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The paper compares of the multidimensional matrix algebra and the tensor algebra. It is shown that tensor algebra operations are realized in the multidimensional matrix algebra more efficiently.
Cracking the code to becoming an AI genius isn't about shortcuts—it’s a marathon of mathematical rigor, deep learning mastery ...
PDF for mathematics from the official Punjab Board website. Access chapter-wise details for mathematics with the link to ...
Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running math ...
java machine-learning multi-threading algorithm math algorithms optimization linear-algebra solver transformations least-squares polynomial arrays blas lapack sparse-matrix optimization-algorithms ...
In this study, a novel interval analysis (IA) approach for linear arrays with element pattern tolerance is proposed. This study differentiates itself from the classic interval analysis (CIA) method ...
Compared with other problem book, this one has few new basic features. They include problems dealing with polynomial matrices (Sec. 13), linear transformations of affine and metric spaces (Secs. 18 ...
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