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Source: The Open Library
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1Non-negative Matrices and Markov Chains
By E. Seneta

“Non-negative Matrices and Markov Chains” Metadata:
- Title: ➤ Non-negative Matrices and Markov Chains
- Author: E. Seneta
- Language: English
- Number of Pages: Median: 294
- Publisher: Springer
- Publish Date: 2006
“Non-negative Matrices and Markov Chains” Subjects and Themes:
- Subjects: ➤ Non-negative matrices - Matrices non négatives - Markov processes - Processus de Markov - Matrices - Statistics - Distribution (Probability theory) - Mathematical statistics - Probability Theory and Stochastic Processes - Statistical Theory and Methods
Edition Identifiers:
- The Open Library ID: OL7445200M
- Online Computer Library Center (OCLC) ID: 66320616
- Library of Congress Control Number (LCCN): 2005935207
- All ISBNs: 0387297650 - 9780387297651
Access and General Info:
- First Year Published: 2006
- Is Full Text Available: No
- Is The Book Public: No
- Access Status: Unclassified
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Definite matrix
permitting the matrices to be non-symmetric or non-Hermitian. The properties of these generalized definite matrices are explored in § Extension for non-Hermitian
Nonnegative matrix
than zero. The set of positive matrices is the interior of the set of all non-negative matrices. While such matrices are commonly found, the term "positive
Non-negative matrix factorization
(usually) two matrices W and H, with the property that all three matrices have no negative elements. This non-negativity makes the resulting matrices easier
Matrix (mathematics)
{\displaystyle 2\times 3} . In linear algebra, matrices are used as linear maps. In geometry, matrices are used for geometric transformations (for example
Sign (mathematics)
among other objects to vectors, matrices, and complex numbers, which are not prescribed to be only either positive, negative, or zero. The word "sign" is
List of named matrices
article lists some important classes of matrices used in mathematics, science and engineering. A matrix (plural matrices, or less commonly matrixes) is a rectangular
Perron–Frobenius theorem
positive and non-negative respectively describe matrices with exclusively positive real numbers as elements and matrices with exclusively non-negative real numbers
Triangular matrix
and lower triangular is diagonal. Matrices that are similar to triangular matrices are called triangularisable. A non-square (or sometimes any) matrix
Negative number
English "positive or zero" and "negative or zero" respectively. Struik, pages 32–33. "In these matrices we find negative numbers, which appear here for
Rotation matrix
article. Rotation matrices are square matrices, with real entries. More specifically, they can be characterized as orthogonal matrices with determinant