1,721,040 research outputs found
Convertible, Nearly Decomposable and Nearly Reducible Matrices
Shader, Bryan L.. (1992). Convertible, Nearly Decomposable and Nearly Reducible Matrices. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/1833
Strong hall matrices
Brualdi, Richard A.; Shader, Bryan L.. (1991). Strong hall matrices. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/1797
Tournament matrices with extremal spectral properties
Kirkland, Stephen J.; Shader, Bryan L.. (1992). Tournament matrices with extremal spectral properties. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/2143
Combinatorial orthogonality
Beasley, LeRoy B.; Brualdi, Richard A.; Shader, Bryan L.. (1991). Combinatorial orthogonality. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/1795
On Multipartite Tournament Matrices with Constant Team Size
Kirkland, Steve; Shader, Bryan L.. (1992). On Multipartite Tournament Matrices with Constant Team Size. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/1803
Conditional sign-solvability
Brualdi, Richard A.; Chavey, Keith L.; Shader, Bryan L.. (1992). Conditional sign-solvability. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/1848
Bipartite graphs and inverse sign patterns of strong sign-nonsingular matrices
Brualdi, Richard A.; Chavey, Keith L.; Shader, Bryan L.. (1993). Bipartite graphs and inverse sign patterns of strong sign-nonsingular matrices. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/2381
Cramer's rule applied to flexible systems of linear equations
Abstract. Systems of linear equations, called flexible systems, with coefficients having uncertainties of type o (.) or O (.) are studied. In some cases an exact solution may not exist but a general theorem that guarantees the existence of an admissible solution, in terms of inclusion, is resented.
This admissible solution is produced by Cramer’s Rule; depending on the size of the uncertainties appearing in the matrix of coefficients and in the constant term vector some adaptations may be needed
Going Beyond Counting First Authors in Author Co-citation Analysis
The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
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