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Because all eigenvalues are positive, matrix is positive definite.
Because all the eigenvalues are positive, matrix is positive definite.
We also do not need to find a common positive matrix P to satisfy any inequality.
Positive Matrix Factorization (PMF) was then applied to determine the source contributions.
This kernel function is a positive matrix [77, Ch. 2, Sect.
Let X be any density matrix and let Y be any positive matrix.
If A ≥ 0 (>0), we say that A is a nonnegative (positive) matrix.
PM2.5 total mass and chemical constituents were collected from ambient monitors and PM2.5 sources were quantified using Positive Matrix Factorization.
Trends in concentrations, source contribution, and incremental excesses across three sites were investigated using the Positive Matrix Factorization model.
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Notations: P > 0 ( P ≥ 0 ) means P is a symmetric positive (semi-positive) matrix.
Let (A=(a_{ij})) be an off-diagonal non-positive matrix, (a_{ii}>0), (iinLambda).
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