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From the simple assembling (concatenation or addition) of Raman and LIBS spectra to signals' processing on the basis of linear algebra (either the outer product or the outer sum), different identification patterns of several compounds (explosives, potential confusants and supports) have been built.
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By providing this basis of fundamental-time-modes, the concepts of linear algebra can be taken advantage of to accomplish model reduction and superposition for nonlinear systems.
Obtaining such a family, called a basis, and putting them into their simplest and most useful form, was an important source of many techniques in the field of linear algebra.
Some knowledge of linear algebra, R, preferred.
Knowledge of linear algebra at the level of MATH 2940.
The big picture of linear algebra: Four Fundamental Subspaces.
Electronic Journal of Linear Algebra (ELA), 12: 64-72, May 2005.
MATH 113 offers a more theoretical treatment of linear algebra.
A major application of linear algebra is to solving systems of linear equations.
The study of linear algebra begun by Cayley and continued by Leopold Kronecker includes a powerful theory of vector spaces.
Vector spaces are one of the two main ingredients of linear algebra, the other being linear transformations (or "operators" in the parlance of physicists).
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