中英
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partition algorithm中文是什么意思
- 中文翻譯
- 造句
- 分塊算法
- 劃分算法
- partition n. 1.分割；分開；被分開；區(qū)分，劃分，配分。 2.區(qū) ...
- algorithm n. 【數(shù)學】算法；規(guī)則系統(tǒng)；演段。
- partition n. 1.分割；分開；被分開；區(qū)分，劃分，配分。 2.區(qū)分線，區(qū)分物，隔開物；隔板，隔墻。 3.部分；隔開部分；隔開的房間。 4.【植物；植物學】隔膜；【法律】分財產(chǎn)；【邏輯學】(把一個類別)分成部分。 a partition line 縫合線。 a partition wall 公墻，共有壁。 vt. 1.把…分成部分，分割，區(qū)分，瓜分(土地等)。 2.(用隔板等)隔開 (off)。 partition a house into rooms 把房屋隔成若干房間。 partition off part of a room 隔出房間的一部分。
- the algorithm 算法
- accordion partition 折疊隔板; 折隔屏; 折隔扇; 摺隔屏
- active partition 活動分區(qū)
- adaptive partition 自適應(yīng)劃分
- additive partition 附加分區(qū); 加性分拆
- adiabatic partition 絕熱隔膜
- admissible partition 容許分割
- air partition 隔風墻
- aluminum partition 鋁板隔墻
- attenuating partition 衰減隔片
- automatic partition 隔自動插入裝置
- balcony partition 陽臺隔墻
- basilar partition 基底隔膜
- batch partition 批量處理分區(qū); 批量劃分; 整批分區(qū)
- battened partition 板條隔斷; 板條間壁; 薄板隔墻
- bboot partition 自引導程序分區(qū)，開機磁區(qū)
- bearing partition 承重壁; 承重隔墻; 承重墻
- block partition 砌塊隔墻
- blocking partition 分塊
- boarded partition 木板壁
- boot partition 啟動文件
- box partition 紙箱間層用紙板
- In chapter 2 , on the basis of reference to classical static priority scheduling theory for hard real - time systems , we proposed a delay computation method with partition algorithm
第二章在借鑒強實時系統(tǒng)靜態(tài)優(yōu)先級調(diào)度理論的基礎(chǔ)上，提出一種通過引入分區(qū)算法來計算atm交換延遲的方法。 - Partition - compatible data types have the property that two variables , one of each type , with the same value , are mapped to the same partition number by the same partitioning algorithm
分區(qū)兼容的數(shù)據(jù)類型具有如下屬性：具有相同值但有不同類型的兩個變量會按相同的分區(qū)算法映射至同一個分區(qū)號。 - We suggest the partition algorithms and the reduction algorithms by means of the thoughts of reducing the context scale . by the notions of the formal context base , we implement the algorithms and prove the
本文的目的也就是通過分析概念格的數(shù)學模型、性質(zhì),對形式背景進行系統(tǒng)的分析探討,為概念格的同構(gòu)構(gòu)造提供理論基礎(chǔ),從而進一步將概念格應(yīng)用于數(shù)據(jù)挖掘。 - We have studied how to distill a connection matrix between two nodes in a generalized switched network ; using tarjan ’ s graph partition algorithm and nonseparable two - terminal graph concept , we proposed an effective algorithm
對從廣義開關(guān)網(wǎng)絡(luò)中提取出兩點間連接矩陣的方法進行了研究,利用tarjan的拓撲圖塊劃分算法、開關(guān)網(wǎng)絡(luò)中的不可分二端圖概念等設(shè)計了較有效的算法。 - Based on the domain decomposition of parallel computing in fluid dynamics , this thesis is dedicated to the research of automatic partitioning algorithm on unstructured meshes , covering computing theories and their practical application
本文從計算流體力學并行計算的區(qū)域分解方法的背景出發(fā)，研究了非結(jié)構(gòu)網(wǎng)格的自動分區(qū)算法，從算法的理論到具體的應(yīng)用作了較為深入的研究。 - By analysis the instance of complete - point and bi - partition point , the thesis presents two merge rules to improve the partition algorithm given by c . j . tseng . the experiments show the pedition results improved notably by using the revised algorithm
文中通過分析完全點和二分點的情況，提出了兩個合并準則，對于c . j . tseng提出的、目前使用廣泛的基團剖分算法進行了改進。 - With the booming of the requirement of network management , network intrusion detection arid qos , a new fast scalable multi - dimension packet classification algorithms , based on pcbnp , rfc and regional partition algorithm , is given in this paper
該算法通過壓縮、分割和索引操作，設(shè)計了壓縮分割規(guī)則表和索引列表結(jié)構(gòu)表這兩類數(shù)據(jù)存儲結(jié)構(gòu)，能支持上萬條多維分類規(guī)則，分類速度快、存儲空間小、支持快速更新。 - One of the main problems in pdes is how to partition the network simulation workload to decrease the time needed to complete the simulation and improve performance of simulation . here a new optimized partition algorithm was put forward , which first analyses the performance factors of parallel simulation and then constructs a performance estimation model for partition ; based on this model , it mends the graph partition algorithm to consider all factors , including simulation applications and simulation environments . optimized factors are workload balance 、 communication cost and time window of lookhead
鑒于基于傳統(tǒng)圖劃分算法的任務(wù)劃分工具存在諸多不足,本文提出了并行網(wǎng)絡(luò)模擬任務(wù)的優(yōu)化劃分方法,其思想是:首先從pdes機制出發(fā),分析影響并行網(wǎng)絡(luò)模擬性能的各種因素并建立一個能夠綜合考慮各種因素的并行網(wǎng)絡(luò)模擬性能估計模型;其次,改進多級圖劃分算法,使得算法具有綜合考慮模擬應(yīng)用與模擬運行環(huán)境,同時在優(yōu)化過程中使用性能估計模型指導劃分,實現(xiàn)對影響并行網(wǎng)絡(luò)模擬性能的三個因素(包括負載均衡、通信開銷、安全時間窗口長度)的優(yōu)化能力;最后,結(jié)合并行網(wǎng)絡(luò)模擬性能估計模型與改進的多極圖劃分算法,實現(xiàn)了并行網(wǎng)絡(luò)模擬任務(wù)的優(yōu)化劃分。 - In this dissertation , the research trends for the problem have been introduced ; the ‘ dim ’ and ‘ point ’ has been strictly defined in mathematics from machine vision and human vision ; the ideal clutter suppression system based on clutter predication and the realization and evaluation of evaluation index has been studied , in succession the clutter suppression technologies have been researched . firstly , the classic nonparametric algorithm has been analyzed in detail and systematically , for it ’ s weakness that it cannot remove the non - stationary clutter ideally , kalman filter algorithm for clutter suppression in 2d image signal has been built . secondly , fast adaptive kalman filter is presented based on fast wide - sense stationary areas partition algorithm : limited combination and division algorithm based on quarti - tree algorithm , new taxis filter route algorithm which can break through the limitation of the necessity of pixel neighborhood of 2d filter and laplace data model with two parameters which is perfectly suitable for the residual image of kalman clutter suppression
首先分析了經(jīng)典的非參數(shù)法,對于四種具有代表性的核,從前述的三個性能評價方面做了分析和對比,指出了其速度快的優(yōu)點和對非平穩(wěn)圖像適應(yīng)性差的弱點,針對非參數(shù)法的弱點,重點研究了對非平穩(wěn)圖像適應(yīng)良好的卡爾曼雜波抑制技術(shù):建立了非平穩(wěn)圖像的類自回歸模型,在此基礎(chǔ)上建立了二維卡爾曼濾波基礎(chǔ)的兩個方程:狀態(tài)方程和測量方程;建立了非平穩(wěn)圖像準平穩(wěn)區(qū)域快速劃分算法:基于四叉樹法的有限分裂合并算法;二維空間的基于k排序的濾波路線算法,突破了空域濾波路線上區(qū)域相鄰的限制;在這些研究的基礎(chǔ)上實現(xiàn)了快速卡爾曼估計,實驗驗證了該方法相對逐點卡爾曼估計可以提高運算速度三倍左右;雜波抑制結(jié)果表明傳統(tǒng)的高斯性檢驗并不適合卡爾曼估計后的殘余圖像,由此建立了殘余圖像的雙參數(shù)拉普拉斯模型,實驗表明其可以完好的吻合殘余圖像的概率密度曲線。 - The training method is very important to hmm based approaches , a new model training method based on genetic algorithm is also discussed at the end . and in chapter 5 , a fuzzy rule based recognition method is proposed . it is heavily rely on a new feature space partition algorithm , in which a modified fuzzy clustering method is used
首先，研究了一種基于模糊聚類的特征空間劃分方法以及一種隸屬度函數(shù)的優(yōu)化算法；然后討論了一種新的模糊規(guī)則提取算法，用于提取合理的分類規(guī)則；為了有效地構(gòu)造基于模糊規(guī)則的分類器，引入了一種網(wǎng)絡(luò)模型，使用該網(wǎng)絡(luò)可以有效地實現(xiàn)一個模糊規(guī)則系統(tǒng)；在此基礎(chǔ)上，構(gòu)造了具有實用價值的識別系統(tǒng)。
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