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Gauss, Karl Friedrich, 56

Gauss, Karl Friedrich (1777—1855). A German mathematician who developed the conception of the three fundamental units length, mass and rime... [Pg.684]

Gauss Karl Friedrich (1777-1855) Ger. math., fundamental theorems of algebra and ontribution to modern number theory (Gaussian integers), vectorial representation of complex numbers, method of least squares and observational of errors, unit of magnetic field gauss named in his honor... [Pg.459]

A very important probability distribution is the normal or Gaussian distribution (after the German mathematician, Karl Friedrich Gauss, 1777-1855). The normal distribution has the same value for the mean, median and mode. The equation describing this distribution (the probability density function)... [Pg.298]

Karl Friedrich Gauss (1777-1855) has been called the Prince of Mathematicians for his many contribu-... [Pg.609]

That is exactly what happened two centuries ago in the theory of statistics, with results that continue to confuse textbook authors to this day. Karl Friedrich Gauss is commonly credited with proving that the ordinary mean is the best kind of average because it follows from the normal (or Gaussian ) distribution of errors. But in fact he quite explicitly did the opposite, deciding at the outset what conclusion he wanted to reach and then working out what properties the world would need to have for it to be valid. [Pg.56]

Gaussian elimination is considered the workhorse of computational science for the solution of a system of linear equations. Karl Friedrich Gauss, a great nineteenth-century mathematician, suggested this elimination method as a part of his proof of a particular theorem. Gaussian elimination is a systematic application of elementary row operations to a system of linear equations in order to convert the system to upper triangular form. Once the coefficient matrix is in upper triangular form. [Pg.228]


See other pages where Gauss, Karl Friedrich, 56 is mentioned: [Pg.346]    [Pg.346]    [Pg.26]    [Pg.264]    [Pg.507]    [Pg.601]    [Pg.692]    [Pg.3]    [Pg.336]    [Pg.217]    [Pg.257]   
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See also in sourсe #XX -- [ Pg.96 ]

See also in sourсe #XX -- [ Pg.196 ]




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