quasi-monte carlo 中文意思是什麼

quasi-monte carlo 解釋
擬蒙特卡羅法
  • quasi : adv 1 在某一意義上，有點，幾乎。2 恰如，宛如，就像是。3 就是說，即〈略作 q 或 qu 尤用以作語源上的...
  • monte : n. （一種西班牙式）紙牌戲。 three-card monte （起源於墨西哥的）三張牌戲。n. 蒙提〈男子名, Montague 的昵稱〉。
  • carlo : 卡爾羅
  1. Because the random numbers generators are the key of monte carlo methods and quasi - monte carlo methods. chapter 2 describes the pseudo - random number generators and quasi - random number generators

    因為隨機數發生器是蒙特卡羅和擬蒙特卡羅方法的核心之一，所以第2章介紹了偽隨機數和擬隨機數發生器。
  2. The standard rejection sampling method which is introduced in chapter 2 is closely related to the problem of quasi - monte carlo integration of characteristic functions, whose accuracy may be lost due to the discontinuity of the characteristic functions

    第2章介紹的標準拒絕抽樣方法其實跟特徵函數的蒙特卡羅積分有密切的關系。而由於特徵函數的不連續性，蒙特卡羅積分應有的誤差精度就達不到，拒絕抽樣的效果也就受到影響。
  3. Inclusion of our special adaptive multiple ray sampler code to enhance rendering speed on scenes that use multiple “ blurry ” rendering effects like blurry tracing, area shadows or quasi monte carlo global illumination

    整合了我們特殊的自適應多重光線采樣代碼，對于那些使用了多重模糊渲染效果* *的場景（比如模糊追蹤* * 、區域陰影、半蒙特卡洛全局光照等） ，可以提高渲染的速度。
  4. We use genetic programming to optimize the the right hand functions of the ordinary differential equations. adaptive quasi - monte carlo optimization methods are used to optimize the coefficients of the functions

    我們用遺傳程序設計方法優化常微分方程右端的函數，用自適應擬蒙特卡羅優化方法優化函數中的系數。
  5. Chapter 1 and 2 are the basic knowledge to use monte carlo and quasi - monte carlo methods. chapter 1 presents the error bounds of monte carlo and quasi - monte carlo integration methods

    第1章和第2章是關于蒙特卡羅和擬蒙特卡羅方法的預備知識。
  6. 1 have studied a couple of topics on monte carlo and quasi - monte carlo methods. this dissertation covers its applications in integration, optimization and simulation

    此論文主要闡述蒙特卡羅和擬蒙特卡羅方法在積分、優化和模擬方面的應用的若干主題。
  7. In this paper, we use computer to generate pseudo random number and low - discrepancy sequences. on this foundation, monte carlo integration and quasi - monte carlo integration are researched

    摘要在本文中，我們利用計算機分別產生了偽隨機數序列和低差異數序列。在此基礎上，我們研究了蒙特卡羅積分與擬蒙特卡羅積分。
  8. By comparing these two methods, we show the advantages of quasi - monte carlo method. we also introduce the standard monte carlo random search for optimization. the last but not least application is metropolis algorithms which is the origin of monte carlo method

    第1章介紹了蒙特卡羅和擬蒙特卡羅積分的誤差估計並闡述了擬蒙特卡羅方法的優勢，同時介紹了擬蒙特卡羅的標準優化方法，最後介紹了蒙特卡羅方法的起源? metropolis模擬方法。
  9. We apply the b - spline smoothed rejection sampling method to importance sampling. numerical experiments show that the error size o ( n - 1 ) is regained by using the b - spline smoothed rejection method for quasi - monte carlo estimate. the error bound of monte carlo method using b - spline smoothed importance sampling is also better than that of the standard monte carlo method

    將b樣條光滑拒絕方法用於重要抽樣估計，數值例子顯示擬蒙特卡羅積分的精度重新達到了o （ n ~ （ - 1 ） ）的階，而對于蒙特卡羅積分，採用b樣條光滑重要抽樣，其精度也比標準積分的精度o （ n ~ （ - 2 / 1 ） ）好。
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