The Geophysical Inverse Method Based on Quantum Monte Carlo

Abstract

Quantum Monte Carlo method (QMC), including variational Monte Carlo (VMC), Green's function Monte Carlo (GFMC), diffusion Monte Carlo (DMC) and path integral Monte Carlo (PIMC), is a stochastic method based on the quantum mechanics. This paper, firstly, gives a brief summarization about the development of quantum Monte Carlo method and expatiates its principles; then does some model tests, which show that the using of quantum Monte Carlo method for geophysical inverse problems is successful, and its algorithm is also acceptable for some other nonlinear optimazation problems; lastly, gives a perspective on the using of quantum Monte Carlo method for geophysical inversion, and points out its shortcomings.

An Investigation on Urban Office Workers' Cognition on Food Safety when Eating Out

“…The functions of the relevant departments and law enforcement should be increased in order to let office workers clearly understand the relevant institutions' function and enhance the credibility of the government [6]. In addition, government departments can also combine comprehensive knowledge of food safety for the workers [3]. Law and morality are two mechanisms to adjust food business operators and food consumers in order to form an orderly, efficient and fair food safety law network, and to create a good social atmosphere for food safety [8].…”

“…Survey Methods. The survey questionnaire was made according to relevant literature which underwent repeatedly modifies and pre-survey modified form [3,5,6,8,9,10,11]. The questionnaire was included the basic information of the office workers, the place of eating out, awareness of food safety before and during eating out and food safety knowledge on eating out.…”