Search Results for "fixed point"

This Python module provides basic facilities for mathematics on fixed-point numbers. The number of fractional binary digits is tunable, allowing near-arbitrary precision arithmetic. Arithmetic & functions such as sqrt, exp, log, sin & cos are available. For the latest releases please visit https://github.com/rwpenney/spfpm

MathX is a fixed-length arithmetic-types written in pure c++ templates. The goal is to provide signed-integer, unsigned-integer, IEEE-754 float-point and fixed-point types, all with specific number of bits. To this moment, only signed-integer and unsigned-integer are completed for little-endain architecture. Any compiler that support c++03 or c++11 can successfully compile MathX.

Nonlinear Krylov Acceleration (NKA) is a method for accelerating the convergence of fixed-point (Picard) iterations. Many Newton-like and inexact Newton methods are fixed point iterations. The NKA project provides the canonical implementation of the method for several programming languages. The black-box accelerator is simple to integrate into existing code. Placed in the iteration loop, it observes the sequence of solution updates and replaces them with improved updates using information it has gleaned from previous solution iterates. ...

The Lightweight Integrating Multiphysics Environment for coupling codes (LIME) is a small software package for creating multiphysics simulation codes. LIME is intended to be especially useful when separate computer codes (which may be written in any standard computer language) already exist to solve different parts of a multiphysics problem. LIME provides the key high-level software (written in C++), a well defined approach (with example templates), and interface requirements to enable the...

Experimental C++ library for performing optimized fixed-point operations using types of differing sizes and precisions. Requires C++0x extensions.

a simple software implemented FPU. only 32bit precision is supported and the operation result is not accurate as modern FPUs, but it is light and compact. (uses simple 32bit integer operations only, good for machines that has no hardware FPU.)

Magic Fixed Point, it's an library that abstracts the use of fixed point math for environments that doesn't have floating point operations or in places that you don't want to use the traditional floating point operations.

A library for fixed point calculation in s15.16, s7.24 and s7.8 format, entirely written in ANSI C for embedded software (with main focus on the Atmel AVR platforms).

This project provides a JAVA library and a graphical user interface which implement the "FastICA" algorithm based on the paper "Fast and Robust Fixed-Point Algorithms for Independent Component Analysis (ICA)" by Aapo Hyvärinen.

MIDP or some KVM implementation don't support float or double type. There is a Java Math Library implement the most math functions in a Parametric Math Fixed Point Package. This package use only integer type.