Results 211 to 220 of about 917,126 (263)
The dominance of large-scale phase dynamics in human cortex, from delta to gamma. [PDF]
ElifeAlexander DM, Dugué L.
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Collaborative representation based on enhanced tensor robust PCA for hyperspectral anomaly detection. [PDF]
PLoS OneA R, Zhong CL, Wang S, Gao Q.
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Removal of cardiogenic oscillations during pressure support ventilation using sliding window singular spectrum analysis: proof-of-concept. [PDF]
Biomed Eng OnlinePagano PP, Ciaccio EJ.
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New Considerations Around the Singular Water Temperature Explaining the Anomalous Behavior of Liquid Phase. [PDF]
Int J Mol SciMallamace D +3 more
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Surface roughness profile separation using singular spectrum analysis. [PDF]
PLoS OnePang Z, Gan X, Kong M.
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The <i>REAL</i> journey: a meaning-oriented approach to moral injury care. [PDF]
Front PsychiatrySmigelsky MA.
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2020
In Chapter 3, we learned that certain types of matrices, which are referred to as positive semidefinite matrices, can be expressed in the following form: $$\displaystyle A= V \varDelta V^T $$ Here, V is a d × d matrix with orthonormal columns, and Δ is a d × d diagonal matrix with nonnegative eigenvalues of A. The orthogonal matrix V can also be
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In Chapter 3, we learned that certain types of matrices, which are referred to as positive semidefinite matrices, can be expressed in the following form: $$\displaystyle A= V \varDelta V^T $$ Here, V is a d × d matrix with orthonormal columns, and Δ is a d × d diagonal matrix with nonnegative eigenvalues of A. The orthogonal matrix V can also be
+4 more sources
SIAM Journal on Control and Optimization, 2009
We give a necessary and sufficient condition for the existence of a matrix $F$ such that the singular values of $A+BF$ are the prescribed values. We also give a simple algorithm to compute $F$ if the prescribed values satisfy the condition.
Clyde F. Martin, Xiaochang A. Wang
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We give a necessary and sufficient condition for the existence of a matrix $F$ such that the singular values of $A+BF$ are the prescribed values. We also give a simple algorithm to compute $F$ if the prescribed values satisfy the condition.
Clyde F. Martin, Xiaochang A. Wang
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2018
In Chap. 4 we learned how to diagonalize a square matrix using the Eigen decomposition. Eigen decomposition has many uses, but it has a limitation: it can only be applied to a square matrix. In this chapter, we will learn how to extend the decomposition to a rectangular matrix using a related method known as a Singular Value Decomposition (SVD ...
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In Chap. 4 we learned how to diagonalize a square matrix using the Eigen decomposition. Eigen decomposition has many uses, but it has a limitation: it can only be applied to a square matrix. In this chapter, we will learn how to extend the decomposition to a rectangular matrix using a related method known as a Singular Value Decomposition (SVD ...
openaire +2 more sources