Halıcı, Uğur


Solving the forward problem of electrical source imaging by applying the reciprocal approach and the finite difference method
Ahi, Sercan Taha; Gençer, Nevzat Güneri; Department of Electrical and Electronics Engineering (2007)
One of the goals of Electroencephalography (EEG) is to correctly localize brain activities by the help of voltage measurements taken on scalp. However, due to computational difficulties of the problem and technological limitations, the accuracy level of the activity localization is not perfect and should be improved. To increase accuracy level of the solution, realistic, i.e. patient dependent, head models should be created. Such head models are created via assigning realistic conductivity values of head ti...
Solving optimal investment problems with structured products under CVaR constraints
Korn, Ralf; Zeytun, Serkan (Informa UK Limited, 2009-01-01)
We consider a simple investment problem where besides stocks and bonds the investor can also include options (or structured products) into the investment portfolio. The aim of the investor is to maximize the expected return under a conditional value-at-risk (CVaR) constraint. Due to possible intermediate payments, we have to deal with a re-investment problem which turns the original one-period problem into a multi-period one. For solving this problem, an iterative scheme based on linear optimization is deve...
Solving optimal control time-dependent diffusion-convection-reaction equations by space time discretizations
Seymen, Zahire; Karasözen, Bülent; Department of Mathematics (2013)
Optimal control problems (OCPs) governed by convection dominated diffusion-convection-reaction equations arise in many science and engineering applications such as shape optimization of the technological devices, identification of parameters in environmental processes and flow control problems. A characteristic feature of convection dominated optimization problems is the presence of sharp layers. In this case, the Galerkin finite element method performs poorly and leads to oscillatory solutions. Hence, thes...
Solving Constrained Optimal Control Problems Using State-Dependent Factorization and Chebyshev Polynomials
Gomroki, Mohammad Mehdi; Topputo, Francesco; Bernelli-Zazzera, Franco; Tekinalp, Ozan (2018-03-01)
The present work introduces a method to solve constrained nonlinear optimal control problems using state-dependent coefficient factorization and Chebyshev polynomials. A recursive approximation technique known as approximating sequence of Riccati equations is used to replace the nonlinear problem by a sequence of linear-quadratic and time-varying approximating problems. The state variables are approximated and expanded in Chebyshev polynomials. Then, the control variables are written as a function of state ...
Solving optimal control problems for the unsteady Burgers equation in COMSOL Multiphysics
YILMAZ, FİKRİYE NURAY; Karasözen, Bülent (2011-06-15)
The optimal control of unsteady Burgers equation without constraints and with control constraints are solved using the high-level modelling and simulation package COMSOL Multiphysics. Using the first-order optimality conditions, projection and semi-smooth Newton methods are applied for solving the optimality system. The optimality system is solved numerically using the classical iterative approach by integrating the state equation forward in time and the adjoint equation backward in time using the gradient ...
Citation Formats
M. SUNGUR and U. Halıcı, “SOLVING THE SERIALIZABILITY PROBLEM BY A CONNECTIONIST MACHINE,” 1993, Accessed: 00, 2020. [Online]. Available: