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Prof. Dr. Yolanda Villacampa
Department of Applied Mathematics, University of Alicante, Apartado 99, E-03080, Alicante, Spain

Basic Info


Research Keywords & Expertise

0 Methodologies and computational algorithms for system modelling
0 Algorithms for modelling by non-linear regression methods
0 Numerical modelling methodologies based on finite elements and artificial intelligence techniques
0 Modelling methodologies for obtaining non-linear models in the parameters
0 Finite element and spline representation models

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Modelling methodologies for obtaining non-linear models in the parameters
Finite element and spline representation models
Numerical methods of differential equations
Using of genetic algorithms in algebraic problems

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Journal article
Published: 21 March 2021 in Mathematics
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This paper presents a study on the optimization problem of a consumer’s choice constrained to a single time interval. In this problem, the choice is made over a set of perishable goods such that they do not retain value at the end of the period. Money has been introduced as the only means available to store that value for the future. Thus, consumer utility is measured on the possible combinations of goods consumed during the period and money held at the end of the period. Additionally, a set of simple conditions are assumed to the utility functions for goods and money given by: (1) Existence of a total utility that is additively separable with respect to the components of goods and money; (2) continuity of the derivatives of the utility functions of money and goods up to the second degree; and (3) non-uniqueness of the matrix obtained by differentiating the system of equations obtained by the condition of optimum. The article shows how the requirement of homogeneity conditions limits the possible expressions for the utility function of money. One of them is the frequently used logarithmic function.

ACS Style

Francisco Navarro-González; Yolanda Villacampa. A Foundation for Logarithmic Utility Function of Money. Mathematics 2021, 9, 665 .

AMA Style

Francisco Navarro-González, Yolanda Villacampa. A Foundation for Logarithmic Utility Function of Money. Mathematics. 2021; 9 (6):665.

Chicago/Turabian Style

Francisco Navarro-González; Yolanda Villacampa. 2021. "A Foundation for Logarithmic Utility Function of Money." Mathematics 9, no. 6: 665.

Journal article
Published: 01 March 2021 in Sustainability
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One of the main problems faced in coastal management is the loss or destruction of beaches due to erosion. A considerable diversity of factors is involved in coastal erosion, which makes it a complex system to study. The quality of the material that constitutes the beach, as well as the choice of appropriate materials for its nourishment are two of the main ones. Therefore, to make future nourishment projects more sustainable and durable, this work proposes a sediment quality classification based on the physical properties and wear process obtained through laboratory tests. The study of these variables, using principal component analysis, discriminant analysis and ANOVA, has divided the quality of 70 samples into three main groups. A Sediment Quality Classification Index (SQCI) is proposed, which categorizes the quality of the material into poor, regular or good, providing the coastal engineer with a simple tool to ensure more sustainable beach nourishments.

ACS Style

José Pagán; Antonio Tenza-Abril; Luis Aragonés; Yolanda Villacampa; Isabel López. Classification of Sediment Quality according to Its Behavior in the Accelerated Particle Wear Test (APW). Sustainability 2021, 13, 2633 .

AMA Style

José Pagán, Antonio Tenza-Abril, Luis Aragonés, Yolanda Villacampa, Isabel López. Classification of Sediment Quality according to Its Behavior in the Accelerated Particle Wear Test (APW). Sustainability. 2021; 13 (5):2633.

Chicago/Turabian Style

José Pagán; Antonio Tenza-Abril; Luis Aragonés; Yolanda Villacampa; Isabel López. 2021. "Classification of Sediment Quality according to Its Behavior in the Accelerated Particle Wear Test (APW)." Sustainability 13, no. 5: 2633.

Journal article
Published: 24 November 2020 in Sustainability
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The Pampas region is characterized by a high complexity in its productive system planning and faces the challenge of satisfying future food demands, as well as reducing the environmental impact of the activity. Climate change affects crops and farmers should use species capable of adapting to the changed climate. Among these species, faba bean (Vicia faba L.) cv. ‘Alameda’ has shown good adaptation to weather variability and, as a winter legume, it can help maintain the sustainability of agricultural systems in the area. The main purpose of this research was to select the models which describe the production characteristics of the ‘Alameda’ bean by using the least number of variables. Experimental and agrometeorological data from the cultivation of the ‘Alameda’ in Azul, Buenos Aires province, Argentina were used to generate mathematical models. Several modelling methodologies have been applied to study the production characteristics of the faba bean. The prediction of the models generated was analyzed by randomly disturbing the experimental data and analyzing the magnitude of the errors produced. The models obtained will be useful for predicting the biomass production of the faba bean cv. ‘Alameda’ grown in the agroclimatic conditions of Azul, Buenos Aires province, Argentina.

ACS Style

Yolanda Villacampa; Francisco Navarro-González; Gabriela Hernández; Juan Laddaga; Adriana Confalone. Modelling Faba Bean (Vicia faba L.) Biomass Production for Sustainability of Agricultural Systems of Pampas. Sustainability 2020, 12, 9829 .

AMA Style

Yolanda Villacampa, Francisco Navarro-González, Gabriela Hernández, Juan Laddaga, Adriana Confalone. Modelling Faba Bean (Vicia faba L.) Biomass Production for Sustainability of Agricultural Systems of Pampas. Sustainability. 2020; 12 (23):9829.

Chicago/Turabian Style

Yolanda Villacampa; Francisco Navarro-González; Gabriela Hernández; Juan Laddaga; Adriana Confalone. 2020. "Modelling Faba Bean (Vicia faba L.) Biomass Production for Sustainability of Agricultural Systems of Pampas." Sustainability 12, no. 23: 9829.

Journal article
Published: 17 November 2020 in Process Safety and Environmental Protection
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Solar energy is one of the most promising green energy sources. On-grid photovoltaic installations supply energy to consumers as a support energy source, but in isolated areas, it comes as the unique source. The decision-maker must dimension the installation, maintaining system performance with reasonable investments. In some scenarios, the utility manager can handle the energy delivered to consumers as every subsystem can be independently connected. A strategy for scheduling the energy consumption to decrease the number of photovoltaic modules required in a standalone system is proposed here. The problem formulation corresponds to generalising a more specific problem before published. We presented a real case study being the groups of hydrants that provide water to crops in a pressurized irrigation system for energy consumption to schedule.

ACS Style

Francisco J. Navarro-Gonzalez; Yolanda Villacampa; Miguel Ángel Pardo Picazo; M. Cortés-Molina. Optimal load scheduling for off-grid photovoltaic installations with fixed energy requirements and intrinsic constraints. Process Safety and Environmental Protection 2020, 149, 476 -484.

AMA Style

Francisco J. Navarro-Gonzalez, Yolanda Villacampa, Miguel Ángel Pardo Picazo, M. Cortés-Molina. Optimal load scheduling for off-grid photovoltaic installations with fixed energy requirements and intrinsic constraints. Process Safety and Environmental Protection. 2020; 149 ():476-484.

Chicago/Turabian Style

Francisco J. Navarro-Gonzalez; Yolanda Villacampa; Miguel Ángel Pardo Picazo; M. Cortés-Molina. 2020. "Optimal load scheduling for off-grid photovoltaic installations with fixed energy requirements and intrinsic constraints." Process Safety and Environmental Protection 149, no. : 476-484.

Journal article
Published: 17 September 2020 in Mathematics
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Estimation problems are frequent in several fields such as engineering, economics, and physics, etc. Linear and non-linear regression are powerful techniques based on optimizing an error defined over a dataset. Although they have a strong theoretical background, the need of supposing an analytical expression sometimes makes them impractical. Consequently, a group of other approaches and methodologies are available, from neural networks to random forest, etc. This work presents a new methodology to increase the number of available numerical techniques and corresponds to a natural evolution of the previous algorithms for regression based on finite elements developed by the authors improving the computational behavior and allowing the study of problems with a greater number of points. It possesses an interesting characteristic: Its direct and clear geometrical meaning. The modelling problem is presented from the point of view of the statistical analysis of the data noise considered as a random field. The goodness of fit of the generated models has been tested and compared with some other methodologies validating the results with some experimental campaigns obtained from bibliography in the engineering field, showing good approximation. In addition, a small variation on the data estimation algorithm allows studying overfitting in a model, that it is a problematic fact when numerical methods are used to model experimental values.

ACS Style

Francisco José Navarro-González; Yolanda Villacampa; Mónica Cortés-Molina; Salvador Ivorra. Numerical Non-Linear Modelling Algorithm Using Radial Kernels on Local Mesh Support. Mathematics 2020, 8, 1600 .

AMA Style

Francisco José Navarro-González, Yolanda Villacampa, Mónica Cortés-Molina, Salvador Ivorra. Numerical Non-Linear Modelling Algorithm Using Radial Kernels on Local Mesh Support. Mathematics. 2020; 8 (9):1600.

Chicago/Turabian Style

Francisco José Navarro-González; Yolanda Villacampa; Mónica Cortés-Molina; Salvador Ivorra. 2020. "Numerical Non-Linear Modelling Algorithm Using Radial Kernels on Local Mesh Support." Mathematics 8, no. 9: 1600.

Journal article
Published: 19 November 2019 in Applied Sciences
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System modeling is a main task in several research fields. The development of numerical models is of crucial importance at the present because of its wide use in the applications of the generically named machine learning technology, including different kinds of neural networks, random field models, and kernel-based methodologies. However, some problems involving the reliability of their predictions are common to their use in the real world. Octahedric regression is a kernel averaged methodology developed by the authors that tries to simplify the entire process from raw data acquisition to model generation. A discussion about the treatment and prevention of overfitting is presented and, as a result, models are obtained that allow for the measurement of this effect. In this paper, this methodology is applied to the problem of estimating the energetic needs of different buildings according to their principal characteristics, a problem that has importance in architecture and civil and environmental engineering due to increasing concerns about energetic efficiency and ecological footprint.

ACS Style

Francisco J. Navarro-Gonzalez; Yolanda Villacampa. An Octahedric Regression Model of Energy Efficiency on Residential Buildings. Applied Sciences 2019, 9, 4978 .

AMA Style

Francisco J. Navarro-Gonzalez, Yolanda Villacampa. An Octahedric Regression Model of Energy Efficiency on Residential Buildings. Applied Sciences. 2019; 9 (22):4978.

Chicago/Turabian Style

Francisco J. Navarro-Gonzalez; Yolanda Villacampa. 2019. "An Octahedric Regression Model of Energy Efficiency on Residential Buildings." Applied Sciences 9, no. 22: 4978.

Journal article
Published: 14 November 2018 in Applied Soft Computing
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The eigenvalues and eigenvectors of a matrix have many applications in engineering and science, such us studying and solving structural problems in both the treatment of signal or image processing, and the study of quantum mechanics. One of the most important aspects of an algorithm is the speed of execution, especially when it is used in large arrays. For this reason, in this paper the authors propose a new methodology using a genetic algorithm to compute all the eigenvectors and eigenvalues in real symmetric and Hermitian matrices. The algorithm uses a general-purpose library developed by the authors for genetic algorithms (GALGA). The speed of execution and the influence of population size have been studied. Moreover, the algorithm has been tested in different matrices and population sizes by comparing the speed of execution to the number of the eigenvectors. This new methodology is faster than the previous algorithm developed by the authors and all eigenvectors can be obtained with it. In addition, the performance using the Coope matrix has been tested contrasting the results with another technique published in the scientific literature.

ACS Style

Y. Villacampa; F.J. Navarro-González; P. Compañ-Rosique; R. Satorre-Cuerda. A guided genetic algorithm for diagonalization of symmetric and Hermitian matrices. Applied Soft Computing 2018, 75, 180 -189.

AMA Style

Y. Villacampa, F.J. Navarro-González, P. Compañ-Rosique, R. Satorre-Cuerda. A guided genetic algorithm for diagonalization of symmetric and Hermitian matrices. Applied Soft Computing. 2018; 75 ():180-189.

Chicago/Turabian Style

Y. Villacampa; F.J. Navarro-González; P. Compañ-Rosique; R. Satorre-Cuerda. 2018. "A guided genetic algorithm for diagonalization of symmetric and Hermitian matrices." Applied Soft Computing 75, no. : 180-189.

Journal article
Published: 01 September 2017 in Journal of Coastal Research
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Aragonés, L.; López, I.; Villacampa, Y., and Navarro-González, F.J., 2017. Using the presence of seagrass Posidonia oceanica to model the equilibrium profile parameter A of sandy beaches in Spain. The study of equilibrium profile is a fundamental concept in beach morphodynamics and necessary in the design of nourishment. For this reason, it is important to introduce new modelling methodologies that are capable of analysing its behaviour. The aim of the research was to generate mathematical models for obtaining parameter A of the potential function, which describes the equilibrium beach profile on the coast of Valencia and Alicante, using only those variables that are easy to obtain. The presence of Posidonia oceanica in the study area was also taken into account, and on the basis of that, the energy reduction coefficient (Kv) was included as an independent variable in the models. To select the optimal model, the volume error, root mean-square error, mean error, and relative error percentage have been used. Finally, the sensitivity of the models against small perturbations in the independent variables was studied and the models were validated with experimental data obtained from a set of beaches with similar characteristics located outside the study area.

ACS Style

Luís Aragonés; Isabel López; Yolanda Villacampa; Francisco J. Navarro-González. Using the Presence of Seagrass Posidonia oceanica to Model the Equilibrium Profile Parameter A of Sandy Beaches in Spain. Journal of Coastal Research 2017, 335, 1074 -1085.

AMA Style

Luís Aragonés, Isabel López, Yolanda Villacampa, Francisco J. Navarro-González. Using the Presence of Seagrass Posidonia oceanica to Model the Equilibrium Profile Parameter A of Sandy Beaches in Spain. Journal of Coastal Research. 2017; 335 ():1074-1085.

Chicago/Turabian Style

Luís Aragonés; Isabel López; Yolanda Villacampa; Francisco J. Navarro-González. 2017. "Using the Presence of Seagrass Posidonia oceanica to Model the Equilibrium Profile Parameter A of Sandy Beaches in Spain." Journal of Coastal Research 335, no. : 1074-1085.

Journal article
Published: 01 April 2016 in Applied Mathematical Modelling
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The eigenvalues and eigenvectors of a matrix have many applications in engineering and science. For example they are important in studying and solving structural problems, in the treatment of signal or image processing, in the study of quantum mechanics and in certain physical problems. It is therefore essential to analyze methodologies to obtain the eigenvectors and eigenvalues ​​of symmetric and Hermitian matrices. In this paper the authors present a methodology for obtaining the eigenvectors and eigenvalues of a symmetric or Hermitian matrix using a genetic algorithm. Unlike other methodologies, the process is centred in searching the eigenvectors and calculating the eigenvalues afterwards. In the search of the eigenvectors a genetic-based algorithm is used. Genetic algorithms are indicated when the search space is extended, unknown or with an intricate geometry. Also, the target vector space can be either real or complex, allowing in this way a wider field of application for the proposed method. The algorithm is tested comparing the results with those obtained by other methods or with the values previously known. So, seven applications are included: a real symmetric matrix corresponding to a vibrating system, a complex Hermitian matrix and an important application of the diagonalization problem (Coope matrix) corresponding to quantum mechanics examples, a physical problem in which data are analysed to reduce the number of variables, a comparison with the power method and the studies of a degenerate and an ill-conditioned matrix.

ACS Style

F.J. Navarro-González; P. Compañ; R. Satorre; Y. Villacampa. Numerical determination for solving the symmetric eigenvector problem using genetic algorithm. Applied Mathematical Modelling 2016, 40, 4935 -4947.

AMA Style

F.J. Navarro-González, P. Compañ, R. Satorre, Y. Villacampa. Numerical determination for solving the symmetric eigenvector problem using genetic algorithm. Applied Mathematical Modelling. 2016; 40 (7-8):4935-4947.

Chicago/Turabian Style

F.J. Navarro-González; P. Compañ; R. Satorre; Y. Villacampa. 2016. "Numerical determination for solving the symmetric eigenvector problem using genetic algorithm." Applied Mathematical Modelling 40, no. 7-8: 4935-4947.

Journal article
Published: 14 July 2015 in Journal of Coastal Research
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ACS Style

Luis Aragonés; I. López; Y. Villacampa; J.C. Serra; J.M. Saval. New Methodology for the Classification of Gravel Beaches: Adjusted on Alicante (Spain). Journal of Coastal Research 2015, 314, 1023 -1034.

AMA Style

Luis Aragonés, I. López, Y. Villacampa, J.C. Serra, J.M. Saval. New Methodology for the Classification of Gravel Beaches: Adjusted on Alicante (Spain). Journal of Coastal Research. 2015; 314 ():1023-1034.

Chicago/Turabian Style

Luis Aragonés; I. López; Y. Villacampa; J.C. Serra; J.M. Saval. 2015. "New Methodology for the Classification of Gravel Beaches: Adjusted on Alicante (Spain)." Journal of Coastal Research 314, no. : 1023-1034.

Journal article
Published: 01 July 2014 in International Journal of Project Management
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The literature states that project duration is affected by various scope factors. Using 168 building projects carried out in Spain, this paper uses the multiple regression analysis to develop a forecast model that allows estimating project duration of new builds. The proposed model uses project type, gross floor area (GFA), the cost/GFA relationship and number of floors as predictor variables. The research identified the logarithmic form of construction speed as the most appropriate response variable. GFA has greater influence than cost on project duration but both factors are necessary to achieve a forecast model with the highest accuracy. We developed an analysis to verify the stability of forecasted values and showed how a model with high values of fit and accuracy may display an anomalous behavior in the forecasted values. The sensitivity of the proposed forecast model was also analyzed versus the variability of construction costs.The study presented in this paper was mainly funded by a research grant awarded by the Office of the Vice President for Research, Development and Innovation of the University of Alicante (resolution 22 December 2011). It has also been partially funded by the Spanish Government through the project TEXTMESS 2.0 (TIN2009-13391-C04) and by the Valencian Government through the project PROMETEO (PROMETEO/2009/199)

ACS Style

Miguel A. Guerrero; Yolanda Villacampa; Andres Montoyo. Modeling construction time in Spanish building projects. International Journal of Project Management 2014, 32, 861 -873.

AMA Style

Miguel A. Guerrero, Yolanda Villacampa, Andres Montoyo. Modeling construction time in Spanish building projects. International Journal of Project Management. 2014; 32 (5):861-873.

Chicago/Turabian Style

Miguel A. Guerrero; Yolanda Villacampa; Andres Montoyo. 2014. "Modeling construction time in Spanish building projects." International Journal of Project Management 32, no. 5: 861-873.

Journal article
Published: 01 October 2013 in Advances in Engineering Software
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In this article, a new methodology is presented to obtain representation models for a priori relation z = u(x1, x2, . . . ,xn) (1), with a known an experimental dataset zi; x1i ; x2i ; x3i ; . . . ; xni i=1;2;...;p· In this methodology, a potential energy is initially defined over each possible model for the relationship (1), what allows the application of the Lagrangian mechanics to the derived system. The solution of the Euler–Lagrange in this system allows obtaining the optimal solution according to the minimal action principle. The defined Lagrangian, corresponds to a continuous medium, where a n-dimensional finite elements model has been applied, so it is possible to get a solution for the problem solving a compatible and determined linear symmetric equation system. The computational implementation of the methodology has resulted in an improvement in the process of get representation models obtained and published previously by the authors

ACS Style

F.J. Navarro-González; Y. Villacampa. Generation of representation models for complex systems using Lagrangian functions. Advances in Engineering Software 2013, 64, 33 -37.

AMA Style

F.J. Navarro-González, Y. Villacampa. Generation of representation models for complex systems using Lagrangian functions. Advances in Engineering Software. 2013; 64 ():33-37.

Chicago/Turabian Style

F.J. Navarro-González; Y. Villacampa. 2013. "Generation of representation models for complex systems using Lagrangian functions." Advances in Engineering Software 64, no. : 33-37.

Proceedings article
Published: 08 July 2013 in Earthquake Resistant Engineering Structures IX
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ACS Style

J. A. Reyes; M. Cortés-Molina; F. Garcia-Alonso; A. Reyes; Yolanda Villacampa. An application of the Φ-functions series method to the integration of seismic modelling. Earthquake Resistant Engineering Structures IX 2013, 132, 245 -256.

AMA Style

J. A. Reyes, M. Cortés-Molina, F. Garcia-Alonso, A. Reyes, Yolanda Villacampa. An application of the Φ-functions series method to the integration of seismic modelling. Earthquake Resistant Engineering Structures IX. 2013; 132 ():245-256.

Chicago/Turabian Style

J. A. Reyes; M. Cortés-Molina; F. Garcia-Alonso; A. Reyes; Yolanda Villacampa. 2013. "An application of the Φ-functions series method to the integration of seismic modelling." Earthquake Resistant Engineering Structures IX 132, no. : 245-256.

Conference paper
Published: 18 June 2013 in Ecosystems and Sustainable Development IX
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In the Flooding Pampas, Argentina, as agricultural expansion spread into areas historically used for livestock grazing, it came to occupy the best...

ACS Style

M. Barufaldi; Yolanda Villacampa; F. Garcia-Alonso; P. Sastre-Vázquez. Improvement of an induced autotetraploid population ofLotus tenuisfor their use in the Flooding Pampas. Ecosystems and Sustainable Development IX 2013, 1 .

AMA Style

M. Barufaldi, Yolanda Villacampa, F. Garcia-Alonso, P. Sastre-Vázquez. Improvement of an induced autotetraploid population ofLotus tenuisfor their use in the Flooding Pampas. Ecosystems and Sustainable Development IX. 2013; ():1.

Chicago/Turabian Style

M. Barufaldi; Yolanda Villacampa; F. Garcia-Alonso; P. Sastre-Vázquez. 2013. "Improvement of an induced autotetraploid population ofLotus tenuisfor their use in the Flooding Pampas." Ecosystems and Sustainable Development IX , no. : 1.

Proceedings article
Published: 18 June 2013 in Ecosystems and Sustainable Development IX
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ACS Style

Yolanda Villacampa; J. F. Navarro-Gonzalez; J. A. Reyes; P. Sastre-Vázquez. Numerical and regression models for the leaf area of tomato seedlings. Ecosystems and Sustainable Development IX 2013, 175, 3 -10.

AMA Style

Yolanda Villacampa, J. F. Navarro-Gonzalez, J. A. Reyes, P. Sastre-Vázquez. Numerical and regression models for the leaf area of tomato seedlings. Ecosystems and Sustainable Development IX. 2013; 175 ():3-10.

Chicago/Turabian Style

Yolanda Villacampa; J. F. Navarro-Gonzalez; J. A. Reyes; P. Sastre-Vázquez. 2013. "Numerical and regression models for the leaf area of tomato seedlings." Ecosystems and Sustainable Development IX 175, no. : 3-10.

Proceedings article
Published: 18 June 2013 in Ecosystems and Sustainable Development IX
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ACS Style

M. C. Miranda Del Fresno; Yolanda Villacampa; F. J. Navarro-González; P. Sastre-Vázquez. Statistical analysis of soy cultivation in Argentina. Ecosystems and Sustainable Development IX 2013, 1, 11 -19.

AMA Style

M. C. Miranda Del Fresno, Yolanda Villacampa, F. J. Navarro-González, P. Sastre-Vázquez. Statistical analysis of soy cultivation in Argentina. Ecosystems and Sustainable Development IX. 2013; 1 ():11-19.

Chicago/Turabian Style

M. C. Miranda Del Fresno; Yolanda Villacampa; F. J. Navarro-González; P. Sastre-Vázquez. 2013. "Statistical analysis of soy cultivation in Argentina." Ecosystems and Sustainable Development IX 1, no. : 11-19.

Proceedings article
Published: 18 June 2013 in Ecosystems and Sustainable Development IX
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ACS Style

Yolanda Villacampa; F. G. Navarro-González; P. Cerdan; M. Cortes. A geometric model defined by a family of Splines for modelling complex systems. Ecosystems and Sustainable Development IX 2013, 1, 31 -41.

AMA Style

Yolanda Villacampa, F. G. Navarro-González, P. Cerdan, M. Cortes. A geometric model defined by a family of Splines for modelling complex systems. Ecosystems and Sustainable Development IX. 2013; 1 ():31-41.

Chicago/Turabian Style

Yolanda Villacampa; F. G. Navarro-González; P. Cerdan; M. Cortes. 2013. "A geometric model defined by a family of Splines for modelling complex systems." Ecosystems and Sustainable Development IX 1, no. : 31-41.

Journal article
Published: 30 June 2012 in Advances in Engineering Software
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In this article a new methodology is developed, for the modelling of complex systems where the number of variables and relationships can be high. This methodology allows an efficient work on a n-dimensional hypercube and its computational implementation, a fact that was not possible through a generalisation of the 2-dimensional methodology developed in [10]. The methodology allows obtaining representation models of a function or relationship, z = u(x1, x2, …… , xn) obtained from the interpolation defined in an n-dimensional finite element model. The interpolation function implies the use of some initial conditions, what in the defined methodology implies the coincidence between the values of the function in a finite number of points zi,xi1,xi2,xi3,……,xini=1,.2,…,p. As usually when a finite element model of representation is used, the function is obtained in a finite set of points, called nodes [22]. In this case, this is done by solving an optimisation problem based on the search of the minimum of an error function defined generically in any finite element model defined in the hypercube. The computational implementation of the methodology allows obtaining families of mathematical models that represent the relationships. From each obtained model several information parameters are also considered, as roughness and stability.

ACS Style

F.J. Navarro-González; Y. Villacampa. A new methodology for complex systems using n-dimensional finite elements. Advances in Engineering Software 2012, 48, 52 -57.

AMA Style

F.J. Navarro-González, Y. Villacampa. A new methodology for complex systems using n-dimensional finite elements. Advances in Engineering Software. 2012; 48 ():52-57.

Chicago/Turabian Style

F.J. Navarro-González; Y. Villacampa. 2012. "A new methodology for complex systems using n-dimensional finite elements." Advances in Engineering Software 48, no. : 52-57.

Proceedings article
Published: 07 May 2012 in The Sustainable City VII
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ACS Style

A. Villacampa; Yolanda Villacampa. Re-use of the industrial heritage of Bovisa: a model for urban and cultural regeneration. The Sustainable City VII 2012, 155, 869 -880.

AMA Style

A. Villacampa, Yolanda Villacampa. Re-use of the industrial heritage of Bovisa: a model for urban and cultural regeneration. The Sustainable City VII. 2012; 155 ():869-880.

Chicago/Turabian Style

A. Villacampa; Yolanda Villacampa. 2012. "Re-use of the industrial heritage of Bovisa: a model for urban and cultural regeneration." The Sustainable City VII 155, no. : 869-880.

Journal article
Published: 31 March 2012 in Advances in Engineering Software
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ACS Style

F. Garcia-Alonso; J.A. Reyes; Yolanda Villacampa. A new approach for multistep numerical methods in several frequencies for perturbed oscillators. Advances in Engineering Software 2012, 45, 252 -260.

AMA Style

F. Garcia-Alonso, J.A. Reyes, Yolanda Villacampa. A new approach for multistep numerical methods in several frequencies for perturbed oscillators. Advances in Engineering Software. 2012; 45 (1):252-260.

Chicago/Turabian Style

F. Garcia-Alonso; J.A. Reyes; Yolanda Villacampa. 2012. "A new approach for multistep numerical methods in several frequencies for perturbed oscillators." Advances in Engineering Software 45, no. 1: 252-260.