Sparse Approximation

Sparse approximation (also referred to as sparse decomposition) is the problem of estimating a sparse multi-dimensional vector, satisfying a linear system of equations given high-dimensional observed data and a design matrix. Sparse approximation techniques have found wide use in applications such as image processing, audio processing, biology, and document analysis.

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List Of Numerical Analysis Topics - Numerical Linear Algebra - Solving Systems of Linear Equations
... to turn an inaccurate solution in a more accurate one Direct methods for sparse matrices Frontal solver — used in finite element methods Nested dissection — for symmetric matrices, based on graph ...

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