Lagrangian relaxation is commonly used in combinatorial optimization to generate lower bounds for a minimization problem. We propose a modified Lagrangian relaxation which used i...
We study the number of ways to factor a natural number n into an ordered product of integers, each factor greater than one, denoted by H(n). This counting function from number the...
We give an improved algorithm for computing personalized PageRank vectors with tight error bounds which can be as small as (n-p ) for any fixed positive integer p. The improved Pag...
We address the problem of finding the most likely assignment or MAP estimation in a Markov random field. We analyze the linear programming formulation of MAP through the lens of...
Conditional branches connect the values of program variables with the execution paths and thus with the execution times, including the worstcase execution time (WCET). Flow analys...