In this work, we present a numerical method for solving nonlinear Fredholmand Volterra integral equations of the second kind which is based on the useof Block Pulse functions(BPfs) and collocation method. Numerical examplesshow eciency of the method.

This paper discusses and reviews the use of super-eciency approach in data envelopment analysis (DEA) sensitivity analyses. It is shown that super-eciency score can be decomposed into two data perturbation components of a particular test frontier decision making unit (DMU) and the remaining DMUs. As a result, DEA sensitivity analysis can be done in (1) a general situation where data for a tes...

This paper empirically investigates the x-eciency (technical and allocative) in Australian banks. A non-parametric method of Data Envelopment Analysis (DEA) has been used to arrive at the eciency scores. Banks in this sample were found to have low levels of overall eciency compared with the banks in the European countries and in the US. The results indicate that, as a source of overall inec...

In dynamic object-oriented languages, low-level mechanisms such as just-in-time compilation, object allocation, garbage collection (GC) and method dispatch are o‰en handled by virtual machines (VMs). VMs are typically implemented using static languages, allowing only few changes at run time. In such systems, the VM is not part of the language and interfaces to memory management or method dispat...

In this paper, we use an input oriented chance-constrained DEA model withrandom inputs and outputs. A super-eciency model with chance constraintsis used for ranking. However, for convenience in calculations a non-linear deterministicequivalent model is obtained to solve the models. The non-linearmodel is converted into a model with quadratic constraints to solve the nonlineardeterministic model...

In this paper, the homotopy analysis method (HAM) is considered to obtain the solution of the Schrodinger equation with a power law nonlinearity. For this purpose, a theorem is proved to show the convergence of the series solution obtained from the proposed method. Also, an example is solved to illustrate the eciency of the mentioned algorithm and the h-curve is plotted to determine the region ...

In this paper, seventh-order iterative methods for the solution ofnonlinear equations are presented. The new iterative methods are developed byusing weight function method and using an approximation for the last derivative,which reduces the required number of functional evaluations per step. Severalexamples are given to illustrate the eciency and the performance of the newiterative methods.

STRAND execution model may be extended with a set of Linda-like operations and a concept of tuple space. The STRAND tuple space is orthogonal to STRAND process pool. Processes may access STS objects without setting up a shared data structure connection rst. Connection is established only for the time of the call duration. There is a wide class of problems that could be programmed more easily an...

This paper presents a method for revising an approximate domain theory based on noisy data. The basic idea is to avoid making changes to the theory that account for only a small amount of data. This method is implemented in the EITHER propositional Horn-clause theory revision system. The paper presents empirical results on articially corrupted data to show that this method successfully prevents...