matrix multiplications造句
例句與造句
- matrix variation basis of sparse matrix multiplication
矩陣相乘的壓縮存儲算法 - similarly, the order of matrix multiplication is important
同樣,矩陣相乘的順序也是重要的。 - the following illustration shows several examples of matrix multiplication
下圖顯示了矩陣相乘的幾個示例。 - congruent matrix multiplication
相合矩陣乘法 - on the other hand, we study asymptotically fast algorithm for rectangular matrix multiplication
本文還研究了矩陣乘法的漸近快速算法。 - It's difficult to find matrix multiplications in a sentence. 用matrix multiplications造句挺難的
- you can accomplish this by using a matrix multiplication followed by a matrix addition
可通過先使用矩陣乘法再使用矩陣加法來完成此操作。 - the simplification matter of matrix multiplication is settled thoroughly in the way given in the paper
徹底解決了矩陣乘法計算的簡化問題。 - the following matrix multiplication will perform the pair of transformations in the order listed
下面的矩陣乘法將按照列出的順序進行這對變換。 - but, remember that the product of matrix multiplication is dependent on the order of the operands
不過,記住矩陣乘法的結(jié)果是依賴于操作數(shù)的順序的。 - this paper introduces the basic idea and algorithm of sparse matrix multiplication by using incompact storage method
摘要介紹了對稀疏矩陣進行壓縮存儲時,稀疏矩陣相乘運算的基本思想和算法。 - quaternion operations are computationally more efficient than 4 4 matrix multiplications used for transformations and rotations
四元數(shù)運算在計算上比進行轉(zhuǎn)換和旋轉(zhuǎn)所用的44矩陣乘法效率更高。 - gives techniques for improving the speed of matrix multiplication by more than a factor of two on superscalar risc processors
講述在超標量risc處理器上用大于二的因子來提高矩陣相乘的速度的方法。 - for me that matrix multiply this matrix multiplication say that i take one of that column and two of that column and add
對于我來講,那個矩陣乘以這個矩陣表示我取一倍的那個列和兩倍的那個列然后相加。 - since adleman solve the hamilton path problem using dna molecules in 1994, many mathematical problems were solved by dna computing such as matrix multiplication, addition, symbolic determinants
最早的,也是最著名的是1994年science上發(fā)表的美國科學家adleman的七節(jié)點hamilton路徑問題的dna計算解決辦法。 - since adleman solve the hamilton path problem using dna molecules in 1994, many mathematical problems were solved by self-assembly of dna such as matrix multiplication, addition, symbolic determinants
目前己驗證有大量的問題可以通過dna計算來解決,最著名的當然是1994年science上發(fā)表的美國科學家adleman的七節(jié)點hamilton路徑問題的dna計算解決辦法。
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