| 000 | 01595 a2200373 4500 | ||
|---|---|---|---|
| 001 | 036778260X | ||
| 005 | 20250317100407.0 | ||
| 008 | 250312042021xx eng | ||
| 020 | _a9780367782603 | ||
| 037 |
_bTaylor & Francis _cGBP 47.99 _fBB |
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| 040 | _a01 | ||
| 041 | _aeng | ||
| 072 | 7 |
_aPBF _2thema |
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_aMAT000000 _2bisac |
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| 072 | 7 |
_aMAT002000 _2bisac |
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| 072 | 7 |
_aMAT036000 _2bisac |
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| 072 | 7 |
_aSCI086000 _2bisac |
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| 072 | 7 |
_a512.9434 _2bisac |
|
| 100 | 1 | _aHanjo Taubig | |
| 245 | 1 | 0 | _aMatrix Inequalities for Iterative Systems |
| 250 | _a1 | ||
| 260 |
_bCRC Press _c20210331 |
||
| 300 | _a218 p | ||
| 520 | _bThe book reviews inequalities for weighted entry sums of matrix powers. Applications range from mathematics and CS to pure sciences. It unifies and generalizes several results for products and powers of sesquilinear forms derived from powers of Hermitian, positive-semidefinite, as well as nonnegative matrices. It shows that some inequalities are valid only in specific cases. How to translate the Hermitian matrix results into results for alternating powers of general rectangular matrices? Inequalities that compare the powers of the row and column sums to the row and column sums of the matrix powers are refined for nonnegative matrices. Lastly, eigenvalue bounds and derive results for iterated kernels are improved. | ||
| 999 |
_c1882 _d1882 |
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