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Lay D.C. — Linear Algebra And Its Applications
Lay D.C. — Linear Algebra And Its Applications



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Название: Linear Algebra And Its Applications

Автор: Lay D.C.

Язык: en

Рубрика: Математика/

Статус предметного указателя: Готов указатель с номерами страниц

ed2k: ed2k stats

Год издания: 1994

Количество страниц: 503

Добавлена в каталог: 07.06.2008

Операции: Положить на полку | Скопировать ссылку для форума | Скопировать ID
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Предметный указатель
Matrix (matrices), lower triangular      127 128
Matrix (matrices), migration      88 260 286
Matrix (matrices), multiplication of      99 122
Matrix (matrices), null space, of      200
Matrix (matrices), orthogonal      346 405
Matrix (matrices), orthogonal projection      see “Projection matrix”
Matrix (matrices), orthogonally diagonalizable      406
Matrix (matrices), orthonormal      346
Matrix (matrices), partitioned      121
Matrix (matrices), Pauli spin      158
Matrix (matrices), positive definite      417
Matrix (matrices), positive semidefinite      417
Matrix (matrices), product of      99
Matrix (matrices), rank of      238
Matrix (matrices), reduced echelon      13
Matrix (matrices), regular stochastic matrix      264
Matrix (matrices), right-multiplication      176
Matrix (matrices), row reduced      14
Matrix (matrices), row space of      235
Matrix (matrices), scalar multiple of      97 122
Matrix (matrices), similar      284
Matrix (matrices), singular values of      428
Matrix (matrices), size of      5
Matrix (matrices), standard      80
Matrix (matrices), stiffness      109
Matrix (matrices), stochastic      259 268 273 320
Matrix (matrices), strictly diagonally dominant      141
Matrix (matrices), submatrix of      270
Matrix (matrices), sum of      97 122
Matrix (matrices), symmetric      328 405 417 421
Matrix (matrices), trace of      303 438
Matrix (matrices), transpose of      104
Matrix (matrices), triangular      13 165
Matrix (matrices), Vandermonde      158 187 330
Matrix equation(s)      38 49 54
Matrix factorization(s)      128
Matrix factorization(s) in electrical engineering      132
Matrix factorization(s) polar decomposition      445
Matrix factorization(s) rank      135
Matrix factorization(s) rank-revealing      445
Matrix factorization(s), Cholesky      417 445
Matrix factorization(s), complex eigenvalue      309
Matrix factorization(s), diagonal      289 300
Matrix factorization(s), LU      128
Matrix factorization(s), modified QR      366
Matrix factorization(s), orthogonal diagonalization      406
Matrix factorization(s), permuted LU      132
Matrix factorization(s), QR      135
Matrix factorization(s), reduced LU      135
Matrix factorization(s), Schur      402
Matrix factorization(s), similarity      301
Matrix factorization(s), singular value decomposition      135 426 430
Matrix factorization(s), spectral      135
Matrix for T relative to bases      297 298
Matrix inversion      113—114
Matrix multiplication      71; see also “Composition of linear transformations”
Matrix multiplication, definition of      99
Matrix multiplication, properties of      102
Matrix notation      see “Back-substitution”
Matrix of coefficients      see “Coefficient matrix”
Matrix of observations      436
Matrix transformation      72 80
Matrix-vector product      48
Matrix-vector product, properties of      52
Mean square error      399
Mean-deviation form      378
Migration matrix      88 260 286
Minimal realization      134
Minimum length solution      445
Modified QR factorization      366
Molecular modeling      152
Moore — Penrose inverse      433
Muir, Thomas      161
Multichannel (multispectral)image      403 439
Multiple regression      380
Multiplicative property of det      172 284
Multiplicity      283
Multivariate data      438
National Geodetic Survey      331
Negative (of a vector)      191
Negative definite quadratic form      416
Negative flow, in a network branch      27
Negative semidefinite form      416
Network, branch currents      31—32
Network, branches      25
Network, flow      25
Network, junctions (nodes)      25
Noise, random      257
Nonhomogeneous linear difference equation      251 254
Nonhomogeneous system      59
Nonlinear dynamical system, n Nontrivial solution      58 65
Nonzero column      13
Nonzero row      13
Nonzero singular number, smallest      433
Norm of a vector      334 386;
Normal equations      332 368
Normal equations, ill-conditioned      371
Normalized vectors      345
Normalizing a vector      335
North American Datum (NAD)      331
nth-order Fourier approximation      398
Null space (of a matrix)      200; see also “Fundamental subspaces” “Kernel”
Null space (of a matrix) contrast with column space      204 206
Null space (of a matrix) explicit description      202
Null space (of a matrix) implicit description      202
Null space (of a matrix), basis for      214
Null space (of a matrix), dimension of      233 238
Observation vector      376 436
Observed y-value      376
Ohm's law      27 133
Ohms      27
Oil exploration      2
One-to-one linear transformation      83 85 218 223;
One-to-one mapping      82—83
Onto mapping, Si      83 5
Orbit of a comet      382
Ordered basis      220
Ordered n-tuples      41
Ordered pairs (of real numbers)      38
Orthogonal basis      343 407
Orthogonal basis, Gram — Schmidt process      359
Orthogonal complement      338
Orthogonal decomposition      353
Orthogonal distances, sum of, squares of      444
Orthogonal eigenvectors      406
Orthogonal matrix      346 405
Orthogonal polynomials      388
Orthogonal projection      352
Orthogonal projection, geometric interpretation      348 354
Orthogonal projection, matrix for      357
Orthogonal projection, onto a subspace      353
Orthogonal projection, onto Span {u}      347
Orthogonal projection, properties of      355
Orthogonal projection, sum of      349
Orthogonal regression      444
Orthogonal set      342
Orthogonal vectors      338 386
Orthogonal'Decomposition Theorem      353 387
Orthogonality      338
Orthogonally diagonalizable matrix      406
Orthonormal, basis      344 357 362
Orthonormal, columns      345
Orthonormal, matrix      346
Orthonormal, rows      346
Orthonormal, set      344
Outer product      106 123
Overdetermined linear system      24
Parallel line(s)      57—58 60
Parallel processing      2 105
Parallel solution sets      6
Parallelogram law, for vectors      341
Parallelogram rule for addition      40
Parallelograms of equal area      180
Parameter vector      376
Parametric, descriptions      20
Parametric, equation of line      57
Parametric, equation of plane      59
Parametric, vector form      59 61
Partial pivoting      18
Partitioned matrix      121
Partitioned matrix, inverse of      124
Pauli spin matrices      158
Permuted lower triangular matrix      131
Permuted LU factorization      132
Perpendicularity      see “Orthogonality”
Perspective projection      154
Phase, backward      18 129
Phase, forward      18
Pivot(s)      15—16 281
Pivot(s), column(s)      14 17 22 24 215 A-1
Pivot(s), position(s)      14
Plane      59
Plane, implicit description of      59
Plane, parametric equation of      59
Plane, spanned by two vectors      43
Plane, translated      63
Point masses      47
Polar coordinates      A-6
Polar decomposition      445
Polynomial(s), characteristic      283 286
Polynomial(s), degree of      193
Polynomial(s), Hermite      234
Polynomial(s), interpolating      35 158
Polynomial(s), Laguerre      234
Polynomial(s), Legendre      393
Polynomial(s), orthogonal      388
Polynomial(s), trigometric      397
Polynomial(s), zero      193
Population dynamics      271
Population movement      87—90
Position vector      56
Positive definite matrix      417
Positive definite quadratic form      416
Positive semidefinite matrix      417
Power method      321
Powers of a matrix      104
Predator-prey system      311
Predicted y-value      376
Price equation      148
Price vector      148
Principal axes      414
Principal Axes Theorem      414
Principal component analysis      404 436 439
Principal component(s)      439
Principal component(s), first      439
Principal component(s), second      439
Probability vector      259 268
Process control data      436
PRODUCT      see also “Column-row expansion of AB” “Inner
Product of complex numbers      A-7
Product of elementary matrices      117
Product of matrices      99
Product of matrix inverses      111
Product of matrix transposes      105
Product, dot      333
Product, matrix-vector      48
Product, outer      106 123
Product, scalar      106
Production equation      144
Production vector      143
Projection matrix      409 410;
Projection transformation      158
Properties of $\mathbb{R}^n$      41
Properties of Determinants Theorem      282
Properties, determinants      168 282
Properties, matrix addition      98
Properties, matrix inversion      110
Properties, matrix multiplication      102
Properties, matrix-vector product Ax      52
Properties, orthogonal projections      355
Properties, transpose      104
Pseudoinverse (Moore — Penrose, inverse)      433 445
Public work schedules budget constraint      424
Public work schedules feasible set      424
Public work schedules indifference curve      424
Public work schedules utility      424
Pure imaginary numbers      A-5
Pythagorean Theorem      389
QR algorithm      286 287
QR factorization      135 363 365 371
QR Factorization Theorem      363
QR factorization, modified      366
Quadratic form(s)      441
Quadratic form(s), indefinite      416
Quadratic form(s), negative definite      416
Quadratic form(s), positive definite      416
Quadratic Forms and Eigenvalues Theorem      416
Quadratic trend      395
Range (of a transformation)      72 203 207
Rank      235 238—241; “Outer “Spectral
Rank in control systems      270
Rank theorem      238
Rank, effective      241 429
Rank, estimation      429
Rank, factorization      135
Rank, full      242
Rank, Invertible Matrix Theorem      240
Rank, properties of      269
Rank-revealing factorization      445
Rayleigh quotient      328
Real axis      A-5
Real numbers      2
Real numbers, ordered pairs of      38
Real part, complex number      A-3
Real part, complex vector      306
Real vector space      191
Rectangular coordinate system      38
Recurrence relations      see “Difference equations”
Recursion relation      253
Reduced echelon form      13 21 203 237
Reduced echelon form, unique      14
Reduced LU factorisation      135
Reduced singular value, decomposition      433
Reflection      84
Reflection, Householder      158
Regression coefficients      376
Regular stochastic matrix      264
Renter of projection      154
Residual vector      378
Resistance      27
Right distributive law      102
Right singular vectors      430 442
Right-multiplication      176
RLC circuit      218
Rotation due to a complex eigenvalue      308—309
Rotation transformation      76 81 93 151 156
Row echelon form      13; see also “Matrix (matrices)”
Row equivalent matrices      7 19 44
Row Operations Theorem      368
Row operations, elementary      7
Row operations, replacement      7 173
Row operations, reversible      7
Row operations, scaling      7 173
Row reduced      14
Row reduction      22 47 111
Row reduction algorithm      13 16
Row reduction algorithm, backward phase      18 129
Row reduction algorithm, forward phase      18
Row space (of a matrix)      235; see also “Fundamental subspaces”
Row space (of a matrix), basis for      236
1 2 3 4
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