Скачать или смотреть Getting Down in the Bits with Boost.Multiprecision

If your application needs more precision than the built-in integer or floating-point types, C++ provides facilities for creating your own data types that can fulfill this need. There are a variety of libraries that provide such facilities, each with their own class names and API. Boost.Multiprecision provides a unified way of interacting with multiple precision integer, rational, real (floating-point) and complex number data types.

This month, Richard Thomson will give us an introduction to using Boost.Multiprecision for floating-point types in order to perform arbitrary zooms into the well known Mandelbrot set fractal.

Example code: https://github.com/LegalizeAdulthood/...

Boost.Multiprecision: https://www.boost.org/doc/libs/latest...

Meetup: https://www.meetup.com/utah-cpp-progr...
Future topics: https://utahcpp.wordpress.com/future-...
Past topics: https://utahcpp.wordpress.com/past-me...

0:00:00 Introduction
0:01:00 Documentation
0:06:00 Expression Templates
0:10:15 Specifying Precision
0:11:54 Heap vs. Stack Storage
0:13:54 Documentation Examples
0:16:15 Checked Types
0:22:10 Calling Math Functions
0:27:54 cpp_int Backend
0:31:14 Double double Backend
0:35:07 Interval Number Type
0:36:35 Rational Number Type
0:37:10 Conversions
0:38:25 Numeric Limits Support
0:39:36 Hash Function Support
0:40:05 Eigen Support
0:40:19 Adding a Backend
0:40:48 number Reference
0:44:02 Mandelbrot Set Example
1:02:52 Stupid Deep Zooms
1:05:08 Locating with CMake
1:06:05 GNU Backends
1:07:00 Template Advice
1:08:04 Conclusion