least significant - определение. Что такое least significant
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Что (кто) такое least significant - определение

CONVENTION TO IDENTIFY BIT POSITIONS
Most significant bit; Least significant bit; Least-significant bit; Most significant byte; Least significant byte; Significant bit; Bit significance; High-order bit; LSB0; MSB0; Least significant bits; Most significant bits; Bit position; Least Significant Bit; Most Significant Bit; Lsbit; Msbit; Most-significant bit; LSB 0; LSB 1; MSB 0; MSB 1; Lowest significant bit first; Most significant bit first; LSB1; MSB1; LSB-0; LSB-1; MSB-0; MSB-1; Bit naming; Bit order; Bit ordering; High bit; Low bit; Lowest bit; Highest bit; Least-significant bit first; Least significant bit first; Most-significant bit first
  • A diagram showing how manipulating the least significant bits of a color can have a very subtle and generally unnoticeable affect on the color. In this diagram, green is represented by its [[RGB]] value, both in decimal and in binary. The red box surrounding the last two bits illustrates the least significant bits changed in the binary representation.
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Significant figures         
  • Digits in light blue are significant figures; those in black are not.
ANY DIGIT OF A NUMBER WITHIN THE MEASUREMENT RESOLUTION OF THAT NUMBER, AS OPPOSED TO SPURIOUS DIGITS
Significant figure; Significant digit; Significant Figures; Arithmetic precision; Decimal place; Sigfigs; Significant digits; Sig figs; Sig digs; Decimal precision; Sig-fig; Sig fig; Sig-figs; Round (mathematics); Most significant digit; Least significant digit; Precision (arithmetic); First digit; Significant Digits; Decimal places; Superfluous precision; Significance figures; Precision (error); Trailing digit; Leading digit; Leading significant digit; Last digit; First digit (numbers); First digit (number representation); Least-significant digit; Most-significant digit; Numerical resolution
Significant figures (also known as the significant digits, precision or resolution) of a number in positional notation are digits in the number that are reliable and necessary to indicate the quantity of something.
decimal place         
  • Digits in light blue are significant figures; those in black are not.
ANY DIGIT OF A NUMBER WITHIN THE MEASUREMENT RESOLUTION OF THAT NUMBER, AS OPPOSED TO SPURIOUS DIGITS
Significant figure; Significant digit; Significant Figures; Arithmetic precision; Decimal place; Sigfigs; Significant digits; Sig figs; Sig digs; Decimal precision; Sig-fig; Sig fig; Sig-figs; Round (mathematics); Most significant digit; Least significant digit; Precision (arithmetic); First digit; Significant Digits; Decimal places; Superfluous precision; Significance figures; Precision (error); Trailing digit; Leading digit; Leading significant digit; Last digit; First digit (numbers); First digit (number representation); Least-significant digit; Most-significant digit; Numerical resolution
¦ noun the position of a digit to the right of a decimal point.
significant figure         
  • Digits in light blue are significant figures; those in black are not.
ANY DIGIT OF A NUMBER WITHIN THE MEASUREMENT RESOLUTION OF THAT NUMBER, AS OPPOSED TO SPURIOUS DIGITS
Significant figure; Significant digit; Significant Figures; Arithmetic precision; Decimal place; Sigfigs; Significant digits; Sig figs; Sig digs; Decimal precision; Sig-fig; Sig fig; Sig-figs; Round (mathematics); Most significant digit; Least significant digit; Precision (arithmetic); First digit; Significant Digits; Decimal places; Superfluous precision; Significance figures; Precision (error); Trailing digit; Leading digit; Leading significant digit; Last digit; First digit (numbers); First digit (number representation); Least-significant digit; Most-significant digit; Numerical resolution
¦ noun Mathematics each of the digits of a number that are used to express it to the required degree of accuracy, starting from the first non-zero digit.
least significant bit         
¦ noun Computing the bit in a binary number which is of the lowest numerical value.
least significant bit         
<data> (LSB) Bit zero, the bit of a binary number giving the number of ones, the last or rightmost bit when the number is written in the usual way. (1995-07-13)
Significant Other (play)         
2015 PLAY BY JOSHUA HARMON
Significant Other (2015 play)
Significant Other is an American play written by Joshua Harmon, which premiered Off-Broadway in 2015, followed by a Broadway production at the Booth Theatre in Spring 2017.
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
The method of least squares is a standard approach in regression analysis to approximate the solution of overdetermined systems (sets of equations in which there are more equations than unknowns) by minimizing the sum of the squares of the residuals (a residual being the difference between an observed value and the fitted value provided by a model) made in the results of each individual equation.
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
¦ 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.
Least mean squares filter         
  • LMS filter
ALGORITHM
Least mean squares; NLMS; Normalised Least mean squares filter; Normalized Least mean squares filter; Normalized least mean squares filter; Normalised least mean squares filter; LMS filter
Least mean squares (LMS) algorithms are a class of adaptive filter used to mimic a desired filter by finding the filter coefficients that relate to producing the least mean square of the error signal (difference between the desired and the actual signal). It is a stochastic gradient descent method in that the filter is only adapted based on the error at the current time.
Ordinary least squares         
  • Fitted regression
  • Residuals plot
  • [[Scatterplot]] of the data, the relationship is slightly curved but close to linear
  • OLS estimation can be viewed as a projection onto the linear space spanned by the regressors. (Here each of <math>X_1</math> and <math>X_2</math> refers to a column of the data matrix.)
  • [[Okun's law]] in [[macroeconomics]] states that in an economy the [[GDP]] growth should depend linearly on the changes in the unemployment rate. Here the ordinary least squares method is used to construct the regression line describing this law.
METHOD FOR ESTIMATING THE UNKNOWN PARAMETERS IN A LINEAR REGRESSION MODEL
Ordinary least squares regression; Normal equations; Ordinary Least Squares; Ordinary list squares; OLS Regression; Ordinary least square; Standard error of the equation; OLS regression; Ordinary Least Squares Regression; Partitioned regression; Least-squares normal matrix; Large Sample Properties
In statistics, ordinary least squares (OLS) is a type of linear least squares method for choosing the unknown parameters in a linear regression model (with fixed level-one effects of a linear function of a set of explanatory variables) by the principle of least squares: minimizing the sum of the squares of the differences between the observed dependent variable (values of the variable being observed) in the input dataset and the output of the (linear) function of the independent variable.

Википедия

Bit numbering

In computing, bit numbering is the convention used to identify the bit positions in a binary number.