The matrix exponential is a much-studied matrix function having many applications. The Fréchet derivative of the matrix exponential describes the first-order sensitivity of eA to perturbations in A and its norm determines a condition number for eA. Among the numerous methods for computing eA the scaling and squaring method is the most widely used. We show that the implementation of the method i...

The joint replenishment of inventory problem (JRP) requires independence of minor ordering costs. In this paper we propose an evolutionary algorithm (EA) for a modification of the JRP. The modified JRP allows for interdependence of minor ordering costs. Our proposed EA (EARP) is a nested EA that searches for a solution to minimize the total cost of inventory replenishment. It combines an EA whi...

This paper presents a co-regularization based approach to semi-supervised domain adaptation. Our proposed approach (EA++) builds on the notion of augmented space (introduced in EASYADAPT (EA) [1]) and harnesses unlabeled data in target domain to further assist the transfer of information from source to target. This semi-supervised approach to domain adaptation is extremely simple to implement a...

Enterprise Architecture (EA) continues to gain global recognition as a management tool that would improve the organization’s performance. The literature review reveals that the alignment of EA with that of the business strategy was not achieved due to inadequate EA knowledge at Top Management (TM) level. This study aims to gauge the level of EA knowledge required at TM level to enable the creat...

Enterprise architecture (EA) provides an integrated representation of an organization’s current and desirable future business capabilities, processes, systems, data and IT infrastructure. EA can interact with and enhance other organizational capabilities, including business transformation capabilities. Despite significant interest and investment in EA, there is little understanding of how EA ca...

In this paper, a novel method for tuning the design of an evolutionary algorithm (EA) is presented. The ADT method was built from a practical point of view, for including an EA into a framework for optimizing machining processes under uncertainties. The optimization problem studied, the algorithm, and the computer experiments made using the ADT method are presented with many details, in order t...

The purpose of this study was to evaluate the modifying effects of electroacupuncture (EA) and moxibustion (Mox) through the communication networks of the neuroimmune system using the two-step bacterial stimulation method. When EA or Mox treatment was implemented immediately following injection of the Streptococcus pyogenes preparation OK-432, a significant suppression of the tumor necrosis fac...

Enterprise Architecture Management (EAM) is the practice of modeling the business and IT artifacts in an enterprise and relating them with each other. By documenting these interdependencies between business and the supporting IT, strategic decisions can be made towards a planned and consolidated enterprise architecture that matches the business needs. However, enterprise architecture models can...

Enterprise Architecture (EA) models capture the fundamental elements of organizations and their relationships to serve documentation, analysis and planning purposes. As the elements and their relationships change over time, EA planning becomes increasingly complex. An analysis of existing methods shows that the complexity of dynamics is not sufficiently addressed. We argue that a sophisticated ...

Many of today’s enterprises experience the need to establish and conduct management processes to ensure closely alignment between business and IT. Enterprise architecture (EA) management provides a model-based approach to understand and evolve the complex dependencies between the enterprise constituents, as e.g. business processes and business applications. In recent years the understanding of ...