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computer arithmetic मीनिंग इन हिंदी
computer arithmetic उदाहरण वाक्य
उदाहरण वाक्य
अधिक: आगे- RNS have applications in the field of digital computer arithmetic.
- :See Division by zero # Computer arithmetic.
- Until the 1980s, the rounding method used in floating-point computer arithmetic was usually fixed by the hardware, poorly documented, inconsistent, and different for each brand and model of computer.
- In 2010, Brent and Paul Zimmermann published " Modern Computer Arithmetic ", ( Cambridge University Press, 2010 ), a book about algorithms for performing arithmetic, and their implementation on modern computers.
- The dimension limit was apparently chosen arbitrarily by Adobe, not based on computer arithmetic constraints ( it is not close to a power of two, as is 30, 000 ) but for ease of software testing.
- His interests include asymptotically fast arithmetic he wrote a book on algorithms for computer arithmetic with genus; arithmetic on polynomials of very large degree turns out to be useful in algorithms for point-counting on such curves.
- When translated into modern computer arithmetic, the NepMhualtzintzin amounted to the rank from 10 to the 18 in floating point, which calculated stellar as well as infinitesimal amounts with absolute precision, meant that no round off was allowed.
- Some examples : " Melting Silicon for Semiconductors " ( May 1959 ), " Computer Arithmetic Circuits " ( June 1961 ), and " Binary Computer Codes and ASCII " ( July 1964 . ) There were also articles on audio and video consumer electronics, communications systems, automotive and industrial electronics.
- In practice, the value of m is typically chosen such that m = r ^ n-1 since most computer arithmetic is computed \ mod 2 ^ n-1 so there is no additional loss of data due to the code going out of bounds since the computer will also be out of bounds.
- Newton's method is particularly useful when dealing with families of related matrices that behave enough like the sequence manufactured for the homotopy above : sometimes a good starting point for refining an approximation for the new inverse can be the already obtained inverse of a previous matrix that nearly matches the current matrix, e . g . the pair of sequences of inverse matrices used in obtaining imperfect computer arithmetic.