AbstractThis article surveys the history, development, and applications of least squares, including ordinary, constrained, weighted, and total least squares. The presentation includes proofs of the basic theory, in particular, unitary factorizations and singular-value decompositions of matrices. Numerical examples with real data demonstrate how to set up and solve several types of problems of least squares. The bibliography lists comprehensive sources for more specialized aspects of least squares
Data resolution is an important task in astronomy, one that is generally undertaken using the method...
at X ̂ instead of at zero. The right angle formed by y X ̂ and S(X) is the key feature of least squa...
In most problems in mathematics, science, engineering, and economics it is sufficient to find an equ...
AbstractThis article surveys the history, development, and applications of least squares, including ...
DoctoralThis course explains least squares optimization, nowadays a simple and well-mastered technol...
from Richard W. Hamming collection (NPS-018), Naval Postgraduate School. Papers and Speeches.Includ...
The least-squares method was firmly established as a scientific approach by Gauss, Legendre and Lapl...
Neuss: Bruno Buike 2008, 59p. - (Marburg: Tectum microfiche 1996 – ISBN 3-89608-865-3) - In coursebo...
Least squares method theory and application to curve fitting, data smoothing, and solution of overde...
SUMMARY. — The method of least squares is a priori merely a convenient technique for choosing the va...
Excerpts from the Preface: A bit of history will be helpful to anyone who may be wondering just how...
In Geomatics, the method of least squares is commonly used to solve the systems of observation equat...
The method of least squares was proposed in 1805 and soon became a standard tool in astronomy and ge...
Abstract. The course presents an overview of the least-squares technique and its variants. A wide ra...
"Titles of 408 papers, books and parts of books, relating to the method of least squares and the the...
Data resolution is an important task in astronomy, one that is generally undertaken using the method...
at X ̂ instead of at zero. The right angle formed by y X ̂ and S(X) is the key feature of least squa...
In most problems in mathematics, science, engineering, and economics it is sufficient to find an equ...
AbstractThis article surveys the history, development, and applications of least squares, including ...
DoctoralThis course explains least squares optimization, nowadays a simple and well-mastered technol...
from Richard W. Hamming collection (NPS-018), Naval Postgraduate School. Papers and Speeches.Includ...
The least-squares method was firmly established as a scientific approach by Gauss, Legendre and Lapl...
Neuss: Bruno Buike 2008, 59p. - (Marburg: Tectum microfiche 1996 – ISBN 3-89608-865-3) - In coursebo...
Least squares method theory and application to curve fitting, data smoothing, and solution of overde...
SUMMARY. — The method of least squares is a priori merely a convenient technique for choosing the va...
Excerpts from the Preface: A bit of history will be helpful to anyone who may be wondering just how...
In Geomatics, the method of least squares is commonly used to solve the systems of observation equat...
The method of least squares was proposed in 1805 and soon became a standard tool in astronomy and ge...
Abstract. The course presents an overview of the least-squares technique and its variants. A wide ra...
"Titles of 408 papers, books and parts of books, relating to the method of least squares and the the...
Data resolution is an important task in astronomy, one that is generally undertaken using the method...
at X ̂ instead of at zero. The right angle formed by y X ̂ and S(X) is the key feature of least squa...
In most problems in mathematics, science, engineering, and economics it is sufficient to find an equ...