擬隨機數 的英文怎麼說

中文拼音 [nǐsuíjīshǔ]
擬隨機數 英文
quasi-random numbers
  • 擬 : 動詞1. （設計; 起草） draw up; draft 2. （打算; 想要） intend; plan 3. （模仿） imitate
  • 隨 : Ⅰ動詞1 （跟; 跟隨） follow 2 （順從） comply with; adapt to 3 （任憑; 由著） let （sb do as he li...
  • 機 : machineengine
  • 數 : 數副詞（屢次） frequently; repeatedly
  • 隨機 : random stochasticrandom
  1. We build a ride comfort testing graphics database regarding real proving ground, which contains the objects, e. g. road surface, river, grassland, house, trees, cordillera and so on

    參照道路試驗場景，建立了模擬隨機道路的包括路面、河流、草地、房屋、樹木、山脈等對象的車輛平順性試驗場圖形數據庫。
  2. By using the yearly data of water - sand that is gotten by a couple of adjacent hydrologic station in yellow river lower reaches, this paper makes use of kinds of math methods looking for the nonlinear disturbance among all of the factors, and introduces the thinking of analysis, logic, conclusion, inference, and random to nonlinear hydrologic forecasting. it realizes the valid approximation of the water level process in erodible - bed channel

    本文選擇黃河下游兩對相鄰水文站多年水沙資料，藉助多種數學方法尋找其中的非線性擾動項，將隨機數學中分析、邏輯、歸納、演繹、隨機的思考問題方式引入到非線性水文預報中，實現沖淤河道相應水位過程的有效擬合。
  3. The first one : fitting together ultimate values of every dimensions in one dimension - chain one by one, educing many equations by itself, calculating results, and comparing these results of close dimension to find maximal and minimal values. the second one : projecting all dimensions on two preestablished axis, then providing the solutions to analyze whether every projected dimensions is increscent or decreasing, and synthesize the effect of every projected dimensions to close dimension, educing many equations by itself, at last calculating the result of close dimension. the third one : according to monte carlo analysis, getting every dimensions " values from every dimensions " tolerances at random time after time, simulating the actual circumstances of mass production using these dimensions, and calculating reasonable results of close dimension economically

    鑒于這類系統在各大中小型企業的廣泛應用與相對滯后的研究水平，本文提出了三種新的能切實地解決目前尺寸鏈計算機輔助分析解算中存在的各種難題的設計方案，第一種方案將尺寸鏈中各組成環能取的極值組合起來，自動列方程組，求解每個組合情況下的封閉環尺寸，最後比較這些結果，得出封閉環的最大最小值；第二種方案將尺寸鏈各組成環向預先設定好的兩個方向投影，之後再分析各尺寸環投影分量的增減性，並且提供了組成環兩個方向上的投影分量增減性不一的復雜情況下的解決辦法，綜合組成環各投影分量的增減性，然後自動列出方程組，最後根據各組成環的投影分量以及所列的方程組來確定尺寸鏈封閉環的尺寸；第三種方案以蒙特卡洛法為原理，在尺寸鏈各組成環的取值范圍內使用計算機產生大量隨機數，模擬實際大批量生產中的零件尺寸分佈情況，以更經濟更合理的方式分析、計算封閉環尺寸。
  4. To simulate the preparation of the secret - key, a gaussian random number generator in fpga is designed, which based on the analysis of ziggurat algorithm

    為了模擬密鑰的制備，在分析ziggurat演算法的基礎上完成了高斯隨機數發生器的fpga實現。
  5. In chapter 7, we combine the monte carlo simulation and optimiza - tion. we first introduce the monte carlo simulation of light transport in tissue, explain how to generate the random num

    首先我們介紹了光在組織中傳播的蒙特仁羅模擬的完整過程，解釋了如何利用第2章中介紹的隨機數生成方法根據實際問題產生隨機數。
  6. Random number generators are used in many areas including computer simulation, monte - carlo techniques on numerical analysis, test problem generation for the performance evaluation of computer algorithms, statistical sampling, and so on

    隨機數發生器在很多領域有廣泛的應用，包括計算機模擬、數值分析上的蒙特卡羅方法、評估演算法的測試問題、統計抽樣等等。
  7. 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。
  8. Noise - the shadow samples are offseted from each other in a pseudo - random way, which artificially soften the borders of the shadows

    噪聲陰影采樣值的間值呈偽隨機數序列，將逼真地模擬陰影的邊界。
  9. Sampling methods for common distributing random numbers and the samples of random fields are proposed. combining the monte - carlo simulation technique with the one - dimensional discretization finite element method, the monte carlo - finite element method for stochastic analysis and the reliability computation of thin - walled box girders are proposed in this thesis

    建立了幾種常用分佈隨機數以及隨機場隨機樣本的產生方法；將蒙特卡羅數值模擬與薄壁箱梁一維離散有限元法相結合，提出了薄壁箱梁隨機分析和可靠度計算的蒙特卡羅有限元法。
  10. Then, we use a simulation method to create a large number of radar measurement values, produce a quantity of random numbers using computer software and add them to the radar measurement values, we use kallman filtering method to calculate the location, velocity and trajectory coefficient of the target at the moment of the final tracking point, and use the numerical solving method of differential equation to calculate the trajectory, the location of the hostile artillery or the impact point of its own projectiles, finally, we calculate statistically the random error of the tracking system and analyze the location accuracy

    然後採用模擬模擬方法獲得大量的雷達測量值，由計算機軟體產生大量的隨機數，加入雷達測量值中，用卡爾曼濾波法計算出最後跟蹤點時刻的目標位置、速度和彈道系數，再用微分方程數值解法計算出整個彈道軌跡、計算出敵方炮位的位置或己方炮彈的落點，最後統計出跟蹤系統的隨機誤差，分析定位精度。
  11. The research paper is based on the the latest softwares of the managing inventory, its research subject is about simulating the most appropriate inventory quantity and ordering quantity by statisticing the probability of the random require quantity. its purpose is to provide the relied basement for determining the most appropriate inventory quantity and ordering quantity, the deterring policy quality will be raised, so the damage caused by unfit inventory quantity and the benefit of the entrerpreneur will be raised. the research method is by building the inventory management information system, the system includes automated management of parts entering and going out the datasbase. requesting the records of parts entering and going out the datasbase and displaying the sygonal when the inventory quantity is short out. computer calculating the fix period remaining, requesting remaining at any time and displaying if goods need ordering, all the partsof certain a product going out of basement and at the same time checking if the storaging quantity is enough. then simulating the most appropriate inventory quantity and ordering quantity simulating method is as follows : statisticing the random required quantity. calculating the probability, standing for the values with data range producing random data by function accordingly calculating the random required quantity. thenext step is simulating all the projects after pressing in the simulating conditions. finally selecting the best

    本文通過分析國內外關于庫存管理軟體的發展情況，提出在線統計貨物出庫情況的基礎上利用模擬方法確定最優存儲方案，其目的是為制定合理的貨物安全庫存量和訂貨量提供可靠的依據，提高企業管理人員的決策質量，從而減小資金的佔用和缺貨損失，提高企業的經濟效益。通過研製庫存管理信息系統使庫存信息管理自動化，也就是實現貨物入出庫管理計算機管理、自動查詢貨物入出庫情況並在缺貨時給予提示、使用計算機貨物余額定期結算、貨物余額實時查詢並顯示是否需要訂貨、裝配出庫管理使得只要輸入需要裝配產品代號和數量，組成它的所有零件就會自動檢庫和出庫。然後對安全庫存量和訂貨量進行模擬，模擬方法是首先自動統計貨物在過去某一段時間內的需求量，計算出概率，用隨機數的范圍表示其概率數值的大小，利用隨機函數產生隨機數、從而間接的產生隨機需求量，給定模擬天數和其他模擬條件模擬各種方案，從眾多的存儲方案中找出最優存儲方案。
  12. When the data of logistics in current process are used for input of simulating logistics in future 100 % continuous casting process, supply of hot metal from iron - making process may not satisfy the needs of 100 % continuous casting on raw materials. because planning scheme in continuous casting process depends greatly on smelting scheme in convertor vessel, it is important for operator to balance raw materials supply, smelting and casting in order to realize the scheme of 100 % continuous casting. when some equipment are work abnormally, mixer of hot metal and lf furnace can be used for logistics buffer

    用攀鋼煉鋼生產數據對模擬軟體系統進行的測試和模擬研究結果表明：模擬系統的隨機數發生演算法可以實現對作業時間的依分佈隨機抽取；在相似的輸入條件下，模擬結果與實際生產物流的時間分佈規律基本吻合，達到了模擬軟體設計的預期目標；若以攀鋼提釩煉鋼廠現工藝的鐵水輸入作為全連鑄后的輸入條件，則現工藝的物料供應能力可能難以滿足全連鑄生產的要求；連鑄機的連澆計劃對轉爐爐次計劃的編制有很高的要求，合理安排來料、煉鋼與澆鑄三者間的物流平衡關系將是保證全連鑄作業的重要條件；當出現設備異常情況時，可以利用混鐵爐與lf爐站前等待作為物流緩沖池，通過延長系統的平均物流時間來緩解因設備檢修和故障等擾動所造成的影響，確保生產的順利進行。
  13. Because of intrinsic randomicity of discrete event system, every operation of simulation is one course of sampling. in addition, the random variables are produced by using the false random number generators, self - dependence is relatively serious. so, the statistical analysis of the simulation result is necessary

    由於離散系統本身固有的隨機性，每一次模擬的運行都是一次采樣過程，加之隨機變量是使用偽隨機數產生的，自相關性較強，因此，還對模擬結果進行了統計分析。
  14. Based on the theories of nonlinear finite element monte - carlo stimulation techniques, mathematical methods for generating uniformly distributed n ( 0, 1 ) random numbers are described. a comprehensive evaluation method for uniformly distributed random number is presented. some good seeds have been selected out that can be used to generate uniformly distributed random sequences with better performance

    本文以非線性有限元理論和蒙特卡洛隨機模擬理論為基礎，描述了均勻分佈的n （ 0 ， 1 ）隨機數產生的數學方法，並編制了計算機程序，對由軟體產生的均勻分佈序列的隨機數性能進行各種檢驗，檢驗成果是良好的，可用於產生各種概率分佈的隨機變量值。
  15. Independence especially applies to monte carlo simulations, where each subjob s random number seed must be very different or exactly the same, depending on the application

    獨立性特別適用於monto carlo模擬。在這種系統中，每一個子作業的隨機數種子都必須截然不同，或是完全相同，這取決于應用程序的情況。
  16. Let s look at some advice that s even better : take a sentence that you can easily remember, such as a famous quotation or a song lyric. use the first letter of each word, preserving case, and use any punctuation

    在標準的隨機數「輪盤」 （帶有許多隨機數生成演算法，包括線形擬合生成器；在0和4 ， 294 ， 967 ， 295之間的所有數字確切地生成一次，然後重復該序列）上只有40億個可能的位置。
  17. 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。
  18. Firstly, the article introduces the theory of system simulation and the stochastic numeral and the stochastic variable

    本文首先介紹了系統模擬理論，以及產生隨機數從而生成需要的隨機變量的方法。
  19. This course features a rigorous introduction to modern cryptography, with an emphasis on the fundamental cryptographic primitives of public - key encryption, digital signatures, pseudo - random number generation, and basic protocols and their computational complexity requirements

    本課程精確地介紹近代密碼學，並重點介紹原始公鑰加密的密碼基礎原理、數字簽名、虛擬隨機數的產生、基本協議及相關的計算復雜度要求。
  20. In the paper, i employ the theory of finite element of steel frames and monte carlo method, describe the production method of the random variable of the average - distribution n ( 0, 1 ) and write program with fortran 90. the random numbers is tested in many ways for its quality ; the result is good. they can produce random with all kinds of probability distribution

    本文以半剛性連接的鋼框架的有限元理論和蒙特卡洛隨機模擬理論為基礎，描述了均勻分佈的n （ 0 ， 1 ）隨機數的產生數學分法，並編制了計算機程序，對由軟體產生的均勻分佈序列的隨機數性能進行各種檢驗，檢驗成果是良好的，可用於產生各種概率分佈的隨機變量。
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