Mathematics
R2026bLinear 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
Random numbers, streams, generator algorithms, and seeds
- 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, and polygons
- Quantum Computing
Gate-based quantum computing and quadratic unconstrained binary optimization
