Routines

The following pages describe Numpy-compatible routines. These functions cover a subset of NumPy routines.

• Tensor Creation Routines
  • Basic creation routines
  • Creation from other data
  • Numerical ranges
  • Building matrices
• Tensor Manipulation Routines
  • Basic manipulations
  • Shape manipulation
  • Transposition
  • Edit dimensionalities
  • Changing kind of tensor
  • Joining tensors
  • Splitting tensors
  • Tiling tensors
  • Rearranging elements
• Binary Operations
  • Elementwise bit operations
• Discrete Fourier Transform
  • Standard FFTs
  • Real FFTs
  • Hermitian FFTs
  • Helper routines
• Indexing Routines
  • Generating index arrays
  • Indexing-like operations
• Linear Algebra
  • Matrix and vector products
  • Decompositions
  • Norms and other numbers
• Logic Functions
  • Truth value testing
  • Array contents
  • Array type testing
  • Logic operations
  • Comparison
• Mathematical Functions
  • Trigonometric functions
  • Hyperbolic functions
  • Rounding
  • Sums, products, differences
  • Exponential and logarithms
  • Other special functions
  • Floating point routines
  • Arithmetic operations
  • Handling complex numbers
  • Miscellaneous
• Random Sampling
  • Sample random data
  • Distributions
  • Random number generator
• Set routines
  • Boolean operations
• Sorting, Searching, and Counting
  • Searching
  • Counting
• Statistics
  • Order statistics
  • Average and variances
  • Correlating
  • Histograms