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floating point

Be aware that floating point arithmetic is not exact; matrices that are theoretically equal are not always numerically equal.

00Improvements were made to the boundary cases of floating-point arithmetic.

00Each of these gets a chapter, along with a final chapter devoted to floating point arithmetic.

00Introduction The basic assembler, as standard, does not have any support for true floating point instructions.

00You must either write appropriate software or use a floating point coprocessor.

00Decimal Arithmetic Most computers today support binary floating-point in hardware.

00floating-point arithmetic in scripts.

00floating-point vector.

00floating-point arrays are smoothed in one pass.

00floating-point exception.

00floating-point data format 0 with the numeric storage unit set to 4 bytes.

00floating-point value to be rounded to an integer.

00Note Value is a double-precision floating-point value that represents the Julian date.

00Note The accuracy of this function is limited by the single-precision floating-point accuracy of the machine.

00Parameters: value - a double precision floating-point number.

00numeric literals containing a decimal point or an exponent sign yield floating point numbers.

00Integer Arithmetic By default, Perl assumes that it must do most of its arithmetic in floating point.

00For example, consider a floating point pipeline performing a multiplication.

00numeric literals containing a decimal point or an exponent sign yield floating point numbers.

00trilinear interpolation there are at least 8 floating point operations required for each interpolation evaluation.

00It was unusual in that it offered comparatively weak integer performance but very strong floating point performance.

00For floating point types, digits is the number of radix digits in the mantissa.

00For trilinear interpolation there are at least 8 floating point operations required for each interpolation evaluation.

00It was unusual in that it offered comparatively weak integer performance but very strong floating point performance.

00This is a measure of the sheer number of floating-point (non-whole-number) mathematical operations it can pull off in a set space of time.

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