Random Matrix Theory and Phase Transitions Publication Trend The graph below shows the total number of publications each year in Random Matrix Theory and Phase Transitions.

If all the Seidel eigenvalues of the graph G are integers, then G is called a Seidel integer graph. In this paper, we apply methods from algebraic and matrix theory to obtain the Seidel eigenvalue ...

Such a graph is inferred from the matrix-valued neuroimaging data such as electroencephalography and functional magnetic resonance imaging. There have been a good number of successful proposals for ...

Graph theory is an integral component of algorithm design that underlies sparse matrices, relational databases, and networks. Improving the performance of graph algorithms has direct implications to ...

This is the power of graph theory. However, graph theory doesn’t stop at social networks. It finds applications in everything from brain signal processing to solving Sudoku and airline scheduling.

Graph Theory Matrix Approach (GTMA) is moving with great speed into the main stream of computer design, Information sciences, Information and Computer programming, Artificial Intelligence and design, ...

In this paper, the design of matrix filter using discrete cosine transform (DCT) and path graph is presented. First, the DCT is used to design matrix filter without considering the prior information ...