ORTHOGONAL TRACE-SUM MAXIMIZATION: TIGHTNESS OF THE SEMIDEFINITE RELAXATION AND GUARANTEE OF LOCALLY OPTIMAL SOLUTIONS. [PDF]
Won JH, Zhang T, Zhou H.
europepmc +1 more source
Revisiting structure graphs: Applications to CBC-MAC and EMAC
In [2], Bellare, Pietrzak and Rogaway proved an O(ℓq2/2n)${O(\ell q^{2}/2^{n})}$ bound for the PRF (pseudorandom function) security of the CBC-MAC based on an n-bit random permutation Π, provided ...
Jha Ashwin, Nandi Mridul
doaj +1 more source
Modeling calcium dynamics in neurons with endoplasmic reticulum: existence, uniqueness and an implicit-explicit finite element scheme. [PDF]
Guan Q, Queisser G.
europepmc +1 more source
Inserting One Edge into a Simple Drawing is Hard. [PDF]
Arroyo A +5 more
europepmc +1 more source
Matching with Couples: a Multidisciplinary Survey [PDF]
This survey deals with two-sided matching markets where one set of agents (workers/residents) has to be matched with another set of agents (firms/hospitals). We first give a short overview of a selection of classical results.
Flip Klijn, Peter Biro
core
Completeness for the Complexity Class ∀∃R and Area-Universality. [PDF]
Dobbins MG +3 more
europepmc +1 more source
A Regularization Term Based on a Discrete Total Variation for Mathematical Image Processing
In this paper, a new regularization term is proposed to solve mathematical image problems. By using difference operators in the four directions; horizontal, vertical and two diagonal directions, an estimation of derivative amplitude is found.
Hosseini, Alireza
core
A novel algebraic technique for adjacency matrices of some derived graphs
Graph energy has been the main concern of spectral graph theory in the last five decades. The classical graph energy is the sum of the absolute values of the eigenvalues of the adjacency matrix. In many research papers, different versions of graph energy
Hacer Ozden Ayna +5 more
doaj +1 more source
Combinatorial Properties and Recognition of Unit Square Visibility Graphs. [PDF]
Casel K +4 more
europepmc +1 more source
The Convex Mixture Distribution: Granger Causality for Categorical Time Series. [PDF]
Tank A, Li X, Fox EB, Shojaie A.
europepmc +1 more source

