Monte-Carlo based method
A Monte Carlo localization method based on differential evolution optimization applied into economic forecasting in mobile wireless sensor networks
... Range-based localization requires additional hardware and power consumption, so nodes can achieve accurate positioning resolution. However, the demand to reduce hardware dependency and energy cost has been the ...
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Reliability Simulation of System with Periodic Test Based on Monte Carlo Method
... paper, based on the direct simulation method, we focus on the case of discontinuous state transitions with periodic ...the method adopted in this paper is correct and ...
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Solving Method of Workspace for 6 DOF Robot Based on Vision
... analytic method, graphic method and numerical ...Analytic method presents great complexity and poor visibility [2, 3] ...Graphic method has good visibility, but the solution of this ...
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Robustness analysis of signaling transduction networks based on Monte-Carlo method
... D ep artm ent of A utom a tion, No rth U n ive rsity of Ch ina, Taiyuan Shanxi 030051, China A BSTRACT: The dynam ic behavio rs of ce ll system we re deep ly affec ted by struc tu ral c[r] ...
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Parallel Quasirandom Applications on Heterogeneous Grid
... of Monte Carlo methods is that they are usually very easy to be ...quasi-Monte Carlo application depends crucially on various quality aspects of the parallel quasirandom sequences used [5, ...
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RISK ASSESSMENT WITH THE USE OF THE MONTE-CARLO METHOD
... . Based on the developed mathematical model, a computer program was created, which allows per- forming serial calculations for determining the impact zones during emergency situations at the chemically hazard- ous ...
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RISK ASSESSMENT WITH THE USE OF THE MONTE-CARLO METHOD
... value. Based on the developed mathematical model, a computer program was created, which allows per- forming serial calculations for determining the impact zones during emergency situations at the chemically ...
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Evaluating A Business Intelligence Solution Feasibility Analysis Based On Monte Carlo Method
... Keywords: Business Intelligence BI, Software as a Service SaaS, Monte Carlo method, BI project feasibility, Total Cost of Ownership TCO, Return on Investment ROI, Internal Rate of Return[r] ...
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Reduction error in Asian option pricing based on partition Monte Carlo method
... The Monte Carlo (MC) method has been introduced in finance in 1977, in the pioneering work ...quasi-Monte Carlo (QMC) methods to estimate the price of a collaterized mortgage obligation ...
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Approximate Bayesian Computation for Copula Estimation
... simple method for making inference on a functional of a multivariate distri- ...The method is based on a copula representation of the multivariate distribution and it is based on the ...
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Reliability Assessment of Bearings Based on Performance Degradation Values under Small Samples
... the method of reliability assessment based on lifetime data to the high reliability and long lifetime bearings would be ...methods based on performance degradation data are often applied in a large ...
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A new Monte Carlo mobile node localization algorithm based on Newton interpolation
... In this paper, the mobile node RSSI-IMCL algorithm in wireless sensor networks is proposed, and the random waypoint mobile model is improved. A Newtonian interpolation method is used to estimate the motion speed ...
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Multilevel and quasi Monte Carlo methods for uncertainty quantification in particle travel times through random heterogeneous porous media
... MLMC method over standard MC is due to the fact that most of the uncertainty can be captured on the coarsest grids, and thus, the number of realizations needed on the finest grids is greatly ...QMC method ...
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Single Electron Transistor and its Simulation methods
... simulator based on the Monte Carlo method or the Master Equation but big disadvantage is that it does not capture any Coulomb interaction between adjacent transistors, Monte ...
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A Probabilistic Monte Carlo model for pricing discrete barrier options
... models based on Lévy ...framework based on the Spitzer’s ...'The method involves a sequential evaluation of Hilbert transforms of the product of the Fourier transform of the value function at the ...
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Evaluation of Investment Risks in CBA with Monte Carlo Method
... Decision-making process on the selection of suitable projects in public sector is in some aspects more diffi cult than in the private sector. Evaluating projects on the basis of their fi nancial profi tability, where the ...
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TESTING HISTOLOGICAL IMAGES OF MAMMARY TISSUES ON COMPATIBILITY WITH THE BOOLEAN MODEL OF RANDOM SETS
... a Monte Carlo method based on the approximation of the envelopes by a multi-normal distribution with the normalized intrinsic volume densities of parallel sets as a summary statistics had the ...
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An Improved Clustering based Monte Carlo Localization approach for Cooperative Multi-robot Localization
... and asymmetric environment with obstacle. The average localization time is 368.02 seconds in the symmetric environment while others are only 31.4s, 33.24s, and 28.74s, respectively. The reason of the extremely long time ...
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Approximate Pricing of Swaptions in Affine and Quadratic Models
... This paper proposes new bounds on the prices of European-style swaptions for affine and quadratic interest rate models. These bounds are computable whenever the joint characteristic function of the state variables is ...
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Spatial-Temporal Variability of the Model Characteristics in the Southern Atlantic
... decomposition method (called the Karhunen-Loeve decomposition) has been used as a main research ...the method to the problem of assimilating the observation data is shown, and physical sense of such ...
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