activity
20022008
most citedSelf-similar factor approximants for evolution equations and boundary-value problems

20 citations · 20 across the 2 of their papers we have counts for

collaborators

6 papers

math-ph200820 cited

Self-similar factor approximants for evolution equations and boundary-value problems

E. P. Yukalova, V. I. Yukalov, S. Gluzman

The method of self-similar factor approximants is shown to be very convenient for solving different evolution equations and boundary-value problems typical of physical applications…

cond-mat.stat-mech2006

Self-similar power transforms in extrapolation problems

S. Gluzman, V. I. Yukalov

A method is suggested allowing for the improvement of accuracy of self-similar factor and root approximants, constructed from asymptotic series. The method is based on performing a…

cond-mat.stat-mech2004

Extrapolation of power series by self-similar factor and root approximants

V. I. Yukalov, S. Gluzman

The problem of extrapolating the series in powers of small variables to the region of large variables is addressed. Such a problem is typical of quantum theory and statistical phys…

physics.geo-ph2003

Towards Landslide Predictions: Two Case Studies

D. Sornette, A. Helmstetter, J. V. Andersen +3

In a previous work [Helmstetter, 2003], we have proposed a simple physical model to explain the accelerating displacements preceding some catastrophic landslides, based on a slider…

cond-mat.stat-mech2003

Summation of Power Series by Self-Similar Factor Approximants

V. I. Yukalov, S. Gluzman, D. Sornette

A novel method of summation for power series is developed. The method is based on the self-similar approximation theory. The trick employed is in transforming, first, a series expa…

cond-mat.stat-mech2002

Self-similar Approximants of the Permeability in Heterogeneous Porous Media from Moment Equation Expansions

S. Gluzman, D. Sornette

We use a mathematical technique, the self-similar functional renormalization, to construct formulas for the average conductivity that apply for large heterogeneity, based on pertur…