bin size is one of the fundamental and key parameters in 3d land seismic operation design and has an important role in the determination and calculation of other design parameters. therefore, optimization of this parameter is vital. in this study a new method for optimization of the bin size has been used. the optimization algorithm is linear and based on a mathematical model. due to the relati...

Parameter estimation or model calibration is a common problem in many areas of process modeling, both in on-line applications such as real-time flood forecasting, and in off-line applications such as the modeling of reaction kinetics and phase equilibrium. The goal is to determine values of model parameters that provide the best fit to measured data, generally based on some type of least-square...

In this paper, semi-analytical method for asymmetrical eccentrically stiffened FGM cylindrical shells under external pressure and surrounded by a linear and non-linear elastic foundation is presented. The proposed linear model is based on two parameter elastic foundation Winkler and Pasternak. According to the von Karman nonlinear equations and the classical plate theory of shells, strain-displ...

The paper describes an application of the numerical optimization methods for the design of non-adaptive multisensor arrays. The parameters and the geometry of such arrays do not change with changes in the input signals, and must be chosen in advance, depending on the array application. Generally, the goal of a non-adaptive multisensor array may be numerically expressed through its pattern funct...

A new inventory model that considers both cost and emission functions is proposed for environments where temperature-controlled items need to be stored at a certain, non-ambient temperature and to do so modular temperature-control units are used. Transportation unit capacity and storage unit capacity are considered, which results in non-linear, non-continuous cost and emissions functions. A set...

Over the past decade, a series of procedures has been introduced to estimate, using non-iterative method, linear-by-linear association parameter an ordinal log-linear model. This paper will examine two key non-iteratively determined estimates for analysis between categorical variables that form contingency table; these are log and Beh-Davy estimates, referred simply as LogNI BDNI respectively. ...

Parameter tuning is an optimization problem with the objective of finding good static parameter settings before the execution of a metaheuristic on a problem at hand. The requirement of tuning multiple control parameters, combined with the stochastic nature of the algorithms, make parameter tuning a non-trivial problem. To make things worse, one parameter vector allowing the algorithm to solve ...

This paper is on the elasto-plastic analysis of plane stress problems. A five-parameter yield surface is presented. This yield criterion uses associate flow along with mixed hardening rule. The analytical formulations are written and related computer program for non-linear analysis is prepared. Finally, based on the formulations, numerical examples are solved.

We present a new parameter-free algorithm for online linear optimization over any Hilbert space. It is theoretically optimal, with regret guarantees as good as with the best possible learning rate. The algorithm is simple and easy to implement. The analysis is given via the adversarial coin-betting game, Kelly betting and the Krichevsky-Trofimov estimator. Applications to obtain parameter-free ...

This paper is on the elasto-plastic analysis of plane stress problems. A five-parameter yield surface is presented. This yield criterion uses associate flow along with mixed hardening rule. The analytical formulations are written and related computer program for non-linear analysis is prepared. Finally, based on the formulations, numerical examples are solved.