A Preliminary Report on the Development of MATLAB Tensor Classes for Fast Algorithm Prototyping
نویسندگان
چکیده
We describe three MATLAB classes for manipulating tensors in order to allow fast algorithm prototyping. A tensor is a multidimensional or N -way array. We present a tensor class for manipulating tensors which allows for tensor multiplication and “matricization.” We have further added two classes for representing tensors in decomposed format: cp tensor and tucker tensor. We demonstrate the use of these classes by implementing several algorithms that have appeared in the literature.
منابع مشابه
MATLAB Tensor Classes for Fast Algorithm Prototyping
Tensors (also known as multidimensional arrays or N -way arrays) are used in a variety of applications ranging from chemometrics to psychometrics. We describe four MATLAB classes for tensor manipulations that can be used for fast algorithm prototyping. The tensor class extends the functionality of MATLAB’s multidimensional arrays by supporting additional operations such as tensor multiplication...
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