Mars Tensor# 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 Misc Tensor Manipulation Routines Basic manipulations Shape manipulation Transposition Edit dimensionalities Changing kind of tensor Joining tensors Splitting tensors Tiling tensors Adding and removing elements 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 Input and output Reading from external files Writing to external files 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 Sorting Searching Counting Statistics Order statistics Average and variances Correlating Histograms Statistical tests Special Functions Airy functions Information Theory functions Bessel functions Error functions and fresnel integrals Ellipsoidal harmonics Elliptic functions and integrals Gamma and related functions Convenience functions