devxlogo

Emulating Infinite Precision of Floating Point Numbers

Emulating Infinite Precision of Floating Point Numbers

The representation of floating point numbers is just an approximation. Truncation and rounding occur frequently because the hardware cannot offer infinite precision when using a fixed number of bits. For most applications, the standard types float, double, and long double offer sufficient (albeit finite) precision. If you need infinite precision, you can use classes that encapsulate infinite precision. Such a class is available at http://www.hagins.com/jody/ipnumbers.html for free. Note that infinite precision classes tend to be slower compared to built-in floating point types. The tradeoff is between higher precision and slower execution speed.

See also  Professionalism Starts in Your Inbox: Keys to Presenting Your Best Self in Email
devxblackblue

About Our Editorial Process

At DevX, we’re dedicated to tech entrepreneurship. Our team closely follows industry shifts, new products, AI breakthroughs, technology trends, and funding announcements. Articles undergo thorough editing to ensure accuracy and clarity, reflecting DevX’s style and supporting entrepreneurs in the tech sphere.

See our full editorial policy.

About Our Journalist