floating point arithmetic वाक्य
उदाहरण वाक्य
मोबाइल
- The claimed credit by each machine for an identical work unit often varies due to very minor differences in floating point arithmetic on different processors.
- Floating point arithmetic was an available option, as were octal input / output, logical operations, and base conversion to / from decimal instructions.
- The 3300 and 3500 had optional relocation capabilities, floating point arithmetic, and " BDP " ( Business + Data Processing ) instructions.
- An important consideration in practice when the function is calculated using floating point arithmetic is how small a value of " h " to choose.
- :The specific example our OP gives has 16 digits of precision-and that is ( essentially ) the upper limit for double-precision floating point arithmetic.
- On computational floating point arithmetic, this equation should not be used, because it suffers from catastrophic cancellation if the two components of the equation are similar in magnitude.
- The two register sets also turned out to be quite useful for heavily optimized manual assembly-language coding, such as for floating point arithmetics or home computer games.
- When a math coprocessor is paired with the 386, the coprocessor performs the floating point arithmetic in hardware, returning results much faster than an ( emulating ) software library call.
- As a result, 1 / 10 does not have a finite binary representation, and this causes 10 ?0.1 not to be precisely equal to 1 in floating point arithmetic.
- This features : larger local stores ( 64kb ), 64bit addressing, double precision floating point arithmetic or SIMD single precision, and 64bit integer instructions, implemented in the 16nm process node.
- It is for this reason that many are surprised to discover that 0.1 + . . . + 0.1, ( 10 additions ) differs from 1 in floating point arithmetic.
- Sometimes relative error is used to measure the difference between the approximation and the function, especially if the approximation will be used to compute the function on a computer which uses floating point arithmetic.
- Despite the simple formula for the probability density function, numerical probability calculations for the inverse Gaussian distribution nevertheless require special care to achieve full machine accuracy in floating point arithmetic for all parameter values.
- While useful for hand calculations, it is not advised for computer calculations as it suffers from catastrophic cancellation if the two components of the equation are similar in magnitude and floating point arithmetic is used.
- Maple and SageMath return an error message for 1 / 0, and infinity for 1 / 0.0 ( 0.0 tells these systems to use floating point arithmetic instead of algebraic arithmetic ).
- However, commentators quickly responded that his ideas are just a variation of the standard IEEE 754 concept of NaN ( Not a Number ), which has been commonly employed on computers in floating point arithmetic for many years.
- Additionally, the 7400 has enhanced support for symmetric multiprocessing ( SMP ) thanks to an improved cache coherency protocol ( 603 series had a 32-bit FPU, which took two clock cycles to accomplish 64-bit floating point arithmetic.
- The relative performance of software BKM implementation in comparison to other methods such as polynomial or rational approximations will depend on the availability of fast multi-bit shifts ( i . e . a barrel shifter ) or hardware floating point arithmetic.
- However, in computer floating point arithmetic, all operations can be viewed as being performed on antilogarithms, for which the rules for significant figures indicate that the number of sigfigs remains the same as the smallest number of sigfigs in the mantissas.
- However, in practice ( as the calculations are performed in floating point arithmetic where inaccuracy is inevitable ), the orthogonality is quickly lost and in some cases the new vector could even be linearly dependent on the set that is already constructed.
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