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Gradient Pattern Analysis: Symmetry, Gradient, Matrix (mathematics) -

English
2026-03-17
€207.26 €259.07

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High Quality Content by WIKIPEDIA articles! Gradient pattern analysis (GPA) is a geometric computing method for characterizing symmetry breaking of an ensemble of asymmetric vectors regularly distributed in a square lattice. Usually, the lattice of vectors represent the first-order gradient of a scalar field, here an M x M square amplitude matrix (mathematics). An important property of the gradient represen ... Full description

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High Quality Content by WIKIPEDIA articles! Gradient pattern analysis (GPA) is a geometric computing method for characterizing symmetry breaking of an ensemble of asymmetric vectors regularly distributed in a square lattice. Usually, the lattice of vectors represent the first-order gradient of a scalar field, here an M x M square amplitude matrix (mathematics). An important property of the gradient representation is the following: A given M x M matrix where all amplitudes are different results in an M x M gradient lattice containing NV = M2 asymmetric vectors. As each vector can be characterized by its norm and phase, variations in the M2 amplitudes can modify the respective M2 gradient pattern.

More Information

Publisher OmniScriptum
Release year 2026
Cover type Softcover
EAN 9786131167454
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€207.26 €259.07