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SAND2004-5189 Printed October 2004 SANDRA REPORT SAND2004-XXXX Unlimited Release Printed October 2004 MATLAB Tensor Classes for Fast Algorithm Prototyping: Source Code Brett W. Baker and Tamara G.
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The Materials Processing Laboratory at Livermore National Laboratories is a Department of Energy national laboratory operated by Oak Ridge National Laboratory, a component of the U.S. Department of Energy. The Chemistry and Materials Sciences Directorate and the Materials Sciences and Engineering Directorate are components of the Physics and Astronomy Directorate of Los Alamos National Laboratory, a component of the U.S. Department of Energy. The Joint Institute for Nuclear Research is operated by Sandra National Laboratories, a Department of Energy national laboratory, for the Naval Weapons Station, Weapons Division. The Laboratory is managed by the U.S. Department of Energy's Office of Science. The Office of Science is the single largest supporter of basic research in the physical sciences in the United States, and is working to address some of the most pressing challenges of our time. The Office of Science is working to address some of the most pressing challenges of our time.

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Matlab tensor classes are used to represent and manipulate multi-dimensional arrays efficiently. They provide a way to store and operate on data with higher dimensions than traditional matrices or vectors.
There is no specific requirement for filing matlab tensor classes as they are not a filing entity. They are a programming tool used in Matlab software.
Matlab tensor classes are created and filled out programmatically using Matlab syntax. The specific methods and functions will depend on the desired operations and data being worked with.
The purpose of matlab tensor classes is to provide a powerful tool for handling and manipulating multi-dimensional data in Matlab. They enable efficient computations and operations on data with complex structures.
As matlab tensor classes are not for reporting purposes, there is no specific information that needs to be reported on them.
There is no deadline for filing matlab tensor classes as they are not a filing requirement.
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