Mathematics

Linear algebra, differentiation and integrals, Fourier transforms, and other mathematics

Math functions provide a range of numerical computation methods for analyzing data, developing algorithms, and creating models. Core functions use processor-optimized libraries for fast vector and matrix calculations.

Categories

Elementary Math
Trigonometry, exponentials and logarithms, complex values, rounding, remainders, discrete math
Linear Algebra
Linear equations, eigenvalues, singular values, decomposition, matrix operations, matrix structure
Random Number Generation
Seeds, distributions, algorithms
Interpolation
Gridded and scattered data interpolation, data gridding, piecewise polynomials
Optimization
Minimum of single and multivariable functions, nonnegative least-squares, roots of nonlinear functions
Numerical Integration and Differential Equations
Numerical integration, ordinary differential equations, delay differential equations, boundary value problems, partial differential equations
Fourier Analysis and Filtering
Fourier transforms, convolution, digital filtering
Sparse Matrices
Elementary sparse matrices, reordering algorithms, iterative methods, sparse linear algebra
Graph and Network Algorithms
Directed and undirected graphs, network analysis
Computational Geometry
Triangulation, bounding regions, Voronoi diagrams, polygons
Quantum Computing
Gate-based quantum computing and quadratic unconstrained binary optimization