We are determined to change the situation by developing high-performance numerical libraries for computations with arbitrary precision, tuned for modern CPU architectures, multi-core parallelism and relying on recent state-of-the-art algorithms. Their codes were written decades ago using textbook algorithms, without proper optimization nor updates for the latest hardware. Indeed, mainstream numerical software packages are largely responsible for this false perception.

There is a common misbelief that arbitrary precision computations are very slow. Please visit the Function Reference page for a complete list of supported functions and User’s Manual for usage examples. Ordinary differential equations solvers.Numerical integration (including adaptive quadgk and full set of Gaussian quadrature).Solvers for system of nonlinear equations ( fsolve with Levenberg-Marquardt and other trust region methods).Eigenvalues and eigenvectors including generalized and large-scale problems.Matrix analysis functions and factorizations.Solvers for system of linear equations (including direct and iterative sparse solvers).

Elementary and special mathematical functions.Real and complex numbers, full and sparse matrices, multidimensional arrays.Toolbox provides a comprehensive library of computational routines covering the following areas: Quadruple precision computations (compliant with IEEE 754-2008) are supported as a special case. As a result, existing MATLAB programs can be converted to run with arbitrary precision with minimal changes to source code. The multiprecision numbers and matrices can be seamlessly used in place of the built-in double entities following standard MATLAB syntax rules. The toolbox equips MATLAB with a new multiple precision floating-point numeric type and extensive set of mathematical functions that are capable of computing with arbitrary precision. The Multiprecision Computing Toolbox is the MATLAB extension for computing with arbitrary precision.

Matlab symbolic toolbox and fsolve