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MATLAB Mathematics - SERC - Index of

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1<br />

Matrices and Linear<br />

Algebra<br />

Function Summary (p. 1-2)<br />

Matrices in <strong>MATLAB</strong> (p. 1-4)<br />

Solving Linear Systems <strong>of</strong> Equations<br />

(p. 1-13)<br />

Inverses and Determinants (p. 1-22)<br />

Cholesky, LU, and QR Factorizations<br />

(p. 1-27)<br />

Matrix Powers and Exponentials<br />

(p. 1-34)<br />

Eigenvalues (p. 1-38)<br />

Singular Value Decomposition (p. 1-42)<br />

Summarizes the <strong>MATLAB</strong> ® linear algebra functions<br />

Explains the use <strong>of</strong> matrices and basic matrix operations<br />

in <strong>MATLAB</strong><br />

Discusses the solution <strong>of</strong> simultaneous linear equations<br />

in <strong>MATLAB</strong>, including square systems, overdetermined<br />

systems, and underdetermined systems<br />

Explains the use in <strong>MATLAB</strong> <strong>of</strong> inverses, determinants,<br />

and pseudoinverses in the solution <strong>of</strong> systems <strong>of</strong> linear<br />

equations<br />

Discusses the solution in <strong>MATLAB</strong> <strong>of</strong> systems <strong>of</strong> linear<br />

equations that involve triangular matrices, using<br />

Cholesky factorization, Gaussian elimination, and<br />

orthogonalization<br />

Explains the use <strong>of</strong> <strong>MATLAB</strong> notation to obtain various<br />

matrix powers and exponentials<br />

Explains eigenvalues and describes eigenvalue<br />

decomposition in <strong>MATLAB</strong><br />

Describes singular value decomposition <strong>of</strong> a rectangular<br />

matrix in <strong>MATLAB</strong>

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