举一反三
- What is the relationship between resolution and pixel? A: Because the resolution is higher, the number of pixels per inch is more. B: Because the resolution is lower, the number of pixels per inch is less. C: Because the resolution is lower, pixels are smaller. D: Because the resolution is lower, pixels are greater.
- 14 In triple sequence table of sparse matrix, each triple represents ( ). A: the row number,column number and data value of non-zero elements in the matrix B: the data value of non-zero elements in the matrix C: the row and column numbers of elements in the matrix D: the row number,column number and data value of elements in the matrix
- The number of pixels used to represent a picture is called the______
- Pointless shifts in number are another burden that no one should place on his reader.
- Which of the following statement is false? A: If[img=77x23]1803b6aa763b00a.png[/img], where[img=77x23]1803b6aa7e8aab9.png[/img] and D is a diagonal matrix, then B is a symmetric matrix. B: An orthogonal matrix is orthogonally diagonalizable. C: An[img=44x19]1803b6aa8680eb5.png[/img]symmetric matrix has n real eigenvalues. D: An[img=44x19]1803b6aa8680eb5.png[/img]symmetric matrix hasnlinearly independent eigenvectors.
内容
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Ais an[img=44x19]1803b6a4d11437c.png[/img]matrix. Number c is an eigenvalue of A if and only if (A-cI)x=0 has nontrial solutions.
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The columns of the standard matrix for a linear transformation from [img=22x19]1803b6a8c19a71a.png[/img]to [img=25x19]1803b6a8c9f3863.png[/img] are the images of the columns of the [img=44x19]1803b6a8d3fc1b1.png[/img] indentity matrix.
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（）the students in our school （）over two thousand. A: The number of, is B: The number of, are C: A number of, is
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There _____ a great number of students over there. The number of the students ____ five thousand.
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Which of the following statement is false? A: Ais an[img=49x19]1803b6abf33899a.png[/img]matrix.[img=66x23]1803b6abfb9f77f.png[/img]is a QR factorization ofA. The columns ofQform an orthonormal basis for the column space ofA. B: If A=QR, where Q has orthonormal columns, then[img=79x27]1803b6ac036f846.png[/img] C: Ahas a QR factorization, then A must be a square matrix. D: Any matrix can have a QR factorization. E: If a matrix A has a QR factorization, then the ranks of A and Q are the same.