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Chinese translation for "matrix transpose"

矩阵转置

Related Translations:
transpose of matrix:  倒置矩阵;转置矩阵矩阵转置
element matrix:  单元矩阵
behavioural matrix:  行为矩阵
strain matrix:  应变矩阵
rock matrix:  岩石基体
organic matrix:  有机基体
scrambling matrix:  密码矩阵
admittance matrix:  导纳矩阵
loxodromic matrix:  斜驶矩阵
difference matrix:  差分矩阵
Example Sentences:
1.Returns the matrix transpose of a given matrix
返回一个给定矩阵的转置矩阵。
2.Matrix object that is the matrix transpose of the matrix
对象,该对象是此矩阵的转置矩阵。
3.The results indicate that the serial and parallel optimization for fft , phase compensation and matrix transpose has the most significance for sar imaging performance
分析结果认为,对sar成像处理的优化,主要是对fft 、相位补偿运算和矩阵转角运算等3类典型运算的串行优化和并行优化。
4.The fast dct algorithm not only can reduce the multiplication number , but also can combine the post - scaling and matrix transpose needed for fast dct with the quantization and scan processes , so as to speed up the whole mpeg encoder . in addition , the table - lookup fast quantization algorithm can further speed up the encoding process
本章提出的快速dct算法不仅减少了所需乘法的次数,而且变换后的后置乘法和矩阵转置过程可与量化和扫描相结合,进一步加速浙江大学博士学位论文整个mpeg编码过程。
5.Also , the relactions between the best block size for matrix transpose and the size and associativity of the processor ' s cache is formulized . for parallel optimization , several programming models available on a numa system , such as lightweight processes ( sproc ) , posix threads , openmp and mpi , are compared , and their speedup and coding complexity are analyzed
对于sar成像处理的并行优化,本文对比了在numa架构上可用的几种并行编程模型:轻量级进程、 posix线程、 openmp和mpi ,针对numa架构和sar成像处理的特点从加速比、编程复杂度等多个方面进行了讨论。
6.Chapter 2 analyzes parallel process technology ' s actuality , the requirement of real - time process , and mostly guidelines of parallel process performance . chapter 3 discusses imaging algorithm - - - - - - chirp scaling algorithm theory as well as realization of ideal point target ; and then discuss the scalar of data and operation . chapter 4 discuss the fft and distributed matrix transposing , mostly about ( 1 ) discussed how to realize parallel fft , and evaluate the preformance of parallel fft ; ( 2 ) discuss another step ' s - - - - - - matrix transposing - - - - - - realization can divided into three steps : distributing , renewedly distributing and local transposing of matrix , and then discuss the time of process in detail
第四章分别研究了cs算法中的fft变换和分布式矩阵的转置问题,主要有: ( 1 )对cs算法中运算量最大的步骤fft变换进行了并行性的提取,并对并行fft变换的算法性能进行了评估; ( 2 )分析并研究了cs算法中另一不可或缺的步骤? ?矩阵转置问题,提出矩阵分布、重新分布和局部转置来实现矩阵转置的并行化,并详细分析了矩阵转置的时间耗费问题。
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