Stochastic reservoir models must honor as much input data as possible to be reliable numerical models of the reservoir under study. Traditional simulation algorithms are unable to honor either complex geological/morphological patterns or engineering data from well tests. The technique developed in this dissertation may be used to incorporate such information into stochastic reservoir models. Th...

Marc Kamionkowski California Institute of Technology, Mail Code 350-17, Pasadena, California 91125, USA (Received 21 April 2010; revised manuscript received 28 April 2010; published 25 August 2010) The CMB constrains the cosmological-birefringence rotation angle to be j j & 1 (1 ) out to redshifts z ’ 1100 for a rotation that is uniform across the sky. However, the rotation angle ð ; Þ may vary...

Introduction Non-growing scale-free networks represent an interesting class of complex networks. Compared to growing networks, which have been studied in many different scenarios with great success [1, 2, 3], they aim at modeling situations where a complex topology different from purely random is emerging but no growth process is present. There are many examples, mainly in biology (see [4] and ...

This paper deals with the optimal control problem of systems with state linear equality constraints. For deterministic linear systems, first we find various existence conditions for constraining state feedback control and determine all constraining feedback gains, from which the optimal feedback gain is derived by using the result of singular optimal control. For systems with stochastic process...

In this paper, several portfolio selection problems with normal mixture distributions including fuzziness are proposed. Until now, many researchers have proposed portfolio models based on the stochastic approach, and there are some models considering both random and ambiguous conditions, particularly using fuzzy random or random fuzzy variables. However, the model including normal mixture distr...

Backtracking search algorithm is a novel population-based stochastic technique. This paper proposes an improved backtracking search algorithm for constrained optimization problems. The proposed algorithm is combined with differential evolution algorithm and the breeder genetic algorithm mutation operator. The differential evolution algorithm is used to accelerate convergence at later iteration ...

The purpose of the study was to identify the constrains affecting urban agriculture in Tehran, Iran. The statistical population of this study consisted of city dwellers within the 22 municipal districts of Tehran out of which 320 individuals were selected as the sample of the study. Cochran’s formula was used to determine the sampling size based on stratified sampling method. A panel of experts...