Download PDF More Formats on IMF eLibrary Order a Print Copy Create Citation In forecasting economic time series, statistical models often need to be complemented with a process to impose various ...

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Operator learning is a transformative approach in scientific computing. It focuses on developing models that map functions to other functions, an essential aspect of solving partial differential ...

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Abstract: Bulk bitwise operations, i. e., bitwise operations on large bit vectors, are prevalent in a wide range of important application domains, including databases, graph processing, genome ...

Meet einx, a novel Python library developed in the tensor operations landscape, offers a streamlined approach to formulating complex tensor operations using Einstein notation. Inspired by einops, einx ...

Operators are simple symbols or keywords(reserved by python) that perform some task between two given values. These values can be string, integer, float, or any data ...