Decomposition By Singular Values
Mostrando 1-10 de 10 artigos, teses e dissertações.
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1. PROBLEMAS INVERSOS MAL COLOCADOS EM QUÍMICA
What is an ill-posed inverse problem? The answer to this question is the main objective of the present paper and the pre-requisite to follow the material requires only elementary calculus. The first mathematical formulation of an inverse problem, due to N. H. Abel, together with the fundamental work by Jacques Hadamard, are explored at the beginning of the p
Quím. Nova. Publicado em: 2016-08
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2. Missing value imputation in multi-environment trials: Reconsidering the Krzanowski method
Abstract We propose a new methodology for multiple imputation when faced with missing data in multi-environmental trials with genotype-by-environment interaction, based on the imputation system developed by Krzanowski that uses the singular value decomposition (SVD) of a matrix. Several different iterative variants are described; differential weights can als
Crop Breed. Appl. Biotechnol.. Publicado em: 2016-06
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3. Imputação múltipla: comparação e eficiência em experimentos multiambientais / Multiple Imputations: comparison and efficiency of multi-environmental trials
In trials of genotypes by environment, the presence of absent values is common, due to the quantity of insufficiency of genotype application, making difficult for example, the process of recommendation of more productive genotypes, because for the application of the majority of the multivariate statistical techniques, a complete data matrix is required. Thus
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 19/07/2012
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4. Desenvolvimento de análise por trajetórias vibroacústicas para aplicação automotiva
An analysis and development of how vibration and acoustic noise generated in a motor car arrives at the interior of the vehicle, a key issue in modern industry, is presented. The study considers the development of experimental techniques, employing computational data processing and data systemising, leading to the identification and ranking contribution of b
Publicado em: 2008
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5. Regression and uni-multivariate methodologies for reduction of the replication number in experiments of the intermediary phase of a soybean breeding program. / Métodos de regressão e uni-multivariado para a redução do número de repetições em experimentos intermediários de um programa de melhoramento de soja.
The intermediary phase of a soybean breeding program involves the evaluation of a large number of genotypes (about 100 lines) in several environments, becoming this a very expensive step. The utilization of statistical methods that allow a refined analysis of the genotype x environment (GxE) interaction, may generate gains in precision as a compensation to t
Publicado em: 2004
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6. Oceanographical Geoquinica of sedimentary carbonates of the continental platform of the state of the Cearà and implications / Geoquimica de carbonatos sedimentares da plataforma continental do estado do Cearà e implicaÃÃes oceanogrÃficas
Eight foraminÃfera-rich sediment samples of the continental margin of Brazil, between the states of Cearà and Pernambuco and single foraminifera specimens (Amphistegina radiata, Peneropolis planatus and Globigenrinoides rubbe) of fifty sediment samples collected in the continental margin of the Ceara State were analysed for C and O- isotope. The objective
Publicado em: 2004
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7. Aplicação de Análise Multivariada de dados a Espectroscopia de Alta Resolução em Sólidos por Ressonância Magnética Nuclear. / Multivariate data analysis applied to high resolution spectroscopy in solids by nuclear magnetic resonance.
High Resolution Solid-State 13C-NMR Spectroscopy techniques Cross Polarization, Decoupling and Magic Angle Spinning, were employed in this work for the study of the chemical composition of seeds and food. A Multivariate Analysis procedure was also employed in the development of a calibration and prediction method for the determination of the components conte
Publicado em: 1997
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8. Analise automatizada de testes de pressã
The objective of an automated well test analysis is to obtain íormation parameters by using nonlinear regression techniques applied to bottom hole pressure versus time data collected during the test period. In this work several nonlinear regression methods were analysed and their performances compared. Some of the methods considered are based on the L2-norm
Publicado em: 1992
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9. Intermediate spectra and photocycle kinetics of the Asp96 → Asn mutant bacteriorhodopsin determined by singular value decomposition with self-modeling
Singular value decomposition with self-modeling is applied to resolve the intermediate spectra and kinetics of the Asp96 → Asn mutant bacteriorhodopsin. The search for the difference spectra of the intermediates is performed in eigenvector space on the stoichiometric plane. The analysis of data at pH values ranging from 4 to 8 and temperatures between 5 an
The National Academy of Sciences.
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10. Robust singular value decomposition analysis of microarray data
In microarray data there are a number of biological samples, each assessed for the level of gene expression for a typically large number of genes. There is a need to examine these data with statistical techniques to help discern possible patterns in the data. Our technique applies a combination of mathematical and statistical methods to progressively take th
National Academy of Sciences.