Family, Statement and Institution: The Secular Clergy in the Kingdom of Cordova in the Mid-Eighteenth Century. The Case of Lucena
Abstract This contribution is part of a larger project currently being developed, focusing on the study of family structure, economic, social and institutional secular clergy of the kingdom of Cordova through the Ecclesiastic Books, Haciendas Families Books and Ecclesiastical cadastre of the Marquis of Ensenada. This text is just a preview of that through, in particular of the most important center of Cordova Subbaetic by the number of clergy and church institutions as it was during the old Regime Lucena, and only their families in church books. Well-known source of the responses emanating from that particular survey magna Bourbon with the great servant of Fernando VI sought the wealth of his subjects of the crown of Castile to apply the Single Tax, this documentary is, however, largely untapped from the triple perspective here will be-hence the interest in this development, real contribution, then, modernist historiography, and to be viewed, analyzed and understood in the context of a state increasingly need to know, monitor and control their subjects to rule, as it was, in short, illustrated. Basic methodology for obtaining our threefold purpose indicated is the quantification and subsequent statistical system is indispensable in this case, to fully understand the text it supports. Finally, a second phase focused on the analysis of the books of ecclesiastical estates now rounded results are presented, as defined by the economic situation of the group examined.
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ISO 16739 (2013). Industry Foundation Classes (IFC) for data sharing in the construction and facility management industries. The International Organization for Standardization
J. KENNEDY, R. C. EBERHART, Particle swarm optimization, in: IEEE International Conference on Neural Networks, Piscataway, New Jersey, 1995, pp. 1942-1948
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A. K. KORDON, Applied computational intelligence – how to create value, Springer, Berlin Heidelberg, 2007.
K. MACEK, K. MACÍK, A methodology for quantitative comparison of control solutions and its application to HVAC (heating, ventilation and air conditioning) systems, Energy, 44 (1) (2012) 117-125
K. MACEK, V. BICÍK, J. ROJÍCEK, Trajectory optimization under changing conditions through evolutionary approach and black-box models with refining, Advances in Intelligent Systems and Computing 217 (2013) 267-274
K. MACÍK, J. ROJÍCEK, P. STLUKA, J. VASS, Advanced HVAC Control: Theory vs. Reality, in: Preprints of the 18th IVAC World Congress, Milano, Italy, 2011, pp. 3108-3113
F. OLDEWURTEL, A. PARISIO, C. N. JONES, D. GYALISTRAS, M. GWERDER, V. STAUCH, B. LEHMANN, M. MORARI, Use of model predictive control and weather forecasts for energy efficient building climate control, Energy and Buildings, 45 (2012), 15-27
S.J. QIN, T.A. BADGWELL, A survey of industrial model predictive control technology Control Engineering Practice, 11 (2003) 733–764
C. RASMUSSEN, C. K. I. WILLIAMS, Gaussian processes for machine learning, The MIT Press, Cambridge, Massachusetts, 2006
R. ROJAS, Neural networks – a systematic introduction, Springer, Berlin, 1996
J. ROJÍCEK, R. FIŠERA, G.D. KONTES, G.I. GIANNAKIS, D.V. ROVAS, Functional and technological definition of BIM-aware services to Assess, Predict and Optimize energy performance of buildings. In Proceedings 2nd Central European Symposium on Building Physics, Vienna, Austria, September 9-11, 2013. (To Appear)
R. STORN, K. PRICE, Differential evolution – a simple and efficient heuristic for global optimization, Journal of Global Optimization, 11 (1997), 341-359
M. STRELEC, K. MACEK, A. ABATE, Modeling and simulation of a microgrid as a stochastic hybrid system, in: Proceedings of the IEEE PES Innovative Smart Grid Technologies, Berlin, Germany, 2012, pp. 1-9.
C. VALMACEDA, K. KATSIGARAKIS, M.A. GARCIA FUENTES, J. L. HERNANDEZ GARCIA, G.D. KONTES, D.V. ROVAS, An event-driven SOA-based platform for energy-efficiency applications in buildings, CIBW78 2013, Beijing, China (To appear).
L. WASSERMAN, All of nonparametric statistics, Springer, New York, 2006
S. WOLD, Principal component analysis, Chemometrics and Intelligent Laboratory Systems, 2 (1) (1997), 37-52
E. ZACEKOVA, L. FERKL, Building modeling and control using multi-step ahead error minimization, in: Proceedings of Mediterranean Conference Control & Automation, Barcelona, Spain, 2012, pp. 421-426.
M. J. GANCO, R. ALCALA, F.HERRENA, A multi-objective evolutionary algorithm for an effective tuning of fuzzy logic controllers in heating, ventilating and air conditioning systems, Applied Intelligence, 36 (2) (2012), 330-347
GUYON, I., ELISEEFF, A., An introduction to variable and feature selection, The Journal of Machine Learning Research, 3 (2003) 1157-1182
N. HANSEN, A. OSTERMEIER, Adapting arbitrary normal mutation distributions in evolution strategies: The covariance matrix adaptation. in: Proceedings of IEEE International Conference on Evolutionary Computation, Nagoya, Japan, 1996, pp. 312-317
P. HAVES, B. HENCEY, F. BORELLI, J. ELLIOT, Y. MA, B. COFFEY, S. BENGEA, M. WETTER, Model predictive control of HVAC systems: implementation and testing at the University of California, Merced, technical report, Lawrence Berkeley National Laboratory, Berkeley, California, 2010.
G. P. HENZE, S. LIU, Experimental analysis of simulated reinforcement learning control for active and passive building thermal storage inventory: Part 1. theoretical foundation, Energy and Buildings, 38 (2) (2006), 142-147
M. HU, J. D. JEFFERY, T.WU, Peak load shifting control using a mimetic algorithm, European Journal on Operational Research, 217 (1) (2012), 185-197
ISO 16739 (2013). Industry Foundation Classes (IFC) for data sharing in the construction and facility management industries. The International Organization for Standardization
J. KENNEDY, R. C. EBERHART, Particle swarm optimization, in: IEEE International Conference on Neural Networks, Piscataway, New Jersey, 1995, pp. 1942-1948
G. KONTES, G. GIANNAKIS, E. KOSMATOPOULOS, D.V. ROVAS, Adaptive fine-tuning of building energy management systems using co-simulation, in Proceedings: 2012 IEEE International Conference on Control Applications, Dubrovnik, Croatia, 2012, pp. 1664-1669.
A. K. KORDON, Applied computational intelligence – how to create value, Springer, Berlin Heidelberg, 2007.
K. MACEK, K. MACÍK, A methodology for quantitative comparison of control solutions and its application to HVAC (heating, ventilation and air conditioning) systems, Energy, 44 (1) (2012) 117-125
K. MACEK, V. BICÍK, J. ROJÍCEK, Trajectory optimization under changing conditions through evolutionary approach and black-box models with refining, Advances in Intelligent Systems and Computing 217 (2013) 267-274
K. MACÍK, J. ROJÍCEK, P. STLUKA, J. VASS, Advanced HVAC Control: Theory vs. Reality, in: Preprints of the 18th IVAC World Congress, Milano, Italy, 2011, pp. 3108-3113
F. OLDEWURTEL, A. PARISIO, C. N. JONES, D. GYALISTRAS, M. GWERDER, V. STAUCH, B. LEHMANN, M. MORARI, Use of model predictive control and weather forecasts for energy efficient building climate control, Energy and Buildings, 45 (2012), 15-27
S.J. QIN, T.A. BADGWELL, A survey of industrial model predictive control technology Control Engineering Practice, 11 (2003) 733–764
C. RASMUSSEN, C. K. I. WILLIAMS, Gaussian processes for machine learning, The MIT Press, Cambridge, Massachusetts, 2006
R. ROJAS, Neural networks – a systematic introduction, Springer, Berlin, 1996
J. ROJÍCEK, R. FIŠERA, G.D. KONTES, G.I. GIANNAKIS, D.V. ROVAS, Functional and technological definition of BIM-aware services to Assess, Predict and Optimize energy performance of buildings. In Proceedings 2nd Central European Symposium on Building Physics, Vienna, Austria, September 9-11, 2013. (To Appear)
R. STORN, K. PRICE, Differential evolution – a simple and efficient heuristic for global optimization, Journal of Global Optimization, 11 (1997), 341-359
M. STRELEC, K. MACEK, A. ABATE, Modeling and simulation of a microgrid as a stochastic hybrid system, in: Proceedings of the IEEE PES Innovative Smart Grid Technologies, Berlin, Germany, 2012, pp. 1-9.
C. VALMACEDA, K. KATSIGARAKIS, M.A. GARCIA FUENTES, J. L. HERNANDEZ GARCIA, G.D. KONTES, D.V. ROVAS, An event-driven SOA-based platform for energy-efficiency applications in buildings, CIBW78 2013, Beijing, China (To appear).
L. WASSERMAN, All of nonparametric statistics, Springer, New York, 2006
S. WOLD, Principal component analysis, Chemometrics and Intelligent Laboratory Systems, 2 (1) (1997), 37-52
E. ZACEKOVA, L. FERKL, Building modeling and control using multi-step ahead error minimization, in: Proceedings of Mediterranean Conference Control & Automation, Barcelona, Spain, 2012, pp. 421-426.
Family, Statement and Institution: The Secular Clergy in the Kingdom of Cordova in the Mid-Eighteenth Century. The Case of Lucena. (2013). Studia Historica: Historia Moderna, 35, 343-369. https://doi.org/10.14201/shhmo201335343369
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