diagonalization argument
對角線論證法
method of diagonalization
對角線方法
diagonalization technique
對角線技巧
diagonalization proof
對角線證明
diagonalization process
對角線過程
diagonalization strategy
對角線策略
performing diagonalization
執行對角線化
diagonalization algorithm
對角線算法
diagonalization theorem
對角線定理
matrix diagonalizations simplify the computation of matrix powers.
矩陣對角化簡化了矩陣冪的計算。
simultaneous diagonalizations are possible if two matrices commute.
如果兩個矩陣可以交換，則可以同時對角化。
the proofs rely heavily on various abstract diagonalizations.
這些證明大量依賴於各種抽象的對角化。
we must perform numerical diagonalizations to find the eigenvalues.
我們必須進行數值對角化以找到特徵值。
the algorithm performs rapid diagonalizations of large sparse matrices.
該算法對大型稀疏矩陣進行快速對角化。
orthogonal diagonalizations are fundamental in principal component analysis.
正交對角化在主成分分析中是基礎性的。
block diagonalizations effectively reduce the complexity of the system.
塊對角化有效地降低了系統的複雜性。
hermitian diagonalizations ensure that all eigenvalues are real numbers.
hermitian 對角化確保所有特徵值都是實數。
these theorems establish the necessary conditions for diagonalizations.
這些定理確立了對角化的必要條件。
cantor's diagonalizations proved that real numbers are uncountable.
cantor 的對角化證明了實數是不可數的。
effective diagonalizations require the matrix to have distinct eigenvectors.
有效的對角化需要矩陣具有不同的特徵向量。
diagonalization argument
對角線論證法
method of diagonalization
對角線方法
diagonalization technique
對角線技巧
diagonalization proof
對角線證明
diagonalization process
對角線過程
diagonalization strategy
對角線策略
performing diagonalization
執行對角線化
diagonalization algorithm
對角線算法
diagonalization theorem
對角線定理
matrix diagonalizations simplify the computation of matrix powers.
矩陣對角化簡化了矩陣冪的計算。
simultaneous diagonalizations are possible if two matrices commute.
如果兩個矩陣可以交換，則可以同時對角化。
the proofs rely heavily on various abstract diagonalizations.
這些證明大量依賴於各種抽象的對角化。
we must perform numerical diagonalizations to find the eigenvalues.
我們必須進行數值對角化以找到特徵值。
the algorithm performs rapid diagonalizations of large sparse matrices.
該算法對大型稀疏矩陣進行快速對角化。
orthogonal diagonalizations are fundamental in principal component analysis.
正交對角化在主成分分析中是基礎性的。
block diagonalizations effectively reduce the complexity of the system.
塊對角化有效地降低了系統的複雜性。
hermitian diagonalizations ensure that all eigenvalues are real numbers.
hermitian 對角化確保所有特徵值都是實數。
these theorems establish the necessary conditions for diagonalizations.
這些定理確立了對角化的必要條件。
cantor's diagonalizations proved that real numbers are uncountable.
cantor 的對角化證明了實數是不可數的。
effective diagonalizations require the matrix to have distinct eigenvectors.
有效的對角化需要矩陣具有不同的特徵向量。
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