Primitive computers often must implement the Horner algorithm to perform operations on them, and accuracy on multiple iterations of them can be improved using the Kahan summation algorithm. A bias of 127 is usually added to them, and they also contain a mantissa, sometimes called a significand. The current standard for these is IEEE ["I-Triple-E"] 754, and (*) subtraction on these is complicated by a namesake roundoff error. This data type is less precise than the "double," and operations on them are measured in flops. For 10 points, name these representations of decimals in languages like C++, often contrasted with integers and more computationally imposing than the
Primitive computers often must implement the Horner algorithm to perform operations on them, and accuracy on multiple iterations of them can be improved using the Kahan summation algorithm. A bias of 127 is usually added to them, and they also contain a mantissa, sometimes called a significand. The current standard for these is IEEE ["I-Triple-E"] 754, and (*) subtraction on these is complicated by a namesake roundoff error. This data type is less precise than the "double," and operations on them are measured in flops. For 10 points, name these representations of decimals in languages like C++, often contrasted with integers and more computationally imposing than their "fixed" counterparts.
Primitive computers often must implement the Horner algorithm to perform operations on them, and accuracy on multiple iterations of them can be improved using the Kahan summation algorithm.
{floating} point {numbers} [or {floats}; or {floating} points]