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Artículos de revistas sobre el tema "Modelli deterministici"

Autor: Grafiati

Publicado: 10 de marzo de 2023

Última modificación: 19 de julio de 2025

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1

Trinchero, Roberto. "Modelli di scelta elettorale non deterministici: l’apporto dell’Intelligenza Artificiale." Quaderni di Sociologia, no. 8 (August 1, 1995): 116–24. http://dx.doi.org/10.4000/qds.6611.

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2

Berndt, Maximilian, Hagen Schmidt, Lars Müller, Eberhard Kerscher, Jörg Seewig, and Benjamin Kirsch. "Greybox-Modelle in der Zerspanung." Zeitschrift für wirtschaftlichen Fabrikbetrieb 119, no. 7-8 (2024): 573–76. http://dx.doi.org/10.1515/zwf-2024-1099.

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Abstract Compared to uncoated tools, coated tools offer a longer tool life. However, it is difficult to predict the wear of coated tools using only empirical methods. The combination of deterministic whitebox models and data-driven blackbox models to greybox models can enable a prediction of the wear condition. Therefore, this article presents a concept for the application of greybox models for wear prediction.

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3

Florita, Marcello. "Una storia di non linearità." Ricerca Psicoanalitica 25, no. 3 (2014): 63–75. http://dx.doi.org/10.4081/rp.2014.359.

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Il modello dei sistemi dinamici complessi e il paradigma della complessità offrono degli spunti interessanti per riflettere sui presupposti teorici e pratici inserenti alla psicoanalisi. In questo articolo ci si sofferma in particolare sull'argomento della non linearità dei sistemi viventi, intesa come superamento del modello deterministico, unifattoriale e prevedibile della realtà. Attraverso il caso clinico di Alessandro vengono tratti degli spunti interessanti sul tema della diagnosi, della teoria psicoanalitica e dell'attitudine mentale che può aiutare divincolarsi oltre i limiti del model

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4

ÇELİK EROĞLU, Şeyma, and Yusuf ŞAHİN. "Geri Dönüşüm Süreci İçin Yeni Bir Bulanık Envanter Modeli." Deu Muhendislik Fakultesi Fen ve Muhendislik 25, no. 73 (2023): 21–36. http://dx.doi.org/10.21205/deufmd.2023257303.

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Kullanım ömrü sona eren ürünlerin çeşitli işlemlerden sonra yeniden kullanılabilir hale getirilmesi çevresel, ekonomik ve sosyal alanlarda insanoğluna birçok fayda sağlar. Çevrenin korunması, hammadde ihtiyacının azalması, kaynakların ekonomik kullanımı ve kirliliğin azaltılması gibi faydaları nedeniyle de geri dönüşüm sektörünün önemi dünya çapında giderek artmaktadır. Bu çalışmada, geri dönüşüm sürecini içeren bulanık bir stok modeli önerilmiştir. İlk olarak, Dobos ve Richter (2003) tarafından geliştirilen sabit talep ve geri dönüş oranlarına sahip genişletilmiş bir üretim/geri dönüşüm model

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5

Colonnese, Fabio. "L’Objet Trouvé come modello tra approcci analogici e digitali." EGA Revista de Expresión Gráfica Arquitectónica 25, no. 40 (2020): 156. http://dx.doi.org/10.4995/ega.2020.12934.

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<span>Sebbene questa stagione di tecnologie digitali e tecniche di produzione semiautomatica ha condizionato la maggior parte della tradizionale catena di montaggio e gli strumenti del processo di progettazione e rappresentazione, l'uso di found-objects nella modellistica è ancora praticato, rivelato e promosso da architetti e docenti contemporanei. Questo potrebbe essere interpretato come il sintomo di una sorta di resistenza analogica o un modo per introdurre incidenti pianificati e incertezza in un processo di progettazione deterministico e omologante, ma lo scenario è sfaccettato. Qu

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6

Çağlar, Hatice Nazan. "Bitcoin kaotik analizi ve fiyat tahmin modeli önerisi." Journal of Life Economics 9, no. 1 (2022): 33–39. http://dx.doi.org/10.15637/jlecon.9.1.03.

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Kaos Teorisi, doğrusal olmayan dinamik sistemlerin davranışlarını tanımlar ve ekonomi alanında pek çok verinin modellenmesinde kullanılır. Kaos teori, sistemin doğrusal olmayan ve deterministik bir süreç olduğu varsayımlarına dayanır. Doğrusal modeller, ekonometrik sistemleri karmaşıklıklarını ortaya çıkarmakta yetersiz kalmaktadır. Bu çalışmanın amacı, Bitcoin günlük fiyatlarının zamana bağlı doğrusal olmayan dinamik bir sistem tarafından üretilip üretilmediğini araştırmak ve sistemin uzun vadede geleceğe yönelik tahmin yeteneğini araştırmak ve bir tahminleme modeli oluşturmaktır. Birçok ekon

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7

Tyran-Kamińska, M. "Diffusion and Deterministic Systems." Mathematical Modelling of Natural Phenomena 9, no. 1 (2014): 139–50. http://dx.doi.org/10.1051/mmnp/20149110.

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8

Kanno, Masayasu. "The valuation of stochastic insurance liabilities using a structural model approach." Journal of Financial Engineering 02, no. 01 (2015): 1550007. http://dx.doi.org/10.1142/s2345768615500075.

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Liability drives insurers' businesses. This paper examines the structural model approach of credit risk for the valuation of insurance liabilities and insurers' equity, and considers a stochastic process for liability. Grosen and Jørgensen's (2002) study presents the current approach taken by insurers; however, the model's structure is very simple, and its liability structure in particular has a deterministic time function. In contrast, we analyze a model that analytically evaluates an insurer's liability with the stochastic process. Furthermore, we analyze the model's default option originall

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9

Crabtree, R., H. Garsdal, R. Gent, O. Mark, and J. Dórge. "MOUSETRAP — A DETERMINISTIC SEWER FLOW QUALITY MODEL." Water Science and Technology 30, no. 1 (1994): 107–15. http://dx.doi.org/10.2166/wst.1994.0011.

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Recent research into the behaviour of sediments and associated pollutants in sewers has formed the foundation for a dynamic pollutograph-based sewer flow quality simulation model called MOUSETRAP. This is a new component to the MOUSE sewer system hydraulic modelling package. MOUSETRAP has been developed by an international consortium of sewer model developers and users to predict short term variations in sewer flow quality and sediment transport in response to storm events. MOUSETRAP is composed of a series of modules to represent: the quality of surface run off; sediment and pollutant transpo

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10

Wood, R. Kevin. "Deterministic network interdiction." Mathematical and Computer Modelling 17, no. 2 (1993): 1–18. http://dx.doi.org/10.1016/0895-7177(93)90236-r.

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11

Kardash, Stanislav. "Bewertung der Regelgüte bei komplexen Prozessstörungen." atp magazin 61, no. 4 (2019): 80–89. http://dx.doi.org/10.17560/atp.v61i4.2392.

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Die vorgeschlagene Methode ist ein Benchmark-Test bei kombinierter deterministisch-stochastischer Störgröße. Die deterministische Strögrößenkomponente wird mit Hilfe eines geeigneten Modells, z.B. Übertragungsfunktion, beschrieben, wodurch eine Auslegung des H2-optimalen Benchmark-Reglers erfolgt. Die stochastische Störgrößenkomponete wird separat modelliert und der stochastische Anteil des Systemverhaltens wird zusätzlich mit Hilfe der konventionellen Minimum-Varianz-Regelung als Benchmark bewertet. Die Performance des Regelungssystems wird auf Basis der L2-Norm des Ausgangssignals bewertet.

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12

VIANA, R. L., S. E. DE S. PINTO, J. R. R. BARBOSA, and C. GREBOGI. "PSEUDO-DETERMINISTIC CHAOTIC SYSTEMS." International Journal of Bifurcation and Chaos 13, no. 11 (2003): 3235–53. http://dx.doi.org/10.1142/s0218127403008636.

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We call a chaotic dynamical system pseudo-deterministic when it does not produce numerical, or pseudo-trajectories that stay close, or shadow chaotic true trajectories, even though the model equations are strictly deterministic. In this case, single chaotic trajectories may not be meaningful, and only statistical predictions, at best, could be drawn on the model, like in a stochastic system. The dynamical reason for this behavior is nonhyperbolicity characterized either by tangencies of stable and unstable manifolds or by the presence of periodic orbits embedded in a chaotic invariant set with

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13

Kleijwegt, Rob A. "On the Prediction of Sediment Transport in Sewers with Deposits." Water Science and Technology 27, no. 5-6 (1993): 69–80. http://dx.doi.org/10.2166/wst.1993.0487.

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There is a need for models to predict the negative effects of sewer deposits in order to improve design, maintenance and operation of sewerage systems. The lack of success of deterministic sewer sediment models in the past is caused by a lack of basic knowledge, which causes unknown uncertainties in the model's results. The basic knowledge about non-cohesive sediment transport has been studied with laboratory experiments. This has resulted in an understanding of the non-cohesive sewer sediment transport and the related subjects of bed shear stress, incipient motion, bed forms and flow resistan

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14

Arregui Ayastuy, Gerardo. "The implicit models of the option valuation." Cuadernos de Gestión 4, no. 2 (2004): 77–93. http://dx.doi.org/10.5295/cdg.19193ga.

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Of the alternative approaches to the Black-Scholes options valuation model, the implied models have had the largest development in last years. In this approach there are different alternatives: implied trees, deterministic volatility function models and implied volatility function models. All of them are based on the estimation of the risk-neutral probability distribution of underlying asset future prices, that is congruent with the options market prices. Accordingly, implied models are found to provide an exact fit of reported structure of options prices. However, the pricing performance of i

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15

Lee, Heeyoung, Angel Chang, Yves Peirsman, Nathanael Chambers, Mihai Surdeanu, and Dan Jurafsky. "Deterministic Coreference Resolution Based on Entity-Centric, Precision-Ranked Rules." Computational Linguistics 39, no. 4 (2013): 885–916. http://dx.doi.org/10.1162/coli_a_00152.

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We propose a new deterministic approach to coreference resolution that combines the global information and precise features of modern machine-learning models with the transparency and modularity of deterministic, rule-based systems. Our sieve architecture applies a battery of deterministic coreference models one at a time from highest to lowest precision, where each model builds on the previous model's cluster output. The two stages of our sieve-based architecture, a mention detection stage that heavily favors recall, followed by coreference sieves that are precision-oriented, offer a powerful

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16

PUENTE, CARLOS E. "DETERMINISTIC FRACTAL GEOMETRY AND PROBABILITY." International Journal of Bifurcation and Chaos 04, no. 06 (1994): 1613–29. http://dx.doi.org/10.1142/s0218127494001222.

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17

Alzahrani, Salem Mubarak. "Statistical Insights into Stochastic Glucose-InsulinDynamics: Modeling Insulin Degradation with the Michaelis-Menten Function." European Journal of Pure and Applied Mathematics 18, no. 1 (2025): 5404. https://doi.org/10.29020/nybg.ejpam.v18i1.5404.

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In this study, a glucose-insulin model with the Michaelis-Menten function as the rate of insulin degradation is analyzed using stochastic differential equations. Further, we solve the stochastic glucose-insulin model using the Milstein method, which is based on truncated Ito-Taylor expansions. Comparison of the approximation solution of a stochastic and deterministic model is illustrated by comparing the approximation solution with the deterministic model. A stochastic model allows random fluctuations in glucose-insulin diseases. Furthermore, the stochastic glucose-insulin model's numerical so

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18

A. Venkatesh. "A Nonlinear Deterministic Model for the Transmission of Influenza A Dynamics." Advances in Nonlinear Variational Inequalities 28, no. 5s (2025): 94–114. https://doi.org/10.52783/anvi.v28.3653.

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Mathematical models are highly beneficial for analyzing and identifying the most efficient strategies for reducing the severity of epidemics. This work presents and examines a nonlinear deterministic model, designated as SVLIJTR, for the spread pattern of influenza A (H1N1). The model considers the impacts of vaccination and treatment. The fluctuations in the infected population are tracked by evaluating the rates of vaccination, treatment, and isolation. This model rigorously examines the existence and stability of both disease-free and endemic equilibria. The model's basic reproduction numbe

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19

Krone, S. M. "Spatial models: stochastic and deterministic." Mathematical and Computer Modelling 40, no. 3-4 (2004): 393–409. http://dx.doi.org/10.1016/j.mcm.2003.09.037.

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20

Zhou, Fuli, and Yandong He. "Pallet Scheduling Models Under Deterministic and Non-Deterministic Scenarios Using a Hybrid GA Method." International Journal of Decision Support System Technology 13, no. 2 (2021): 1–15. http://dx.doi.org/10.4018/ijdsst.2021040101.

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This study examines the pallet scheduling problem considering random demands under the novel pallet operation mechanism by resources sharing among the pallet sharing system. Two nonlinear integer pallet scheduling models under deterministic and non-deterministic environment are formulated in terms of the pallet demand variable. To solve the pallet programming model, the hybrid genetic algorithm (HGA) integrating local search strategy is designed to derive the optimal pallet scheduling solution. Besides, the fixed sample size sampling strategy is employed to deal with the uncertain demand durin

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21

KOTELENEZ, PETER M. "FROM DISCRETE DETERMINISTIC DYNAMICS TO BROWNIAN MOTIONS." Stochastics and Dynamics 05, no. 03 (2005): 343–84. http://dx.doi.org/10.1142/s0219493705001511.

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Two types of point particles, large and small, with state space ℝd are considered, where d ≥ 2 and "large" and "small" refer to different masses. The small particles move deterministically with very large initial velocities. They transfer their momenta to the large particles through a smooth mean field interaction which completely determines the motion of the large particles. The joint dynamics is described in a spacetime lattice by an Euler scheme for coupled oscillators with a friction term for the large particles. This lattice defines the mesoscale for the system. A scaling limit leads to a

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22

Kazantsev, E. "Sensitivity of the attractor of the barotropic ocean model to external influences: approach by unstable periodic orbits." Nonlinear Processes in Geophysics 8, no. 4/5 (2001): 281–300. http://dx.doi.org/10.5194/npg-8-281-2001.

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Abstract. A description of a deterministic chaotic system in terms of unstable periodic orbits (UPO) is used to develop a method of an a priori estimate of the sensitivity of statistical averages of the solution to small external influences. This method allows us to determine the forcing perturbation which maximizes the norm of the perturbation of a statistical moment of the solution on the attractor. The method was applied to the barotropic ocean model in order to determine the perturbation of the wind field which provides the greatest perturbation of the model's climate. The estimates of per

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23

Steinhorst, R. K., P. Morgan, and L. F. Neuenschwander. "A stochastic-deterministic simulation model of shrub succession." Ecological Modelling 29, no. 1-4 (1985): 35–55. http://dx.doi.org/10.1016/0304-3800(85)90046-8.

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24

H. Andrew, Lachlan, Stephen Hanly, Sammy Chan, and Tony Cui. "Adaptive Deterministic Packet Marking." IEEE Communications Letters 10, no. 11 (2006): 790–92. http://dx.doi.org/10.1109/lcomm.2006.060898.

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25

Barrière, L., F. Comellas, C. Dalfó, and M. A. Fiol. "Deterministic hierarchical networks." Journal of Physics A: Mathematical and Theoretical 49, no. 22 (2016): 225202. http://dx.doi.org/10.1088/1751-8113/49/22/225202.

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26

Kondrashov, D., S. Kravtsov, and M. Ghil. "Empirical Mode Reduction in a Model of Extratropical Low-Frequency Variability." Journal of the Atmospheric Sciences 63, no. 7 (2006): 1859–77. http://dx.doi.org/10.1175/jas3719.1.

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Abstract This paper constructs and analyzes a reduced nonlinear stochastic model of extratropical low-frequency variability. To do so, it applies multilevel quadratic regression to the output of a long simulation of a global baroclinic, quasigeostrophic, three-level (QG3) model with topography; the model's phase space has a dimension of O(104). The reduced model has 45 variables and captures well the non-Gaussian features of the QG3 model's probability density function (PDF). In particular, the reduced model's PDF shares with the QG3 model its four anomalously persistent flow patterns, which c

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27

JI, CHUNYAN, and DAQING JIANG. "ANALYSIS OF A PREDATOR–PREY MODEL WITH DISEASE IN THE PREY." International Journal of Biomathematics 06, no. 03 (2013): 1350012. http://dx.doi.org/10.1142/s1793524513500125.

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In this paper, we discuss the behavior of a predator–prey model with disease in the prey with and without stochastic perturbation, respectively. First, we briefly give the dynamic of the deterministic system, by analyzing stabilities of its four equilibria. Then, we consider the asymptotic behavior of the stochastic system. By Lyapunov analysis methods, we show the stochastic stability and its long time behavior around the equilibrium of the deterministic system. We obtain there are similar properties between the stochastic system and its corresponding deterministic system, when white noise is

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28

Dong, Xunde, Chen Song, and Cong Wang. "Spiral Tip Identification via Deterministic Learning." International Journal of Bifurcation and Chaos 29, no. 03 (2019): 1950040. http://dx.doi.org/10.1142/s0218127419500408.

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A spiral tip can be considered as a wave source, i.e. a wave is sent out after the tip rotates one circle. Therefore, the dynamics of the spiral tip is vital to understand the behavior of spiral waves. In this paper, we study the spiral tip dynamics from a new perspective by using deterministic learning. A Barkley model described by partial differential equations (PDEs) is employed to illustrate the method. It is first transformed into a set of ordinary differential equations (ODEs) by using finite difference method. Then, the position states of spiral tip are extracted from the spiral wave ge

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29

Song, Chen, Xunde Dong, and Cong Wang. "Spiral Tip Recognition via Deterministic Learning." International Journal of Bifurcation and Chaos 30, no. 06 (2020): 2050093. http://dx.doi.org/10.1142/s0218127420500935.

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The spiral tip is vital to the understanding of the spiral wave behaviors. Most studies of spiral tip dynamics focused on the prevention, control, and elimination of spiral wave, while few studies focused on the recognition of spiral wave. In real systems with the spiral wave, the recognition of the spiral wave should be before control or elimination. In the paper, we study the recognition of the spiral tip via deterministic learning. It mainly consists of two phases: the identification phase and the recognition phase. In the identification phase, the dynamics of spiral tips of the training se

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30

Kim, Seunghwan, Seon Hee Park, and Chang Su Ryu. "Bifurcation of Locked States in Stochastic Systems." International Journal of Bifurcation and Chaos 08, no. 03 (1998): 591–95. http://dx.doi.org/10.1142/s0218127498000383.

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A stochastic system with a vanishing diffusion at deterministic fixed points is analytically studied. Above the critical noise intensity, the noise stabilizes the deterministic unstable fixed points. The system is locked at one of the deterministic stable or unstable fixed points with probabilities which depend on the noise intensity and an initial condition. An example is studied numerically showing the bifurcation of locked states.

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31

Lindemann, Christoph, and Gerald S. Shedler. "Numerical analysis of deterministic and stochastic Petri nets with concurrent deterministic transitions." Performance Evaluation 27-28 (October 1996): 565–82. http://dx.doi.org/10.1016/s0166-5316(96)90046-2.

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32

Lindemann, Christoph, and Axel Thümmler. "Transient analysis of deterministic and stochastic Petri nets with concurrent deterministic transitions." Performance Evaluation 36-37 (August 1999): 35–54. http://dx.doi.org/10.1016/s0166-5316(99)00020-6.

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33

Green, Edwin J., David W. MacFarlane, Harry T. Valentine, and William E. Strawderman. "Assessing Uncertainty in a Stand Growth Model by Bayesian Synthesis." Forest Science 45, no. 4 (1999): 528–38. http://dx.doi.org/10.1093/forestscience/45.4.528.

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Abstract The Bayesian synthesis method (BSYN) was used to bound the uncertainty in projections calculated with PIPESTEM, a mechanistic model of forest growth. The application furnished posterior distributions of (a) the values of the model's parameters, and (b) the values of three of the model's output variables--basal area per unit land area, average tree height, and tree density--at different points in time. Confidence or credible intervals for the output variables were obtained directly from the posterior distributions. The application also provided estimates of correlation among the parame

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34

Phan, Tuan Anh, Jianjun Paul Tian, and Bixiang Wang. "Dynamics of cholera epidemic models in fluctuating environments." Stochastics and Dynamics 21, no. 02 (2020): 2150011. http://dx.doi.org/10.1142/s0219493721500118.

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Based on our deterministic models for cholera epidemics, we propose a stochastic model for cholera epidemics to incorporate environmental fluctuations which is a nonlinear system of Itô stochastic differential equations. We conduct an asymptotical analysis of dynamical behaviors for the model. The basic stochastic reproduction value [Formula: see text] is defined in terms of the basic reproduction number [Formula: see text] for the corresponding deterministic model and noise intensities. The basic stochastic reproduction value determines the dynamical patterns of the stochastic model. When [Fo

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35

Upadhyay, Ranjit Kumar, Malay Banerjee, Rana Parshad, and Sharada Nandan Raw. "DETERMINISTIC CHAOS VERSUS STOCHASTIC OSCILLATION IN A PREY-PREDATOR-TOP PREDATOR MODEL." Mathematical Modelling and Analysis 16, no. 3 (2011): 343–64. http://dx.doi.org/10.3846/13926292.2011.601767.

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The main objective of the present paper is to consider the dynamical analysis of a three dimensional prey-predator model within deterministic environment and the influence of environmental driving forces on the dynamics of the model system. For the deterministic model we have obtained the local asymptotic stability criteria of various equilibrium points and derived the condition for the existence of small amplitude periodic solution bifurcating from interior equilibrium point through Hopf bifurcation. We have obtained the parametric domain within which the model system exhibit chaotic oscillat

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36

Borcea, L., F. González del Cueto, G. Papanicolaou, and C. Tsogka. "Filtering Deterministic Layer Effects in Imaging." Multiscale Modeling & Simulation 7, no. 3 (2009): 1267–301. http://dx.doi.org/10.1137/080731529.

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37

CARMONA, S. C., and M. I. FREIDLIN. "ON LOGARITHMIC ASYMPTOTICS OF STOCHASTIC RESONANCE FREQUENCIES." Stochastics and Dynamics 03, no. 01 (2003): 55–71. http://dx.doi.org/10.1142/s0219493703000607.

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Stochastic resonance effects due to arbitrarily small amplitude deterministic perturbations in dynamical systems with noise are studied. The concept of Log-Asymptotic Resonance Frequency is introduced and the relationship between its existence and some types of symmetries in the stochastic system is established; the spectrum of this kind of frequencies is determined. These symmetries are defined through the quasi-deterministic approximation of the system. The large deviation theory gives the basic machinery for this analysis.

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38

Huang, Scott C. H., Cheng-Shang Chang, and Cheng-Yu Chen. "Nonadaptive Deterministic Asynchronous Conflict Resolution." IEEE Communications Letters 22, no. 6 (2018): 1168–71. http://dx.doi.org/10.1109/lcomm.2018.2822737.

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39

Krasovskii, N. N. "Deterministic strategy and stochastic programs." Journal of Applied Mathematics and Mechanics 49, no. 2 (1985): 135–43. http://dx.doi.org/10.1016/0021-8928(85)90092-9.

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40

Gidea, Marian, Claudia Gidea, and William Byrd. "Deterministic models for simulating electrocardiographic signals." Communications in Nonlinear Science and Numerical Simulation 16, no. 10 (2011): 3871–80. http://dx.doi.org/10.1016/j.cnsns.2011.01.022.

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41

Arcaute, Esteban, Ning Chen, Ravi Kumar, et al. "Deterministic Decentralized Search in Random Graphs." Internet Mathematics 5, no. 1-2 (2008): 141–54. http://dx.doi.org/10.1080/15427951.2008.10129298.

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42

Pal, Suryakanta, Sudhakar Sahoo, and Birendra Kumar Nayak. "Deterministic Computing Techniques for Perfect Density Classification." International Journal of Bifurcation and Chaos 29, no. 05 (2019): 1950064. http://dx.doi.org/10.1142/s0218127419500640.

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The aim of this paper is to solve the density classification task (DCT), an extensively studied classical problem, using one-dimensional nonuniform Cellular Automata (CA) rules. A perfect solution of DCT requires searching for CA rules for binary strings of all possible lengths. But the generic problem is still open though the solution exists only for a specific fixed length CA. This paper provides two fundamental ideas to solve this problem in a better way. The first technique solves this problem using deterministic Turing machines which ultimately leads to generation of different CA rules un

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43

FUSSY, SIEGFRIED, GERHARD GRÖSSING, and HERBERT SCHWABL. "FRACTAL EVOLUTION IN DETERMINISTIC AND RANDOM MODELS." International Journal of Bifurcation and Chaos 06, no. 11 (1996): 1977–95. http://dx.doi.org/10.1142/s0218127496001284.

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One-dimensional coupled map lattices or quantum cellular automata with any additionally implemented temporal feedback operations (involving some memory of the system’s states) and a normalization procedure after each time step exhibit a universal dynamic property called fractal evolution [Fussy & Grössing, 1994]. It is characterized by a power-law behavior of a system’s order parameter with regard to a resolution-like parameter which controls the deviation from an undisturbed (i.e., feedback-less) system’s evolution and provides a dynamically invariant measure for the emerging spatiotempor

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44

NIETHAMMER, B., and J. J. L. VELÁZQUEZ. "HOMOGENIZATION IN COARSENING SYSTEMS I: DETERMINISTIC CASE." Mathematical Models and Methods in Applied Sciences 14, no. 08 (2004): 1211–33. http://dx.doi.org/10.1142/s021820250400360x.

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We study the homogenization limit of the Mullins–Sekerka problem which serves as a model for late-stage coarsening in a phase transformation. We consider the case that the screening length which describes the effective range of particle interactions is much smaller than the system size, which leads to homogenization problems in unbounded domains. The present paper deals with deterministic initial particle distributions which are in an average sense homogeneously distributed. Stochastic particle distributions will be considered in a second paper (Part II).

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45

Leuenberger, Michael, Joana Parente, Marj Tonini, Mário Gonzalez Pereira, and Mikhail Kanevski. "Wildfire susceptibility mapping: Deterministic vs. stochastic approaches." Environmental Modelling & Software 101 (March 2018): 194–203. http://dx.doi.org/10.1016/j.envsoft.2017.12.019.

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46

Esobinenwu, Chizindu Stanley, and Abayomi Owoseni Ibirinde. "Comparative Analysis of Oilfield Chemical Operations Using Deterministic and Stochastic Models." Asian Journal of Advanced Research and Reports 19, no. 2 (2025): 243–57. https://doi.org/10.9734/ajarr/2025/v19i2905.

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Efficient management of oilfield chemical operations is paramount for enhancing production, minimizing risks, and maximizing profitability in the oil and gas industry. This study presents a comprehensive comparative analysis of deterministic and stochastic modeling techniques to optimize oilfield chemical operations. Focusing on demulsifying and matrix acidizing operations in Nigeria, the research employed deterministic (Critical Path Method - CPM) and stochastic (Program Evaluation and Review Technique - PERT) models for analysis. Results demonstrate the deterministic model's ability to provi

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47

Lin, Yiqing, and Abdoulaye Soumana Hima. "Reflected stochastic differential equations driven by G-Brownian motion in non-convex domains." Stochastics and Dynamics 19, no. 03 (2019): 1950025. http://dx.doi.org/10.1142/s0219493719500254.

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In this paper, we first review the penalization method for solving deterministic Skorokhod problems in non-convex domains and establish estimates for problems with [Formula: see text]-Hölder continuous functions. With the help of these results obtained previously for deterministic problems, we pathwisely define the reflected [Formula: see text]-Brownian motion and prove its existence and uniqueness in a Banach space. Finally, multi-dimensional reflected stochastic differential equations driven by [Formula: see text]-Brownian motion are investigated via a fixed-point argument.

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48

Xiong, Wei, David Jagerman, and Tayfur Altiok. "queue with deterministic reneging times." Performance Evaluation 65, no. 3-4 (2008): 308–16. http://dx.doi.org/10.1016/j.peva.2007.07.003.

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49

Tan, Matthias Hwai Yong. "Monotonic Metamodels for Deterministic Computer Experiments." Technometrics 59, no. 1 (2017): 1–10. http://dx.doi.org/10.1080/00401706.2015.1105759.

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50

Browne, B., J. Duchassaing, and F. Suter. "Longevity: A ‘Simple’ Stochastic Modelling of Mortality." British Actuarial Journal 15, S1 (2009): 249–65. http://dx.doi.org/10.1017/s1357321700005596.

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ABSTRACTAll UK insurers exposed to longevity risk need to perform stress tests for their Individual Capital Assessment (ICA). Some have put in place deterministic models which are arguably too simple; others have developed stochastic models that can be demanding and complex.This paper presents a simple model to turn any deterministic mortality scenario into a stochastic model. We propose a simple model of stochastic variation that is easy to explain and to implement, which could be an alternative to and/or complete some of the well known models. The model can be applied to any best estimates o

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