AbstractThe spectrum of weighted graphs is often used to solve the problems in the design of networks and electronic circuits. We first give some perturbational results on the (signless) Laplacian spectral radius of weighted graphs when some weights of edges are modified; we then determine the weighted tree with the largest Laplacian spectral radius in the set of all weighted trees with a fixed number of pendant vertices and a positive weight set. Furthermore, we also derive the weighted trees with the largest Laplacian spectral radius in the set of all weighted trees with a fixed positive weight set and independence number, matching number or total independence number
We consider weighted graphs, where the edge weights are positive definite matrices. The eigenvalues ...
We consider weighted graphs, where the edge weights are positive definite matrices. The eigenvalues ...
AbstractWe consider weighted graphs, where the edge weights are positive definite matrices. In this ...
AbstractThe spectrum of weighted graphs is often used to solve the problems in the design of network...
AbstractThe spectrum of weighted graphs are often used to solve the problems in the design of networ...
AbstractDenote by T(n,q,w1,w2,…,wn-1) the set of n-vertex weighted trees with matching number q and ...
AbstractWe determine the (unique) weighted tree with the largest spectral radius with respect to the...
AbstractWe determine the (unique) weighted tree with the largest spectral radius with respect to the...
AbstractThe spectrum of weighted graphs are often used to solve the problems in the design of networ...
AbstractWe consider weighted graphs, where the edge weights are positive definite matrices. In this ...
AbstractDenote by T(n,q,w1,w2,…,wn-1) the set of n-vertex weighted trees with matching number q and ...
We consider weighted graphs, where the edge weights are positive definite matrices. The eigenvalues ...
WOS: 000298293200050Let us consider weighted graphs, where the weights of the edges are positive def...
AbstractWe consider weighted graphs, where the edge weights are positive definite matrices. The eige...
AbstractLet G be a graph; its Laplacian matrix is the difference of the diagonal matrix of its verte...
We consider weighted graphs, where the edge weights are positive definite matrices. The eigenvalues ...
We consider weighted graphs, where the edge weights are positive definite matrices. The eigenvalues ...
AbstractWe consider weighted graphs, where the edge weights are positive definite matrices. In this ...
AbstractThe spectrum of weighted graphs is often used to solve the problems in the design of network...
AbstractThe spectrum of weighted graphs are often used to solve the problems in the design of networ...
AbstractDenote by T(n,q,w1,w2,…,wn-1) the set of n-vertex weighted trees with matching number q and ...
AbstractWe determine the (unique) weighted tree with the largest spectral radius with respect to the...
AbstractWe determine the (unique) weighted tree with the largest spectral radius with respect to the...
AbstractThe spectrum of weighted graphs are often used to solve the problems in the design of networ...
AbstractWe consider weighted graphs, where the edge weights are positive definite matrices. In this ...
AbstractDenote by T(n,q,w1,w2,…,wn-1) the set of n-vertex weighted trees with matching number q and ...
We consider weighted graphs, where the edge weights are positive definite matrices. The eigenvalues ...
WOS: 000298293200050Let us consider weighted graphs, where the weights of the edges are positive def...
AbstractWe consider weighted graphs, where the edge weights are positive definite matrices. The eige...
AbstractLet G be a graph; its Laplacian matrix is the difference of the diagonal matrix of its verte...
We consider weighted graphs, where the edge weights are positive definite matrices. The eigenvalues ...
We consider weighted graphs, where the edge weights are positive definite matrices. The eigenvalues ...
AbstractWe consider weighted graphs, where the edge weights are positive definite matrices. In this ...