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  2. Machine epsilon - Wikipedia

    en.wikipedia.org/wiki/Machine_epsilon

    This alternative definition is significantly more widespread: machine epsilon is the difference between 1 and the next larger floating point number.This definition is used in language constants in Ada, C, C++, Fortran, MATLAB, Mathematica, Octave, Pascal, Python and Rust etc., and defined in textbooks like «Numerical Recipes» by Press et al.

  3. Round-off error - Wikipedia

    en.wikipedia.org/wiki/Round-off_error

    In the IEEE standard the base is binary, i.e. =, and normalization is used.The IEEE standard stores the sign, exponent, and significand in separate fields of a floating point word, each of which has a fixed width (number of bits).

  4. Parker–Sochacki method - Wikipedia

    en.wikipedia.org/wiki/Parker–Sochacki_method

    The end result is a high order piecewise solution to the original ODE problem. The order of the solution desired is an adjustable variable in the program that can change between steps. The order of the solution is only limited by the floating point representation on the machine running the program.

  5. Arithmetic underflow - Wikipedia

    en.wikipedia.org/wiki/Arithmetic_underflow

    While the machine epsilon is not to be confused with the underflow level (assuming subnormal numbers), it is closely related. The machine epsilon is dependent on the number of bits which make up the significand, whereas the underflow level depends on the number of digits which make up the exponent field. In most floating-point systems, the ...

  6. Adaptive Simpson's method - Wikipedia

    en.wikipedia.org/wiki/Adaptive_Simpson's_method

    The interval size may also approach the local machine epsilon, giving a = b. Lyness's 1969 paper includes a "Modification 4" that addresses this problem in a more concrete way: [3]: 490–2 Let the initial interval be [A, B]. Let the original tolerance be ε 0.

  7. t-distributed stochastic neighbor embedding - Wikipedia

    en.wikipedia.org/wiki/T-distributed_stochastic...

    scikit-learn, a popular machine learning library in Python implements t-SNE with both exact solutions and the Barnes-Hut approximation. Tensorboard, the visualization kit associated with TensorFlow, also implements t-SNE (online version) The Julia package TSne implements t-SNE

  8. CEOs have never headed for the exits as much as they ... - AOL

    www.aol.com/finance/ceos-never-headed-exits-much...

    A record number of U.S. CEOs exited their jobs this year, according to Challenger, Gray & Christmas, which said companies are responding to an uncertain landscape by installing temporary leaders ...

  9. Talk:Machine epsilon - Wikipedia

    en.wikipedia.org/wiki/Talk:Machine_epsilon

    Interval Machine Epsilon, (): This term can be used for the "widespread variant definition" of machine epsilon as per Prof. Higham, and applied in language constants in C, C++, Python, Fortran, MATLAB, Pascal, Ada, Rust, and textsbooks like «Numerical Recipes» by Press et al.