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The purpose of this paper (based on the relevant literature) is to: investigate, through empirical analysis, primary school teachers’ perceptions regarding their job satisfaction, and examine whether or not the personal characteristics of primary school educators (such as gender, age, family status, educational level, and the total years of service in public primary education) have any impact on their job satisfaction.

In total, 360 questionnaires were administered to primary school teachers in the metropolitan area of Athens (region of Attiki). The sample was randomly selected. The questionnaire was based on 41 closed and was divided into two sections. The Job Satisfaction Survey developed by Spector (1985) was implemented.

Greek school teachers are generally satisfied with their profession. There is no statistical correlation between personal characteristics and the overall satisfaction while indicated that teachers are more satisfied with three aspects (subscales) of job satisfaction, namely, “administration,” “colleagues” and “nature of work” and less satisfied with “salary,” “benefits” and “potential rewards.” Age correlates with the levels of satisfaction with reference to administration, potential rewards, colleagues and the nature of work. The overall satisfaction positively correlates with all nine aspects of job satisfaction (subscales) and gender affects the aspects of “promotion” and “colleagues.”

This study only analyzes a small sample from the Athens region and hence the results cannot be used to generalize about the whole of Greece. Since other Greek regions operate in different socio-economic environments, an analysis of additional data from other regions (rural and urban areas) would be necessary to compare and confirm the results.

The findings of this study a valuable extension of other relevant research as it provides the first empirical study of the Greek school system, investigating the relationship between certain aspects of job satisfaction and the personal characteristics of school educators as well as the relationship between these aspects of job satisfaction and total satisfaction. In the context of efficient educational policy, a greater understanding of educators’ job satisfaction could facilitate the development of more effective policy practice that would increase not only the level of educators’ satisfaction, commitment and morale but also improve the performance of the school system.

Investigates the efficiency of hybrid solution methods when incorporated into large‐scale topology and shape optimization problems and to demonstrate their influence on the overall performance of the optimization algorithms. Implements three innovative solution methods based on the preconditioned conjugate gradient (PCG) and Lanczos algorithms. The first method is a PCG algorithm with a preconditioner resulted from a complete or an incomplete Cholesky factorization, the second is a PCG algorithm in which a truncated Neumann series expansion is used as preconditioner, and the third is a preconditioned Lanczos algorithm properly modified to treat multiple right‐hand sides. The numerical tests presented demonstrate the computational advantages of the proposed methods which become more pronounced in large‐scale and/or computationally intensive optimization problems.