least subalgebra - перевод на русский
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least subalgebra - перевод на русский

Parabolic subalgebra
Найдено результатов: 175
least subalgebra      

математика

наименьшая подалгебра

least-squares         
  • [[Carl Friedrich Gauss]]
  • "Fanning Out" Effect of Heteroscedasticity
  • 251x251px
  • The residuals are plotted against the corresponding <math>x</math> values. The parabolic shape of the fluctuations about <math>r_i=0</math> indicates a parabolic model is appropriate.
  • Conic fitting a set of points using least-squares approximation
APPROXIMATION METHOD IN STATISTICS
Method of least squares; Least-squares method; Least-squares estimation; Least-Squares Fitting; Least squares fitting; Sum of Squared Error; Least-squares; Least squares approximation; Least-squares approximation; Least squares method; Least-squares analysis; Least squares fit; Least squares problem; Least-squares problem; LSQF; Principle of least squares; Least-squares fit; Method of Least Squares; Least Squares

статистика

наименьших квадратов (о методе)

least-squares fit         
  • [[Carl Friedrich Gauss]]
  • "Fanning Out" Effect of Heteroscedasticity
  • 251x251px
  • The residuals are plotted against the corresponding <math>x</math> values. The parabolic shape of the fluctuations about <math>r_i=0</math> indicates a parabolic model is appropriate.
  • Conic fitting a set of points using least-squares approximation
APPROXIMATION METHOD IN STATISTICS
Method of least squares; Least-squares method; Least-squares estimation; Least-Squares Fitting; Least squares fitting; Sum of Squared Error; Least-squares; Least squares approximation; Least-squares approximation; Least squares method; Least-squares analysis; Least squares fit; Least squares problem; Least-squares problem; LSQF; Principle of least squares; Least-squares fit; Method of Least Squares; Least Squares

математика

подбор методом наименьших квадратов

least squares method         
  • [[Carl Friedrich Gauss]]
  • "Fanning Out" Effect of Heteroscedasticity
  • 251x251px
  • The residuals are plotted against the corresponding <math>x</math> values. The parabolic shape of the fluctuations about <math>r_i=0</math> indicates a parabolic model is appropriate.
  • Conic fitting a set of points using least-squares approximation
APPROXIMATION METHOD IN STATISTICS
Method of least squares; Least-squares method; Least-squares estimation; Least-Squares Fitting; Least squares fitting; Sum of Squared Error; Least-squares; Least squares approximation; Least-squares approximation; Least squares method; Least-squares analysis; Least squares fit; Least squares problem; Least-squares problem; LSQF; Principle of least squares; Least-squares fit; Method of Least Squares; Least Squares
метод наименьших квадратов; статистический метод, используемый для определения коэффициентов регрессии.
least-squares analysis         
  • [[Carl Friedrich Gauss]]
  • "Fanning Out" Effect of Heteroscedasticity
  • 251x251px
  • The residuals are plotted against the corresponding <math>x</math> values. The parabolic shape of the fluctuations about <math>r_i=0</math> indicates a parabolic model is appropriate.
  • Conic fitting a set of points using least-squares approximation
APPROXIMATION METHOD IN STATISTICS
Method of least squares; Least-squares method; Least-squares estimation; Least-Squares Fitting; Least squares fitting; Sum of Squared Error; Least-squares; Least squares approximation; Least-squares approximation; Least squares method; Least-squares analysis; Least squares fit; Least squares problem; Least-squares problem; LSQF; Principle of least squares; Least-squares fit; Method of Least Squares; Least Squares
мат.
анализ методом наименьших квадратов
least-squares approximation         
  • [[Carl Friedrich Gauss]]
  • "Fanning Out" Effect of Heteroscedasticity
  • 251x251px
  • The residuals are plotted against the corresponding <math>x</math> values. The parabolic shape of the fluctuations about <math>r_i=0</math> indicates a parabolic model is appropriate.
  • Conic fitting a set of points using least-squares approximation
APPROXIMATION METHOD IN STATISTICS
Method of least squares; Least-squares method; Least-squares estimation; Least-Squares Fitting; Least squares fitting; Sum of Squared Error; Least-squares; Least squares approximation; Least-squares approximation; Least squares method; Least-squares analysis; Least squares fit; Least squares problem; Least-squares problem; LSQF; Principle of least squares; Least-squares fit; Method of Least Squares; Least Squares

математика

приближение по методу наименьших квадратов

method of least squares         
  • [[Carl Friedrich Gauss]]
  • "Fanning Out" Effect of Heteroscedasticity
  • 251x251px
  • The residuals are plotted against the corresponding <math>x</math> values. The parabolic shape of the fluctuations about <math>r_i=0</math> indicates a parabolic model is appropriate.
  • Conic fitting a set of points using least-squares approximation
APPROXIMATION METHOD IN STATISTICS
Method of least squares; Least-squares method; Least-squares estimation; Least-Squares Fitting; Least squares fitting; Sum of Squared Error; Least-squares; Least squares approximation; Least-squares approximation; Least squares method; Least-squares analysis; Least squares fit; Least squares problem; Least-squares problem; LSQF; Principle of least squares; Least-squares fit; Method of Least Squares; Least Squares
метод наименьших квадратов
least squares method         
  • [[Carl Friedrich Gauss]]
  • "Fanning Out" Effect of Heteroscedasticity
  • 251x251px
  • The residuals are plotted against the corresponding <math>x</math> values. The parabolic shape of the fluctuations about <math>r_i=0</math> indicates a parabolic model is appropriate.
  • Conic fitting a set of points using least-squares approximation
APPROXIMATION METHOD IN STATISTICS
Method of least squares; Least-squares method; Least-squares estimation; Least-Squares Fitting; Least squares fitting; Sum of Squared Error; Least-squares; Least squares approximation; Least-squares approximation; Least squares method; Least-squares analysis; Least squares fit; Least squares problem; Least-squares problem; LSQF; Principle of least squares; Least-squares fit; Method of Least Squares; Least Squares

общая лексика

метод наименьших квадратов

least-squares method         
  • [[Carl Friedrich Gauss]]
  • "Fanning Out" Effect of Heteroscedasticity
  • 251x251px
  • The residuals are plotted against the corresponding <math>x</math> values. The parabolic shape of the fluctuations about <math>r_i=0</math> indicates a parabolic model is appropriate.
  • Conic fitting a set of points using least-squares approximation
APPROXIMATION METHOD IN STATISTICS
Method of least squares; Least-squares method; Least-squares estimation; Least-Squares Fitting; Least squares fitting; Sum of Squared Error; Least-squares; Least squares approximation; Least-squares approximation; Least squares method; Least-squares analysis; Least squares fit; Least squares problem; Least-squares problem; LSQF; Principle of least squares; Least-squares fit; Method of Least Squares; Least Squares

математика

метод наименьших квадратов

Смотрите также

method of least squares

method of least squares         
  • [[Carl Friedrich Gauss]]
  • "Fanning Out" Effect of Heteroscedasticity
  • 251x251px
  • The residuals are plotted against the corresponding <math>x</math> values. The parabolic shape of the fluctuations about <math>r_i=0</math> indicates a parabolic model is appropriate.
  • Conic fitting a set of points using least-squares approximation
APPROXIMATION METHOD IN STATISTICS
Method of least squares; Least-squares method; Least-squares estimation; Least-Squares Fitting; Least squares fitting; Sum of Squared Error; Least-squares; Least squares approximation; Least-squares approximation; Least squares method; Least-squares analysis; Least squares fit; Least squares problem; Least-squares problem; LSQF; Principle of least squares; Least-squares fit; Method of Least Squares; Least Squares

статистика

метод наименьших квадратов (метод определения параметров генеральной совокупности путем минимизации критериев суммы квадратов отклонений между фактическими и расчетными данными; предложен К. Гауссом (1794- и А. Лежандром (1805-; представляет собой один из важнейших разделов математической статистики и широко используется для статистических выводов в различных областях науки и техники; в управленческом учете используется для разбиения смешанных затрат на постоянную и переменную составляющие - посредством статистических приемов строится линия регрессии, представляющая совокупные смешанные затраты)

синоним

least square method; least squares method; least-squares method least-squares technique; LS; LS method; least square procedure; least square technique; least-squares scheme; least square; principle of least squares; least squares; technique of least squares; least squares technique; least-squares procedure; method of least-squares; least-squares analysis

Определение

least squares
¦ noun a method of estimating a quantity or fitting a graph to data so as to minimize the sum of the squares of the differences between the observed values and the estimated values.

Википедия

Parabolic Lie algebra

In algebra, a parabolic Lie algebra p {\displaystyle {\mathfrak {p}}} is a subalgebra of a semisimple Lie algebra g {\displaystyle {\mathfrak {g}}} satisfying one of the following two conditions:

  • p {\displaystyle {\mathfrak {p}}} contains a maximal solvable subalgebra (a Borel subalgebra) of g {\displaystyle {\mathfrak {g}}} ;
  • the Killing perp of p {\displaystyle {\mathfrak {p}}} in g {\displaystyle {\mathfrak {g}}} is the nilradical of p {\displaystyle {\mathfrak {p}}} .

These conditions are equivalent over an algebraically closed field of characteristic zero, such as the complex numbers. If the field F {\displaystyle \mathbb {F} } is not algebraically closed, then the first condition is replaced by the assumption that

  • p F F ¯ {\displaystyle {\mathfrak {p}}\otimes _{\mathbb {F} }{\overline {\mathbb {F} }}} contains a Borel subalgebra of g F F ¯ {\displaystyle {\mathfrak {g}}\otimes _{\mathbb {F} }{\overline {\mathbb {F} }}}

where F ¯ {\displaystyle {\overline {\mathbb {F} }}} is the algebraic closure of F {\displaystyle \mathbb {F} } .

Как переводится least subalgebra на Русский язык