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We can represent this image as \(3\times 3\) matrix where each entry is a colour ... Since we can represent images as matrices, this allows us to use all the tools from linear algebra that we have ...
If \(A\) is a \(3\times 3\) matrix then we can apply a linear transformation to each rgb vector via matrix ... since this allows us to avoid looping over rows/columns of the image, we could just call ...
Practical applications such as image compression, least squares data fitting, and numerical solution of differential equations, will also be presented. Topics for this course include: vector and ...
Understanding and implementation of algorithms to calculate matrix decompositions such as eigenvalue/vector, LU, QR, and SVD decompositions. Applications include data-fitting, image analysis, and ...
It consists of the linear algebra part of MA212 ... kernel and image. Real inner products. Orthogonal matrices, and the transformations they represent. Complex matrices, diagonalisation, special types ...
Vector spaces, linear transformation, matrix representation, inner product spaces, isometries, least squares, generalised inverse, eigen theory, quadratic forms, norms, numerical methods. The fourth ...
3-0)3 Prerequisite: 22.515 Matrix linear algebra. Solution of algebraic equations using Gaussian elimination and decomposition variants. Eigenanalysis using various direct similarity techniques and ...
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