A Monte Carlo method for dynamic finite size scaling of the ising method.

Kökten, Hatice


A Decentralization Method for Hybrid State Estimators
Göl, Murat (Institute of Electrical and Electronics Engineers (IEEE), 2018-03-01)
Hybrid state estimation determines the states of systems monitored both by conventional SCADA measurements and PMUs. This paper proposes a decentralization method in order to improve the computational performance of hybrid state estimators with minimum loss of accuracy. The proposed method utilizes sensitivity matrix that relates measurement errors to state estimates in order to form the so-called isolated bus groups and observable subislands. Although the proposed decentralization method can be applied to ...
Serin, Yaşar Yasemin (1995-11-02)
The concept of partially observable Markov decision processes was born to handle the problem of lack of information about the state of a Markov decision process. If the state of the system is unknown to the decision maker then an obvious approach is to gather information that is helpful in selecting an action, This problem was already solved using the theory of Markov processes. We construct a nonlinear programming model for the same problem and develop a solution algorithm that turns out to be a policy ite...
A one-pass predictor-corrector algorithm for the inverse Langevin function
BAŞDEMİR, SELÇUK; Dal, Hüsnü (2022-01-01)
© The Author(s) 2022.Inverse Langevin function has an extensive use in statistical mechanics, polymer chemistry, and physics. Main struggle is that the inverse Langevin function cannot be expressed in an exact analytical form. To this end, many approaches to estimate the inverse Langevin function have been proposed. A trade-off can be observed between level of accuracy and mathematical complexity in the existing approximants in the literature. In the present contribution, a simple, yet efficient one-pass pr...
A two-level iterative scheme for general sparse linear systems based on approximate skew-symmetrizers
Mehrmann, Volker; Manguoğlu, Murat (2021-01-01)
We propose a two-level iterative scheme for solving general sparse linear systems. The proposed scheme consists of a sparse preconditioner that increases the norm of the skew-symmetric part relative to the rest and makes the main diagonal of the coefficient matrix as close to the identity as possible so that the preconditioned system is as close to a shifted skew-symmetric matrix as possible. The preconditioned system is then solved via a particular Minimal Residual Method for Shifted Skew-Symmetric Systems...
A Mixed integer programming method for integrated discrete time-cost trade-off and manpower resource leveling problem
Tatar, Ali Can; Sönmez, Rifat; Atan, S. Tankut; Department of Civil Engineering (2016)
Construction projects have to meet all of the objectives of scope, quality, schedule, budget simultaneously. These objectives, however, cannot be considered as independent of each other. For example, an increase in direct resources will usually lead to shorter activity durations. A shorter project duration results in lower indirect costs, whereas the additional resources cause an increase the project’s direct costs, in general. This phenomenon is defined as time-cost trade-off problem (TCTP). Nevertheless, ...
Citation Formats
H. Kökten, “A Monte Carlo method for dynamic finite size scaling of the ising method.,” Middle East Technical University, 1986.