Enhanced sampling in generalized ensemble with large gap of sampling parameter: Case study in temperature space random walk

Cheng Zhang; Jianpeng Ma

doi:10.1063/1.3139192

Enhanced sampling in generalized ensemble with large gap of sampling parameter: Case study in temperature space random walk

The Journal of Chemical Physics ◽

10.1063/1.3139192 ◽

2009 ◽

Vol 130 (19) ◽

pp. 194112 ◽

Cited By ~ 18

Author(s):

Cheng Zhang ◽

Jianpeng Ma

Keyword(s):

Random Walk ◽

Enhanced Sampling ◽

Parameter Case ◽

Sampling Parameter

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Random Walk in Emerging Markets: A Case Study of the Karachi Stock Exchange

Risk Management in Emerging Markets ◽

10.1057/9780230596368_5 ◽

2005 ◽

pp. 57-70

Author(s):

Orla Gough ◽

Ali Malik

Keyword(s):

Random Walk ◽

Emerging Markets ◽

Stock Exchange

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Simulating human mobility with a Lagrangian Constraint Random Walk Model based on climatic and environmental conditions

10.5194/egusphere-egu2020-15470 ◽

2020 ◽

Author(s):

Konstantin Klein ◽

Yaping Shao ◽

Masoud Rostami

Keyword(s):

Random Walk ◽

Human Mobility ◽

Human Existence ◽

Random Walk Model ◽

Population Pressure ◽

Random Component ◽

Hunter Gatherers ◽

Environment Model ◽

The Last Glacial

<p>Archaeological records indicate that human population experienced frequent decline and growth as humans were on their way to populate the whole planet. Our hypothesis is that climate and environment were the main drivers for human existence and dispersal. Based on this hypothesis, we develop a Lagrangian Constraint Random Walk Model (CRW) to simulate the dispersal of hunter-gatherers. Human existence potential (HEP) is estimated using climate/environment model data, supported by archaeological evidence. The CRW simulates the movement of individual humans with a stochastic differential equation. While the movement of the individuals has a random component, it is constrained by a drift term which depends on the HEP. Population growth and decline are represented using a birth and a death term. Sociological elements of hunter-gatherers, such as population pressure, conflicts, and cooperation, are considered in the model. With the CRW, we estimate human mobility and dispersal based on the statistical behavior of a large ensemble of individuals. Furthermore, by varying the external factors and hence the HEP, we evaluate the response of hunter-gatherer societies to climate change. We will present the model and a case study on the mobility of hunter-gatherers on the Iberian Peninsula during the Last Glacial Maximum.</p>

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