Relevant bibliographies by topics / Searching behavior – Mathematical models

Academic literature on the topic 'Searching behavior – Mathematical models'

Author: Grafiati
Published: 10 December 2022
Last updated: 28 January 2023

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Journal articles on the topic "Searching behavior – Mathematical models"

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Altowayti, Wahid Ali Hamood, Norzila Othman, Husnul Azan Tajarudin, Arafat Al-Dhaqm, Syazwani Mohd Asharuddin, Adel Al-Gheethi, Abdullah Faisal Alshalif, et al. "Evaluating the Pressure and Loss Behavior in Water Pipes Using Smart Mathematical Modelling." Water 13, no. 24 (December 8, 2021): 3500. http://dx.doi.org/10.3390/w13243500.

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Due to the constant need to enhance water supply sources, water operators are searching for solutions to maintain water quality through leakage protection. The capability to monitor the day-to-day water supply management is one of the most significant operational challenges for water companies. These companies are looking for ways to predict how to improve their supply operations in order to remain competitive, given the rising demand. This work focuses on the mathematical modeling of water flow and losses through leak openings in the smart pipe system. The research introduces smart mathematical models that water companies may use to predict water flow, losses, and performance, thereby allowing issues and challenges to be effectively managed. So far, most of the modeling work in water operations has been based on empirical data rather than mathematically described process relationships, which is addressed in this study. Moreover, partial submersion had a power relationship, but a total immersion was more likely to have a linear power relationship. It was discovered in the experiment that the laminar flows had Reynolds numbers smaller than 2000. However, when testing with transitional flows, Reynolds numbers were in the range of 2000 to 4000. Furthermore, tests with turbulent flow revealed that the Reynolds number was more than 4000. Consequently, the main loss in a 30 mm diameter pipe was 0.25 m, whereas it was 0.01 m in a 20 mm diameter pipe. However, the fitting pipe had a minor loss of 0.005 m, whereas the bending pipe had a loss of 0.015 m. Consequently, mathematical models are required to describe, forecast, and regulate the complex relationships between water flow and losses, which is a concept that water supply companies are familiar with. Therefore, these models can assist in designing and operating water processes, allowing for improved day-to-day performance management.
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Luo, Shuren. "An Empirical Study on the Impact Mechanism of Big Data-based Precision Push Models on Consumers’ Online Buying Behavior in Southwest District of China." Learning & Education 10, no. 3 (November 7, 2021): 251. http://dx.doi.org/10.18282/l-e.v10i3.2476.

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In the era of big data, consumers, as the main body of the economy, had been affected to a large extent by purchasing behavior. This impact would have mainly been reflected in the changes in consumer behavior, coupled with the development of the e-commerce industry in society. Consumers did change from traditional physical store purchases to online purchases as consumers’ online purchases increased. However, in the face of many commodities, it would be difficult for users to find items of interest. The precision push model came into being the user’s mathematical modeling based on the user’s behavior characteristics for searching the user’s possible feelings in items of interest to users. However, whether the matching of the precise push mode and the user interacted effectively, promoting and stimulating the consumption behavior of consumers would still face the problem of accuracy and efficiency.
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Ilyina, Elena A., and Leonid A. Saraev. "On the theory of optimization of transaction costs of multifactor manufacturing enterprises." Vestnik of Samara University. Economics and Management 12, no. 4 (December 30, 2021): 182–94. http://dx.doi.org/10.18287/2542-0461-2021-12-4-182-194.

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The published article proposes mathematical models for calculating the optimal profit of multifactorial manufacturing enterprises that incur both production (transformational) and certain non-production (transactional) costs, the sources of which may be forced costs of searching for economic information, measuring the parameters of various goods, negotiating and the conclusion of contracts, for the development of specifications and the protection of property rights, for the opportunistic behavior of employees and managers of the enterprise, etc. Anumerical analysis of the presented models for calculating the optimal profit of multifactor enterprises that bear transaction costs shows the unattainability of the maximum possible profit values, since in practice the enterprise management maximizes not the profit itself, but its utility, expressed in the form of the corresponding transaction function.
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Chai Lian, Oh, Choong Kok Keong, Toku Nishimura, and Kim Jae-Yeol. "Form-Finding of Spine Inspired Biotensegrity Model." Applied Sciences 10, no. 18 (September 11, 2020): 6344. http://dx.doi.org/10.3390/app10186344.

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This paper presents a study on form-finding of four-stage class one self-equilibrated spine biotensegrity models. Advantageous features such as slenderness and natural curvature of the human spine, as well as the stabilizing network that consists of the spinal column and muscles, were modeled and incorporated in the mathematical formulation of the spine biotensegrity models. Form-finding analysis, which involved determination of independent self-equilibrium stress modes using generalized inverse and their linear combination, was carried out. Form-finding strategy for searching the self-equilibrated models was studied through two approaches: application of various combinations of (1) twist angles and (2) nodal coordinates. A total of three configurations of the spine biotensegrity models with different sizes of triangular cell were successfully established for the first time in this study. All members in the spine biotensegrity models satisfied the assumption of linear elastic material behavior. With the established spine biotensegrity model, the advantageous characteristics of flexibility and versatility of movement can be further studied for potential application in deployable structures and flexible arm in the robotic industry.
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Hills, Daniel J. A., Adrian M. Grütter, and Jonathan J. Hudson. "An algorithm for discovering Lagrangians automatically from data." PeerJ Computer Science 1 (November 4, 2015): e31. http://dx.doi.org/10.7717/peerj-cs.31.

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An activity fundamental to science is building mathematical models. These models are used to both predict the results of future experiments and gain insight into the structure of the system under study. We present an algorithm that automates the model building process in a scientifically principled way. The algorithm can take observed trajectories from a wide variety of mechanical systems and, without any other prior knowledge or tuning of parameters, predict the future evolution of the system. It does this by applying the principle of least action and searching for the simplest Lagrangian that describes the system’s behaviour. By generating this Lagrangian in a human interpretable form, it can also provide insight into the workings of the system.
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Andrey Mastislavovich, Korneev, Buzina Olga Petrovna, Sukhanov Andrey Vladimirovich, and Shipulin Ilya Andreevich. "Experience in Using Stochastic Optimization Methods for Determining Numerical Parameters of Models in Materials Structurization Management Systems." International Journal of Engineering & Technology 7, no. 3.5 (July 7, 2018): 32. http://dx.doi.org/10.14419/ijet.v7i3.5.15196.

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The task of intellectual support of the process of composition formation for materials with a composite structure occurs when designing and operating automated control systems for multi-stage production processes. Such automated systems function in direct interaction with the external environment, and should promptly return the results of processing to the environment in the form of corrective actions or as messages to the user. The need for correct and complete mathematical models and fast, accurate algorithms that solve multistage problems often arises when structuring composite materials. In this case, mathematical models contain sets of numerical parameters and the search for exact values for them presents a complex optimization problem. The purpose of this paper is to investigate the possibility of using stochastic optimization methods to determine the exact numerical values of the calculated parameters of mathematical models that mimic the behavior of a structured composite material with given physico-mechanical characteristics under operating conditions. To carry out the research, special software has been created that implements algorithms for searching for extreme values for functions of several variables. The functional purpose of the software is intellectual support for decision-making in the formation of chemical compositions of cast iron alloys. Another developed system is designed to make effective decisions when designing the composition and structure of composite materials containing discrete fibers. Optimization of the calculated parameters was performed on a definite and fixed search area, which is a hyperparallelepiped. The program implements ten modifications of the simulation algorithm for annealing, allowing for a finite number of steps to make an estimate of the optimal value of the input elements of the function under study on a multidimensional space. In particular, modification of A, B and B algorithm schemes using the Boltzmann and Cauchy distribution functions, as well as the superfast annealing algorithm and the Xin Yao algorithm are implemented. The obtained data allowed to draw conclusions about the advantages and disadvantages of each modification of the stochastic search algorithm..
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Carreira, Pedro, Nuno Alves, Carina Ramos, and Paulo J. Bártolo. "Bio Inspired Algorithms for Injection Moulding Optimization." Advanced Materials Research 683 (April 2013): 771–74. http://dx.doi.org/10.4028/www.scientific.net/amr.683.771.

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Social behaviors of living organisms found in nature, like food searching, environment fitness and survival are inspiration for meta-heuristic mathematical models. Replicating these natural organism behaviors, several optimization algorithms have been developed and applied to technological processes. In this work, some nature inspired algorithms are applied to the injection problem in order to optimize the injection runners’ geometry, so that the overall cycle time is minimized. A key issue is the injection moulding process, as it strongly determines the cost per part. A global optimization strategy was implemented for the injection moulding cycle time, covering the main steps of process, filling time, cooling time, packing time and opening time. To achieve the optimum solution for each design variable and obtain the best time solution overall, it will enable to evaluate optimality, robustness, convergence, and variables dispersion for each used algorithm.
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Mokshin, Anatolii V., Vladimir V. Mokshin, and Diana A. Mirziyarova. "Formation of Regression Model for Analysis of Complex Systems Using Methodology of Genetic Algorithms." Nonlinear Phenomena in Complex Systems 23, no. 3 (October 28, 2020): 317–26. http://dx.doi.org/10.33581/1561-4085-2020-23-3-317-326.

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This study presents the approach to analyze evolution of an arbitrary complex system whose behavior is characterized by a set of different time-dependent factors. The key requirement for these factors is that they must contain an information about the system only; it does not matter at all what the nature (physical, biological, social, economic, etc.) of a complex system is. Within the framework of the presented theoretical approach, the problem of searching for non-linear regression models that express the relationship between these factors for a complex system under study is solved. It will be shown that this problem can be solved using the methodology of genetic (evolutionary) algorithms. The resulting regression models make it possible to predict the most probable evolution of the considered system, as well as to determine the significance of some factors and, thereby, to formulate some recommendations to drive by this system. It will be shown that the presented theoretical approach can be used to analyze data (information) characterizing the educational process in the discipline"Physic" in the secondary school, and to develop the strategies for improving academic performance in this discipline.
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Campeau, Winston, Andrew M. Simons, and Brett Stevens. "The evolutionary maintenance of Lévy flight foraging." PLOS Computational Biology 18, no. 1 (January 18, 2022): e1009490. http://dx.doi.org/10.1371/journal.pcbi.1009490.

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Lévy flight is a type of random walk that characterizes the behaviour of many natural phenomena studied across a multiplicity of academic disciplines; within biology specifically, the behaviour of fish, birds, insects, mollusks, bacteria, plants, slime molds, t-cells, and human populations. The Lévy flight foraging hypothesis states that because Lévy flights can maximize an organism’s search efficiency, natural selection should result in Lévy-like behaviour. Empirical and theoretical research has provided ample evidence of Lévy walks in both extinct and extant species, and its efficiency across models with a diversity of resource distributions. However, no model has addressed the maintenance of Lévy flight foraging through evolutionary processes, and existing models lack ecological breadth. We use numerical simulations, including lineage-based models of evolution with a distribution of move lengths as a variable and heritable trait, to test the Lévy flight foraging hypothesis. We include biological and ecological contexts such as population size, searching costs, lifespan, resource distribution, speed, and consider both energy accumulated at the end of a lifespan and averaged over a lifespan. We demonstrate that selection often results in Lévy-like behaviour, although conditional; smaller populations, longer searches, and low searching costs increase the fitness of Lévy-like behaviour relative to Brownian behaviour. Interestingly, our results also evidence a bet-hedging strategy; Lévy-like behaviour reduces fitness variance, thus maximizing geometric mean fitness over multiple generations.
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Le Chau, Ngoc, Ngoc Thoai Tran, and Thanh-Phong Dao. "Behavior Analysis of a Flexure Hinge Array." Mathematical Problems in Engineering 2021 (April 13, 2021): 1–11. http://dx.doi.org/10.1155/2021/9947090.

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Compliant mechanisms have been well designed to reach an ultra-high accuracy in positioning systems. However, the displacement of compliant mechanisms is still a major problem that restricts practical applications. Hence, a new flexure hinge array (FHA) is proposed to improve its displacement in this article. This paper is aimed to design and optimize the FHA. The structure of FHA is constructed by series-parallel array. Analytical calculations of the FHA are derived so as to analyze the stiffness and deformation. The displacement of the FHA is optimized by moth-flame optimization algorithm. The results determined that optimal parameters are found at Lt1 of 20.58 mm, w t 1 of 1.92 mm, and w t 2 of 2.29 mm. Besides, the optimal displacement is about 27.02 mm. Through Kruskal–Wallis test, the results verified that the proposed MFO outperforms other optimization algorithms in terms of searching the largest displacement. Validations of the analytical models are verified through simulations and experiments. The theoretical results are close to the experimental results. Additionally, the displacement of the FHA is superior that of existing joints. The displacement in the z-direction is approximately 32 mm according to a displacement of 12 mm in the x-direction.
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Dissertations / Theses on the topic "Searching behavior – Mathematical models"

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Oleś, Katarzyna A. "Searching for the optimal control strategy of epidemics spreading on different types of networks." Thesis, University of Stirling, 2014. http://hdl.handle.net/1893/21199.

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The main goal of my studies has been to search for the optimal control strategy of controlling epidemics when taking into account both economical and social costs of the disease. Three control scenarios emerge with treating the whole population (global strategy, GS), treating a small number of individuals in a well-defined neighbourhood of a detected case (local strategy, LS) and allowing the disease to spread unchecked (null strategy, NS). The choice of the optimal strategy is governed mainly by a relative cost of palliative and preventive treatments. Although the properties of the pathogen might not be known in advance for emerging diseases, the prediction of the optimal strategy can be made based on economic analysis only. The details of the local strategy and in particular the size of the optimal treatment neighbourhood weakly depends on disease infectivity but strongly depends on other epidemiological factors (rate of occurring the symptoms, spontaneously recovery). The required extent of prevention is proportional to the size of the infection neighbourhood, but this relationship depends on time till detection and time till treatment in a non-nonlinear (power) law. The spontaneous recovery also affects the choice of the control strategy. I have extended my results to two contrasting and yet complementary models, in which individuals that have been through the disease can either be treated or not. Whether the removed individuals (i.e., those who have been through the disease but then spontaneously recover or die) are part of the treatment plan depends on the type of the disease agent. The key factor in choosing the right model is whether it is possible - and desirable - to distinguish such individuals from those who are susceptible. If the removed class is identified with dead individuals, the distinction is very clear. However, if the removal means recovery and immunity, it might not be possible to identify those who are immune. The models are similar in their epidemiological part, but differ in how the removed/recovered individuals are treated. The differences in models affect choice of the strategy only for very cheap treatment and slow spreading disease. However for the combinations of parameters that are important from the epidemiological perspective (high infectiousness and expensive treatment) the models give similar results. Moreover, even where the choice of the strategy is different, the total cost spent on controlling the epidemic is very similar for both models. Although regular and small-world networks capture some aspects of the structure of real networks of contacts between people, animals or plants, they do not include the effect of clustering noted in many real-life applications. The use of random clustered networks in epidemiological modelling takes an impor- tant step towards application of the modelling framework to realistic systems. Network topology and in particular clustering also affects the applicability of the control strategy.
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Stocco, Aaron B. "Predicting Democratic Peace (DP) Breakdown, a new game-theoretic model of democratic crisis behavior." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1999. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape10/PQDD_0023/MQ50575.pdf.

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Oh, Joung Hoon. "Behavior of an ion in a bubble in the ground state." PDXScholar, 1991. https://pdxscholar.library.pdx.edu/open_access_etds/4193.

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Deuterons might be trapped in a bubble embryo which occur s due to statistical fluctuation in heavy water. The size of the bubble embryo is expected to be an order of a small molecule. The ground state energy level which the deuteron may occupy in the bubble is calculated by solving the Schroedinger equation, and by considering the interaction between the trapped deuteron by a spherical bubble and the surrounding polarized liquid medium (heavy water). From the dependence of the energy eigenvalue of the ground state on the bubble radius, the pressure exerted on the bubble wall is obtained. It is found that the pressure is negatively very large if the bubble radius is about the molecular size (3 to 7 Å). From extrapolating this result to larger sizes, we expect that a bubble would quickly collapse if enough energy is supplied and never grows to a stable bubble when the deuteron is trapped in the ground state.
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Mtundu, Nangantani Davies Godfrey. "The Stochastic Behavior of Soil Moisture and Its Role in Catchment Response Models." PDXScholar, 1987. https://pdxscholar.library.pdx.edu/open_access_etds/527.

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The object of current efforts at investigating catchment response is to derive a physically based stochastic model of the watershed. Recent studies have, however, indicated that a limiting factor in deriving such models is the dependence of hydrologic response on initial soil moisture. The dependence affects the distributions and moments of the hydrological processes being investigated. A stochastic model of soil moisture dynamics is developed in the form of a pair of stochastic differential equations (SDE's) of the Ito type. The sources of stochasticity are linked to the random inputs of rainfall and evapotranspiration (ET). One of the SDE's describes the "surplus" case, in which sufficient infiltration always occurs to allow for moisture depletion by the processes of drainage through and ET out of the root zone. The other SDE represents the "deficit" case, in which lack of adequate moisture leads only to an ET-controlled depletion process. Sample functions and moments of moisture evolution are obtained from the SDE's. From the general model of soil moisture, a specific model of initial soil moisture (the moisture at the beginning of a rainstorm event) is developed and its moments are derived. Furthermore, the probability distribution of initial moisture is postulated to permit the assessment of how initial moisture affects the estimation of hydrologic response. The moisture dynamics model reveals that the stochastic properties of moisture ae sensitive to initial conditions in the watershed only for less permeable soils under the "surplus" state but are practically insensitive to such conditions for more permeable soils. The stochastic properties are also less sensitive to initial conditions for all soil types whenever under the "deficit" state. These results suggest that hydrologic processes, such as precipitation excess and infiltration, depend on initial moisture only in regions where the soils are generally less permeable and where the climate tends to sustain a "wet" environment, whereas in arid or semi-arid regions, such processes would not depend on initial moisture. These conclusions imply that, in arid regions, an effective value of initial moisture such as the mean can be used to estimate the properties of the hydrologic processes, whereas in "wet" environments, more accurate values of the properties must be "weighted" based on the probability distribution of initial soil moisture.
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Chang, Kwangpil. "Essays on heterogeneity in choice modeling." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1998. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp02/NQ34537.pdf.

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TONELLATO, PETER JOHN. "CRITICAL BEHAVIOR OF AN IGNITION MODEL IN CHEMICAL COMBUSTION." Diss., The University of Arizona, 1985. http://hdl.handle.net/10150/188056.

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A model for the hot slab ignition problem is analyzed to determine critical conditions based on the parameters of the system. Activation energy asymptotics, a singular perturbation approach, is applied to the governing equation resulting in a Volterra integral equation of the second kind whose solution represents the temperature perturbation at the surface of the hot slab. The system is said to be supercritical for given parameter values when the temperature perturbation blows up in small finite time, an indication of ignition, or subcritical when the blow up time is large, indicating that heat loss effects overcome the hot slab ignition mechanisms. Comparison principles for integral equations are used to construct upper and lower solutions of the equation. The exact solution as well as the upper and lower solutions depend on two parameters ε, the Zeldovich number a measure of the heat release and λ, the scaled hot slab size. Upper and lower bounds on the transition region, delineating the super-critical from the sub-critical region, are derived based upon the lower and upper solution behavior. The product integration method is used to compute solutions of the Volterra equation for values of ε and λ in the transition region. The computations indicate that a critical curve, λ(c) lying between the analytic bounds, exists.
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Mao, Wen. "Essays on bargaining theory and voting behavior." Diss., Virginia Tech, 1994. http://hdl.handle.net/10919/38561.

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Alegre, Sanahuja Juan. "Mathematical network models applied to the analysis of mobile applications behavior." Doctoral thesis, Universitat Politècnica de València, 2016. http://hdl.handle.net/10251/67389.

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[EN] The network topologies are present in different social, political, economic and technological phenomena. These network structures allow to share information, alliances generation, behavior influence, opinion spread and virus transmission, among other aspects. Online networks are a reflection of the offline world and they also show these kind of network structures, in such a way that they allow the information transmission, social circle or community detection, affinity prediction between individuals, generation of recommendations, detection of influence people and generation of viral phenomena. Although all of these networks exhibit heterogeneity, they have enough underlying structure to allow their modelization for the study and analysis of all the listed phenomena. Nowadays, the line between the offline world and the online world is becoming more diffuse and there are network structures where both natures are mixed: There are almost as many mobile phones as individuals and in developed societies, the pervasiveness of smartphones on day-to-day is unquestionable in such a way that almost everybody is almost always connected everywhere. This permanent connection means that the individual, simultaneously and in a continuous mode, is a node belonging to its social network and its social network online. A key aspect of smartphones are the mobile applications that can be downloaded to the device. There are many applications for a host of different uses and the user behavior with these applications is the factor that determines how these applications behave. Also, mobile applications are the main source of infection of viruses on smartphones and, in this case, also the user behavior is what determines the transmission of these viruses. That is, the number of downloads of the application, the retention time of the application without being uninstalled, weekly minutes of usage, the popularity of the application, the transmission of viruses between smartphones, etc., depend on user behavior and, since the user is part of a social "offline" network and a social online network, in which the information is shared, communities are generated, behavior is influenced, opinion is spread and viruses are transmitted, we can intuit that the application behaviors can be modeled considering the network structure which user belongs to, so it is possible to analyze and study issues such as predicting the retention and download of applications and/or the transmission of viruses between smartphones. The purpose of this thesis is to analyze the behavior of mobile applications through mathematical network models. The behavior of mobile applications will be defined by the network of the users, taking into account parameters such as user behavior and technical issues of the mobile devices, so for model the networks both factors will be taken into account.
[ES] Las estructuras de redes están presentes en multitud de fenómenos sociales, políticos, económicos y tecnológicos. Estas estructuras permiten compartir información, constituir alianzas, influir en comportamientos, generar corrientes de opinión, y transmitir virus, entre otros aspectos. Las redes online son un reflejo del mundo "analógico" y también presentan este tipo de estructura de red, de tal forma que permiten transmitir información, detectar comunidades, predecir afinidades entre individuos, generar recomendaciones, identificar individuos influyentes o producir fenómenos virales. Aunque todas estas redes son de naturaleza heterogénea, la estructura subyacente que presentan permiten su modelización para el estudio y análisis de los fenómenos indicados. Actualmente, la línea que divide el mundo "analógico" y el mundo online es cada vez más difusa produciéndose estructuras de redes donde se entremezclan ambas naturalezas: Existen casi tantos teléfonos móviles como individuos y, en las sociedades desarrolladas, la omnipresencia de los smartphones en el día día es incuestionable de tal forma que cualquier persona está conectada casi en todo momento y lugar. Esta conexión permanente conlleva que el individuo constituya simultáneamente y de un modo continuo un nodo de su estructura de red social y de su red social online. Una parte fundamental de los smartphones son las aplicaciones que se pueden descargar en el dispositivo. Existen multitud de aplicaciones para infinidad de utilidades distintas y el comportamiento del usuario frente a esas aplicaciones es el que determina cómo se comportan dichas aplicaciones. Asimismo, las aplicaciones móviles son la principal fuente de contagio de virus en los smartphones y en este caso, también el comportamiento del usuario es el que determina la transmisión de esos virus. Es decir, el número de descargas de la aplicación, el tiempo de retención de la aplicación sin ser desinstalada, los minutos semanales de uso, la popularidad de la aplicación, la transmisión de virus en smartphones, etc., dependen del comportamiento del usuario y, puesto que el usuario forma parte de una red social "offline" y una red social online, en las cuales se comparte y transmite información, se constituyen comunidades, se influye en los comportamientos, se generan corrientes de opinión y se transmiten virus, podemos intuir que los comportamientos de las aplicaciones pueden ser modelizados considerando la estructura de red de la que el usuario forma parte, de tal forma que sea posible analizar y estudiar aspectos tales como predecir la descarga y retención de aplicaciones y/o la transmisión de virus entre smartphones. El propósito de la presente tesis doctoral es modelizar y analizar el comportamiento de las aplicaciones móviles mediante estructuras de red. El comportamiento de las aplicaciones móviles vendrá definido por la red formada por los usuarios, teniendo en cuenta tanto parámetros de comportamiento de los usuarios como parámetros relacionados con aspectos técnicos de los dispositivos móviles, por lo que para la modelización de las redes se tendrán en cuenta ambos factores.
[CAT] Les estructures de xarxes estàn presents en multitud de fenòmens socials, pol'itics, econòmics i tecnològics. Estes estructures permeten compartir informació, constituir aliances, influir en comportaments, generar corrents d'opinió, i transmetre virus, entre altres aspectes. Les xarxes online són un reflex del món analògic i també presenten este tipus d'estructura de xarxa, de tal forma que permet transmetre informació, detectar comunitats, predir afinitats entre individus, generar recomanacions, identificar individus influents o produir fenòmens virals. Encara que totes estes xarxes són de naturalesa heterogènia, l'estructura subjacent que presenten permeten la seua modelització per a l'estudi i anàlisi dels fenòmens indicats. Actualment, la línia que dividix el món analògic i el món online és cada vegada més difusa produintse estructures de xarxes on s'entremesclen ambós naturaleses: Existixen quasi tants telèfons mòbils com individus i, en les societats desenvolupades, l'omnipresència dels smartphones en el dia a dia és inqüestionable de tal forma que qualsevol persona està connectada quasi en tot moment i lloc. Esta connexió permanent comporta que l'individu constituïsca simultàniament i d'una manera contínua un node de la seua estructura de xarxa social i de la seua xarxa social online. Una part fonamental dels smartphones són les aplicacions que es poden descarregar en el dispositiu. Hi ha multitud d'aplicacions per a infinitat d'utilitats distintes i el comportament de l'usuari enfront d'eixes aplicacions és el que determina com es comporten aquestes aplicacions. Així mateix, les aplicacions mòbils són la principal font de contagi de virus en els smartphones i en este cas, també el comportament de l'usuari és el que determina la transmissió d'eixos virus. És a dir, el nombre de descàrregues de l'aplicació, el temps de retenció de l'aplicació sense ser esborrada, els minuts setmanals d'ús, la popularitat de l'aplicació, la transmissió de virus entre smartphones, etc., depenen del comportament de l'usuari i, ja que l'usuari forma part d'una xarxa social "offline" i una xarxa social online, en les quals es compartix i es transmet informació, es constituïxen comunitats, s'influïx en els comportaments, es generen corrents d'opinió i es transmeten virus, podem intuir que els comportaments de les aplicacions poden ser modelitzats considerant l'estructura de xarxa de què l'usuari forma part, de tal forma que siga possible analitzar i estudiar aspectes com ara predir la descàrrega i retenció d'aplicacions i/o la transmissió de virus entre smartphones. El propòsit de la present tesi doctoral és modelitzar i analitzar el comportament de les aplicacions mòbils per mitjà d'estructures de xarxa. El comportament de les aplicacions mòbils vindrà definit per la xarxa formada pels usuaris, tenint en compte tant paràmetres de comportament dels usuaris com paràmetres relacionats amb aspectes tècnics dels dispositius mòbils, per la qual cosa per a la modelització de les xarxes es tindràn en compte ambdós factors.
Alegre Sanahuja, J. (2016). Mathematical network models applied to the analysis of mobile applications behavior [Tesis doctoral no publicada]. Universitat Politècnica de València. https://doi.org/10.4995/Thesis/10251/67389
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Goldberg, Ilfra Charlotte. "Why is there fast-track promotion?" Thesis, McGill University, 1992. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=56909.

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This thesis seeks an explanation for the existence of corporate "fast tracks". Part One surveys four existing fast track models from the literature. In tournament theory, fast tracks have been viewed as a response to the adverse selection problem. In models where the firm uses junior positions for on-the-job screening, they may be a possibility permitted by a particular technology. Alternatively, they may arise from the signalling engaged in by workers when there is asymmetric information. Finally, they can be used as a way of overcoming a lack of precise information on worker ability.
In the second part of the thesis an alternative explanation is proposed. A firm is considered to consist of two levels: production workers and managerial workers. If a worker is an able manager, the firm will lose valuable production time by slow promotion. However, slower promotion allows more information to be revealed for a given expenditure. Different track lengths are created depending on the firm's initial assessment of managerial competence.
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Van, Zyl Verena Helen. "Searching for histogram patterns due to macroscopic fluctuations in financial time series." Thesis, Stellenbosch : University of Stellenbosch, 2007. http://hdl.handle.net/10019.1/3078.

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Thesis (MComm (Business Management))--University of Stellenbosch, 2007.
ENGLISH ABSTRACT: his study aims to investigate whether the phenomena found by Shnoll et al. when applying histogram pattern analysis techniques to stochastic processes from chemistry and physics are also present in financial time series, particularly exchange rate and index data. The phenomena are related to fine structure of non-smoothed frequency distributions drawn from statistically insufficient samples of changes and their patterns in time. Shnoll et al. use the notion of macroscopic fluctuations to explain the behaviour of sequences of histograms. Histogram patterns in time adhere to several laws that could not be detected when using time series analysis methods. In this study general approaches are reviewed that may be used to model financial markets and the volatility of price processes in particular. Special emphasis is placed on the modelling of highfrequency data sets and exchange rate data. Following previous studies of the Shnoll phenomena from other fields, different steps of the histogram sequence analysis are carried out to determine whether the findings of Shnoll et al. could also be applied to financial market data. The findings of this thesis widen the understanding of time varying volatility and can aid in financial risk measurement and management. Outcomes of the study include an investigation of time series characteristics in terms of the formation of discrete states, the detection of the near zone effect as proclaimed by Shnoll et al., the periodic recurrence of histogram shapes as well as the synchronous variation in data sets measured in the same time intervals.
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Books on the topic "Searching behavior – Mathematical models"

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author, Ben-Gal Irad, ed. Search and foraging: Individual motion and swarm dynamics. Boca Raton, FL: CRC Press, 2015.

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A, Roth Resa, ed. Exploratory search: Beyond the query-response paradigm. San Rafael, Calif. (1537 Fourth Street, San Rafael, CA 94901 USA): Morgan & Claypool Publishers, 2009.

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The mathematics of behavior. Cambridge: Cambridge University Press, 2006.

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E, Smith Tony, ed. Gravity models of spatial interaction behavior. Berlin: Springer-Verlag, 1995.

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Predictive behavior: An experimental study. Berlin: Springer-Verlag, 1993.

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International, Ethological Conference (19th 1985 Toulouse France). Quantitative models in ethology. Toulouse: Privat, 1986.

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Dzhafarov, Ehtibar N. Descriptive and normative approaches to human behavior. New Jersey: World Scientific, 2011.

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Tamar, Kugler, and United States. Air Force. Office of Scientific Research., eds. Decision modeling and behavior in complex and uncertain environments. New York: Springer, 2008.

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Ardeni, Pier Giorgio. The long-term behavior of commodity prices. Washington, DC (1818 H St. NW, Washington 20433): World Bank, 1990.

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B, Freeman Richard. Searching for the EU social dialogue model. Cambridge, Mass: National Bureau of Economic Research, 2006.

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Book chapters on the topic "Searching behavior – Mathematical models"

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Gan, Liren, Yonghua Cen, and Chen Bai. "Information Searching Behavior Mining Based on Reinforcement Learning Models." In Behavior Computing, 109–26. London: Springer London, 2012. http://dx.doi.org/10.1007/978-1-4471-2969-1_7.

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Jeffries, Clark. "The Behavior of Models with Attractor Regions." In Mathematical Modeling in Ecology, 144–61. Boston, MA: Birkhäuser Boston, 1989. http://dx.doi.org/10.1007/978-1-4612-4550-6_7.

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Gore, Anil, and Sharayu Paranjpe. "Optimal Decision Models in Animal Behavior Systems." In A Course in Mathematical and Statistical Ecology, 211–65. Dordrecht: Springer Netherlands, 2001. http://dx.doi.org/10.1007/978-94-015-9811-8_7.

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Tschoegl, Nicholas W. "Representation of Linear Viscoelastic Behavior by Mathematical Models." In The Phenomenological Theory of Linear Viscoelastic Behavior, 314–64. Berlin, Heidelberg: Springer Berlin Heidelberg, 1989. http://dx.doi.org/10.1007/978-3-642-73602-5_6.

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Dobrushin, R. L., and S. B. Shlosman. "Large Deviation Behavior of Statistical Mechanics Models in the Multiphase Regime." In Mathematical Physics X, 328–32. Berlin, Heidelberg: Springer Berlin Heidelberg, 1992. http://dx.doi.org/10.1007/978-3-642-77303-7_31.

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Agliari, Elena, Adriano Barra, Andrea Galluzzi, Andrea Pizzoferrato, and Daniele Tantari. "Ferromagnetic Models for Cooperative Behavior: Revisiting Universality in Complex Phenomena." In Mathematical Models and Methods for Planet Earth, 73–86. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-02657-2_6.

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Singh, Harsh, Ashish Kumar, and N. Nalini. "Mathematical Behavior of a Pandemic Using Models and Growth Curves." In Emerging Research in Computing, Information, Communication and Applications, 337–48. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-1342-5_27.

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Jüngel, Ansgar. "Diffusive and nondiffusive population models." In Mathematical Modeling of Collective Behavior in Socio-Economic and Life Sciences, 397–425. Boston: Birkhäuser Boston, 2010. http://dx.doi.org/10.1007/978-0-8176-4946-3_15.

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Gluhovsky, Alexander, and Christopher Tong. "Low-Order Models of Atmospheric Dynamics with Physically Sound Behavior." In IUTAM Symposium on Advances in Mathematical Modelling of Atmosphere and Ocean Dynamics, 147–52. Dordrecht: Springer Netherlands, 2001. http://dx.doi.org/10.1007/978-94-010-0792-4_17.

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Dostov, Victor, Pavel Shust, and Svetlana Krivoruchko. "Using Mathematical Models for Analysis and Prediction of Payment Systems Behavior." In Proceedings of Fifth International Congress on Information and Communication Technology, 583–89. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-5856-6_58.

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Conference papers on the topic "Searching behavior – Mathematical models"

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Eshghi, Soheil, Grace-Rose Williams, Gualtiero B. Colombo, Liam D. Turner, David G. Rand, Roger M. Whitaker, and Leandros Tassiulas. "Mathematical models for social group behavior." In 2017 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computed, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI). IEEE, 2017. http://dx.doi.org/10.1109/uic-atc.2017.8397423.

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Holzinger, Stefan, Manuel Schieferle, Johannes Gerstmayr, Manfred Hofer, and Christoph Gutmann. "Modelling and Parameter Identification for a Flexible Rotor With Periodic Impacts." In ASME 2021 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2021. http://dx.doi.org/10.1115/detc2021-71417.

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Abstract The ability of a multibody dynamics model to accurately predict the behavior of a real system depends heavily on the correct choice of model parameters. The identification of unknown system parameters, which cannot be directly computed or measured is usually time consuming and costly. If experimental measurement data of the real system is available, the parameters in the mathematical model can be determined by minimizing the error between the model response and the measurement data. The latter task can be solved by means of optimization. While many optimization methods are available, optimization with a genetic algorithm is a promising approach for searching optimal solutions for complex engineering problems, as reported in a paper of one of the authors. So far, however, there is no general approach how to apply genetic optimization algorithms for complex multibody system dynamics models in order to obtain unknown parameters automatically — which is however of great importance when dealing with real flexible multibody systems. In the present paper we present a methodology to determine several unknown system parameters applied to a flexible rotor system which is excited with periodic impacts. Experiments were performed on the physical system to obtain measurement data which is used to identify the impact force as well as the support stiffnesses of the rotor system using genetic optimization.
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Caraballo, Tomas, María J. Garrido-Atienza, Javier López-de-la-Cruz, and Alain Rapaport. "Modeling and Analyzing the Long-Time Behavior of Random Chemostat Models." In 9th Vienna Conference on Mathematical Modelling. ARGESIM Publisher Vienna, 2018. http://dx.doi.org/10.11128/arep.55.a55229.

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Pence, Thomas J., and Yefim Ivshin. "Building proper behavior into mathematical models for shape memory alloys." In 1994 North American Conference on Smart Structures and Materials, edited by H. Thomas Banks. SPIE, 1994. http://dx.doi.org/10.1117/12.174202.

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Chun-Jie Li. "Building of searching behavior analysis models on multi-agent intelligent agent technology." In 2012 IEEE Symposium on Electrical & Electronics Engineering (EEESYM). IEEE, 2012. http://dx.doi.org/10.1109/eeesym.2012.6258722.

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Lilley, David G. "Structural Fire Behavior." In ASME 1995 15th International Computers in Engineering Conference and the ASME 1995 9th Annual Engineering Database Symposium collocated with the ASME 1995 Design Engineering Technical Conferences. American Society of Mechanical Engineers, 1995. http://dx.doi.org/10.1115/cie1995-0762.

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Abstract A computer-based fire model is a scientific mathematical representation of a fire. Computer simulations incorporate to some degree the many chemical and physical processes taking place. Structural fire behavior is considered with emphasis on fire development (burning rates, radiant ignition, flashover and backdraft), experimental studies and fire modeling (field and zone models).
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Marzocchi, Alfredo, and Elena Vuk. "Asymptotic behavior for a model of transverse vibration of a bar with linear memory." In Mathematical Models and Methods for Smart Materials. WORLD SCIENTIFIC, 2002. http://dx.doi.org/10.1142/9789812776273_0022.

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Pesce, Celso Pupo, Roberto Ramos, Lauro Massao Yamada da Silveira, Rafael Loureiro Tanaka, Clo´vis de Arruda Martins, Fernanda Cristina Moraes Takafuji, Joa˜o Paulo Zi´lio Novaes, and Carlos Alberto Ferreira Godinho. "Structural Behavior of Umbilicals: Part I—Mathematical Modeling." In ASME 2010 29th International Conference on Ocean, Offshore and Arctic Engineering. ASMEDC, 2010. http://dx.doi.org/10.1115/omae2010-20892.

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Umbilicals for offshore application are very complex, since they combine elements of different mechanical behavior, such as steel tubes, thermoplastic hoses and power cores in a single structure, not to mention helically laid-up armouring layers and polymeric sheathes. This motivates continuous research on their mechanical modeling. This paper presents research undertaken in the structural behavior of umbilicals and focus on the mathematical modeling of the elements, which are gathered into concentric layers. Interaction between layers is included as well as helical lay-up of elements. The model here presented will be compared to a set of experimental results in a separate paper (Part II). An analytical model was developed combining equilibrium equations, geometric compatibility and constitutive relations to obtain a set of equations that describe the umbilical behavior under external loads. This set of equations is numerically solved to obtain contact pressures (or gaps) among layers, radial variations and strains in the elements (used to calculate the stresses). The model was built to be general in order to be able to cope with complex cross-sections designs often encountered. It was then implemented in a tailor made local analysis software, called UTILFLEX®. Both modeling and software resulted from a development program partnership between Prysmian Cables & Systems and University of Sa˜o Paulo. The paper will present modeling hypotheses and structural models that were used for steel tubes, hoses (thermoplastic and reinforced) and power cables and how the interaction among them has been treated.
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Osladil, Michal, and Libor Kozubik. "Auto-calibration of mathematical asset models: Refflecting change of behavior of energy assets." In 2017 18th International Scientific Conference on Electric Power Engineering (EPE). IEEE, 2017. http://dx.doi.org/10.1109/epe.2017.7967355.

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Stegou-Sagia, A., and D. V. Fragkou. "Influence of Drying Conditions and Mathematical Models on the Thin-Layer Drying of Mushrooms." In ASME 2014 12th Biennial Conference on Engineering Systems Design and Analysis. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/esda2014-20554.

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In the present research, experimental data from several studies about drying behavior of mushrooms have been selected and used to compare different drying methods and different mathematical thin layer drying models to simulate mushroom drying rates. The white button (Agaricus Bisporus), the oyster (Pleurotus Ostreatus) and the milky mushroom slices have been considered for drying in different dryers such as hot air cabinet dryer and fluidized bed dryer with different slice thicknesses, drying air temperatures (45 °C to 90 °C) and drying air velocities (0.2 m/s to 5 m/s). The entire drying process has taken place in the falling rate period, assuming that internal mass transfer occurred by diffusion in mushroom slices. The study shows that the drying air temperature and the drying air velocity have an effect on the moisture removal from mushrooms and also on the drying time. Mathematical models have been proved to be useful for design and analysis of heat and mass transfer during drying processes. All the drying models considered in this study could adequately represent the thin layer drying behavior of mushrooms. Furthermore, as it is obvious, any type of mushrooms has its own most suitable model.
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Reports on the topic "Searching behavior – Mathematical models"

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Levi, Mark. Mathematical Models of Non-Linear Mechanical and Electrical Systems and Their Qualitative Behavior. Fort Belvoir, VA: Defense Technical Information Center, October 1991. http://dx.doi.org/10.21236/ada248847.

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