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  • Fast way to get numeric precision and scale (n o decimal . . .
    I have a vector with many numbers (> 1E9 elements) and want to derive the numeric precision (number of digits in a number) and numeric scale (the number of digits to the right of the decimal point in a number) How can I do this very fast (vectorized)?
  • vector calculations without floats - C++ Forum - C++ Users
    Is there any way to perform vector calculations without using floats? I thought it might be possible by scaling up an int by 1000 times before performing calculations and then just ignoring the last 3 digits of the output but I can't figure out how to calculate a square root with ints
  • How to perform high precision calculation involving 100s of . . .
    I am looking for ways to perform calculation involving 100s of decimal places (especially for, but not limited to, this problem statement) One well known library for high precision calculation in Python is mpmath which is used for floating-point arithmetic with arbitrary precision
  • USING VECTORIZED CALCULATIONS IN SCILAB TO IMPROVE . . .
    In order to test GNU Octave as another free alternative, it was decided to apply similar or adapted tests to both tools and provide a comparison of the results
  • Managing different decimals in a vector - R - Stack Overflow
    There are actually two reasons: The first is coercion, as already mentioned by statnet22 above When you combine elements of different types in a single vector in R, it is cast to a common data type You cannot have elements of different types in a vector (but a list would work)


















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