrix factorization with negative examples
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