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Deterministic and probabilistic sensitivity analyses in combination

Seismic microzonation of Semarang, Indonesia, based on probabilistic and deterministic combination analysis

Seismic microzonation of Semarang, Indonesia, based on probabilistic and deterministic combination analysis

... Faculty of Civil and Environmental Engineering, Bandung Institute of Technology, Indonesia Research Center for Disaster Mitigation, Bandung Institute of Technology, Indonesia Abstract One of the most important pieces of ...

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Probabilistic and Piecewise Deterministic models in Biology

Probabilistic and Piecewise Deterministic models in Biology

... Unlike previous works on this subject ( [41], [45], [22]), the existence of our auxiliary process does not rely on the existence of spectral elements for the mean operator of the branching process. In particular, we can ...

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Management of Aging Aircraft using Deterministic and Probabilistic Metrics -

Management of Aging Aircraft using Deterministic and Probabilistic Metrics -

... a combination of deterministic and probabilistic ...The deterministic metric provides a damage index for each aircraft relative to the full-scale ...a probabilistic metric has to be ...

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PAC-learnability of Probabilistic Deterministic Finite State Automata

PAC-learnability of Probabilistic Deterministic Finite State Automata

... However the extension from acyclic PDFAs to all PDFAs produces an additional problem. As we shall see, the KLD between the target and the hypothesis can be decomposed into terms based on the contributions of particular ...

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A dynamic probabilistic safety margin characterization approach in support of Integrated Deterministic and Probabilistic Safety Analysis

A dynamic probabilistic safety margin characterization approach in support of Integrated Deterministic and Probabilistic Safety Analysis

... The rationale behind the choice of the selection of the 95 th and the 5 th percentiles for the safety parameter and the estimated time, respectively, lies in the attempt of assuring that there is no significant evidence ...

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Rejection Strategies for Learning Vector Quantization – A Comparison of Probabilistic and Deterministic Approaches

Rejection Strategies for Learning Vector Quantization – A Comparison of Probabilistic and Deterministic Approaches

... Comb: This measure combines the previous two reject options r Comb (x) = (r Dist (x), r d + (x)) lead- ing to a reject strategy based on a threshold vec- tor θ = (θ 1 , θ 2 ): x is rejected if r Dist (x) < θ 1 or r d + ...

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MC2: Multicore and Cache Analysis via Deterministic and Probabilistic Jitter Bounding

MC2: Multicore and Cache Analysis via Deterministic and Probabilistic Jitter Bounding

... In general, compilers allocate memory objects in the order they are in the source file. Very few compiler options violate this principle, which can be disabled during compilation with small (if any) impact in the ...

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Deterministic and probabilistic seismic hazard analyses in Thailand and adjacent areas using active fault data

Deterministic and probabilistic seismic hazard analyses in Thailand and adjacent areas using active fault data

... obtained probabilistic seismic hazard maps revealed quite similar hazard ...Therefore, probabilistic seis- mic hazard calculation using the logic tree weighting of both frequency-magnitude models have been ...

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SENSITIVITY ANALYSES AND ELECTRONIC IMPLEMENTATIONS OF OPTIMAL INVESTMENT STRATEGIES AND REWARDS FOR A CERTAIN DYNAMIC CLASS OF PROBABILISTIC INVESTMENT PROBLEMS

SENSITIVITY ANALYSES AND ELECTRONIC IMPLEMENTATIONS OF OPTIMAL INVESTMENT STRATEGIES AND REWARDS FOR A CERTAIN DYNAMIC CLASS OF PROBABILISTIC INVESTMENT PROBLEMS

... certain probabilistic dynamic investment problems for practical and realistic consideration, using backward recursive dynamic ...for sensitivity analysis of the problem, in a matter of ...

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Proving expected sensitivity of probabilistic programs

Proving expected sensitivity of probabilistic programs

... Selsam et al. 2017 ]. Rapid Mixing for Population Dynamics. Randomized algorithms are a useful tool for modeling biological and social phenomena (see, e.g., Jansen [ 2013 ]). They can be used to analyze population ...

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Probabilistic communication and I/O tracing with deterministic replay at scale

Probabilistic communication and I/O tracing with deterministic replay at scale

... precision, sizes drop again by almost 50%. This second reduction has been attributed to function parameters collected as histograms. Many events with varying function parameters are not combined under lossless tracing or ...

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Deterministic and Probabilistic Analysis of Semi-elliptical Cracks in Austenitic Steel

Deterministic and Probabilistic Analysis of Semi-elliptical Cracks in Austenitic Steel

... theoretical analyses of the fatigue lives of industrial pipelines, taking into account their operating times, made it possible to formulate the following conclusions: x There was observed that the fatigue life of ...

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Sensitivity analysis of drinking dynamics: From deterministic to stochastic formulations

Sensitivity analysis of drinking dynamics: From deterministic to stochastic formulations

... A deterministic model, assuming homogeneous mixing, is used to derive relative sensitiv- ity functions which explain how the recovery and relapse rates affect the establishment of problem ...from ...

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COMPARATIVE PROBABILISTIC-DETERMINISTIC INVESTIGATIONS FOR EVALUATION OF SEISMIC SOIL-STRUCTURE RESPONSE

COMPARATIVE PROBABILISTIC-DETERMINISTIC INVESTIGATIONS FOR EVALUATION OF SEISMIC SOIL-STRUCTURE RESPONSE

... THE PROBABILISTIC-DETERMINISTIC INVESTIGATIONS The general purpose of the analytical methods employed in structural design standards is to provide reasonable levels of conservatism to account for load ...

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When to conduct probabilistic linkage vs. deterministic linkage? A simulation study

When to conduct probabilistic linkage vs. deterministic linkage? A simulation study

... Although probabilistic linkage outperformed deterministic link- age in most scenarios, the results were comparable if only a very low or low rate of missing and error was present in the database, regardless ...

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Liquefaction maps in Babol City, Iran through probabilistic and deterministic approaches

Liquefaction maps in Babol City, Iran through probabilistic and deterministic approaches

... a sensitivity analysis is usually performed prior to the main GA analysis through which an appro- priate range for the variables is ...The sensitivity analysis conducted for minimization of the function of ...

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Probabilistic and deterministic estimates of near-field tsunami hazards in northeast Oman

Probabilistic and deterministic estimates of near-field tsunami hazards in northeast Oman

... and probabilistic analyses presented ...This deterministic scenario produces simulated wave heights reaching ...the probabilistic analysis includes the effect of this segment ...The ...

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DETERMINISTIC AND PROBABILISTIC MODELS IN INVENTORY CONTROL

DETERMINISTIC AND PROBABILISTIC MODELS IN INVENTORY CONTROL

... a deterministic model and a probabilistic model and to suggest an optimum way to minimize the overall holding ...A deterministic situation is one in which the systems parameters can be ascertained ...

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State agnostic planning graphs: deterministic, non-deterministic, and probabilistic planning

State agnostic planning graphs: deterministic, non-deterministic, and probabilistic planning

... We also compared POND to state of the art planners in non-deterministic and probabilistic planning. We demonstrated that, by using SLUG and M cSLUG, POND is highly competitive with the state of the art in ...

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Deterministic and Stochastic Modeling of Insulin Sensitivity

Deterministic and Stochastic Modeling of Insulin Sensitivity

... Bergman’s deterministic minimal model (ODE) to estimate the insulin sensitivity based on a nonlinear mixed effect ...insulin sensitivity but did not give conclusive ...

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