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Estimation of the Success Probability of Random Sampling by the Gram-Charlier Approximation
public-key cryptography lattice techniques
2018/11/19
The lattice basis reduction algorithm is a method for solving the Shortest Vector Problem (SVP) on lattices. There are many variants of the lattice basis reduction algorithm such as LLL, BKZ, and RSR....
昆明理工大学理学院概率论与数理统计课件Chapter 6 Random Sampling--Sampling Distributions
昆明理工大学理学院 概率论与数理统计 课件 Chapter 6 Random Sampling Sampling Distributions
2017/4/17
昆明理工大学理学院概率论与数理统计课件Chapter 6 Random Sampling--Sampling Distributions.
昆明理工大学理学院概率论与数理统计课件Chapter 6 Random Sampling--Some Important Statistics
昆明理工大学理学院 概率论与数理统计 课件 Chapter 6 Random Sampling Some Important Statistics
2017/4/17
昆明理工大学理学院概率论与数理统计课件Chapter 6 Random Sampling--Some Important Statistics.
昆明理工大学理学院概率论与数理统计课件Chapter 6 Random Sampling--Random Sampling
昆明理工大学理学院 概率论与数理统计 课件 Chapter 6 Random Sampling Random Sampling
2017/4/17
昆明理工大学理学院概率论与数理统计课件Chapter 6 Random Sampling--Random Sampling.
Random Sampling Revisited: Lattice Enumeration with Discrete Pruning
Enumeration Algorithms Short Vectors
2017/2/23
In 2003, Schnorr introduced Random sampling to find very short lattice vectors, as an alternative to enumeration. An improved variant has been used in the past few years by Kashiwabara et al. to solve...
One Sketch For All:Theory and Application of Conditional Random Sampling
One Sketch For All Theory and Application Conditional Random Sampling
2015/8/21
Conditional Random Sampling (CRS) was originally proposed for efficiently computing pairwise (l2, l1) distances, in static, large-scale, and sparse data. This study modifies the original CRS and exten...
Optimum allocation in multivariate stratified random sampling: Stochastic matrix optimisation
Multivariate stratified random sampling modified E-model stochastic programming optimum allocation integer programming E-model V -model P-model
2011/6/17
The allocation problem for multivariate stratified random sampling as a problem of
stochastic matrix integer mathematical programming is considered. With these aims
the asymptotic normality of sampl...
Ratio Estimators in Simple Random Sampling when Study Variable is an Attribute
Ratio Estimators Simple Random Sampling
2010/11/9
In this paper we have suggested a family of estimators for the population mean when study variable itself is qualitative in nature. Expressions for the bias and mean square error (MSE) of the suggest...
A Table-Based Random Sampling Simulation for Bioluminescence Tomography
Table-Based Random Bioluminescence Tomography
2009/9/8
As a popular simulation of photon propagation in turbid media, the main problem of Monte Carlo (MC) method is its cumbersome computation. In this work a table-based random sampling simulation (TBRS) i...