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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.
- Elementary Math
Trigonometry, exponentials and logarithms, complex values, rounding, remainders, discrete math, coordinate system conversion
- 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, partial differential equations, boundary value problems
- 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
