Gauss, Karl

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

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... 

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)... 

James Clerk Maxwell (1831-1879), against a background of experimental and theoretical work by Andre Ampere (1775-1836). Karl Gauss (1777-1855) and Michael Faraday (1791-1867), developed the electromagnetic wave theory of... 

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

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. 

One of the most important statistical models — arguably the most important — is the normal (or Gaussian) distribution that the famous mathematician Karl F. Gauss proposed at the beginning of the 19th century, to calculate the probabilities of occurrence of measurement... 

Gauss law The total electric flux normal to a closed surface in an electric held is proportional to the algebraic sum of the electric charges within the surface. A similar law applies to surfaces drawn in a magnetic field and the law can be generalized for any vector field through a closed surface. It was first stated by Karl Gauss. 

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. 

---