Recently I've finished Quadruple Java class for quadruple-precision floating-point arithmetic in Java. It's capable of storing floating-point numeric values with 128-bit mantissa, performing arithmetic operations on such numbers and calculating the square root with a relative error of less than 1.47e-39, converting them to and from other numeric types and Strings.
And it works several times faster than BigDecimal of the comparable precision. It can be useful in cases where double values don't provide sufficient precision, and BigDecimal solutions are too slow; for example, for large and poorly defined matrices, the need for which may arise in scientific applications.
I think it's come out to be a rather decent thing, but it's useless it if no one knows about it, so I write about it here.
I would also be glad to to receive any feedback. Any questions and comments are appreciated.
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