deterministic models
Deterministic Models of the Physical Layer through Signal Simulation
... and deterministic models of the network protocol layers, whereas rather simple and stochastic models, based on the signal-to-noise ratio, are used for the simulation of the phys- ical ...
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Stochastic and deterministic models for age-structured populations with genetically variable traits
... and deterministic models of populations with age structure in Section ...and deterministic approaches are established: from a stochastic individual-based model (IBM), we recover the partial ...
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Stochastic and deterministic models for agricultural production networks
... In order to carry out numerical simulations and to compare the results of the stochastic and deterministic models (equations (5) and (9), respectively), we must choose reasonable values for all model ...
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Causal Bounds and Observable Constraints for Non-deterministic Models
... the deterministic counterfactual model, it can be bounded with the joint distribution of A, B and C (Pearl, 1995; Robins, 1989; Manski, ...the deterministic counterfactual approach and linear programming ...
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Adaptive correction of deterministic models to produce probabilistic forecasts
... Calibration with the GML methodology allows model se- lection to be performed using time series identification crite- ria, such as the AIC (Akaike, 1974) or BIC (Schwarz, 1978). This leads to the selection of the SLLT at ...
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Deterministic Models of an Active Magnetic Bearing System
... mathematical models of a izontal shaft AMB system are derived in which the gyroscopic effect and mass imbalance are also ...AMB models are developed based on the system with voltages as the inputs and the ...
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Stochastic vs. deterministic models for systems with delays
... Chain models are widely used to model physical and biological processes ...These models are typically used when dealing with dy- namic systems involving low species ...such models one often wishes to ...
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A new method for avalanche hazard mapping using a combination of statistical and deterministic models
... Abstract. The purpose of the present paper is to pro- pose a new method for avalanche hazard mapping using a combination of statistical and deterministic modelling tools. The methodology is based on ...
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Probabilistic and Piecewise Deterministic models in Biology
... to models where the population is represented by a discrete variable, and/or the environment fluctuates ...population models, and that the interplay between the discrete and continuous components makes the ...
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Adaptive simulation of hybrid stochastic and deterministic models for biochemical systems
... At least three different algorithmic approaches for simulating the stochastic part in the hybrid model (6) are available: (i) the first reaction method [13, 14], (ii) the direct method [13, 14] and (iii) the next reaction ...
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Comparison between stochastic and deterministic selection-mutation models
... and deterministic selection-mutation ...the deterministic case the one with the highest ratio will win the competition but it is not so in the stochastic ...
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Diversity aware Event Prediction based on a Conditional Variational Autoencoder with Reconstruction
... aware models, we also extend existing eval- uation datasets by tying each current event to multiple next ...CVAE-based models drastically out- perform deterministic models in terms of pre- ...
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Determinism and Indeterminism
... between deterministic models derived from Newtonian theory and stochastic models obtained by applying observation functions to these deterministic ...for deterministic models ...
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Asymptotic Behavior of Global Positive Solution to an Information Diffusion Model with Random Perturbation in Social Network
... diffusion models with random perturbation in social ...the models exit the unique global positive ...the deterministic models, obtain the stochastic asymptotic stability condition, ...
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The stochastic multiplicative cascade structure of deterministic numerical models of the atmosphere
... tic one. At the moment, this goal can only be achieved by a nontrivial marriage between the deterministic models and stochasticity, which is currently artificially introduced via various methods of ...
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Antibiotic control of antibiotic resistance in hospitals: a simulation study
... the deterministic models; not only will the implementation of any of the above listed measures substantially reduce the incidences of hospital-acquired infections and the frequency of resistance, the ...
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Deterministic methodology for comparison of nested stochastic models
... mathematical models is the ability to compare models as one attempts to improve the models being ...stochastic models the ideas and techniques developed previously [4] for statistically-based ...
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DETERMINISTIC AND PROBABILISTIC MODELS IN INVENTORY CONTROL
... Deterministic models of inventory control are used to determine the optimal inventory of a single item when demand is mostly largely obscure. Under this model inventory is built up at a constant rate to ...
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Nine challenges for deterministic epidemic models
... of deterministic mod- els in epidemiology without full recognition of their limitations, and with potentially misleading ...metapopulation models have a long successful history (Hanski and Gaggiotti, 2004), ...
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A deterministic inventory model for deteriorating items with selling price dependent demand and three-parameter Weibull distributed deterioration Pages 497-510 Download PDF
... In the present competitive market, the effect of marketing policies and conditions such as the price variations and the advertisement of an item change its demand pattern amongst the public. The propaganda and canvassing ...
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