This paper presents a modification of the q-BFGS method for nonlinear unconstrained optimization problems. For this modification, we use simple symmetric positive definite matrix and propose new q-quasi-Newton equation, which is close to ordinary equation in limiting case. uses only first order q-derivatives build an approximate q-Hessian over number iterations. The q-Armijo-Wolfe line search c...

Abstract A real symmetric matrix is copositive if $$x^\top Ax\ge 0$$ x ⊤ A ≥ 0 for all $$x\ge . As and only it on the standard simplex, algorithms to determine copositivity, such as those in Spons...

Clinical pathways are used to guide clinicians provide a standardised delivery of care. Because their standardisation, the aim clinical is reduce variation in both care process and patient outcomes. When learning from data through mining, it common practice represent each pathway as string corresponding movements activities. Clustering techniques popular methods for therefore this paper focuses...