Preface |
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ix | |
Conventions and Notations |
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xiv | |
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1 An Introduction To Maple™ |
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1 | (14) |
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2 | (9) |
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11 | (4) |
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2 Linear Systems of Equations and Matrices |
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15 | (36) |
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2.1 Linear Systems of Equations |
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15 | (13) |
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2.2 Augmented Matrix of a Linear System and Row Operations |
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28 | (11) |
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2.3 Some Matrix Arithmetic |
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39 | (12) |
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3 Gauss-Jordan Elimination and Reduced Row Echelon Form |
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51 | (38) |
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3.1 Gauss-Jordan Elimination and rref |
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51 | (14) |
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65 | (9) |
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3.3 Sensitivity of Solutions to Error in the Linear System |
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74 | (15) |
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4 Applications of Linear Systems and Matrices |
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89 | (40) |
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4.1 Applications of Linear Systems to Geometry |
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89 | (10) |
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4.2 Applications of Linear Systems to Curve Fitting |
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99 | (8) |
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4.3 Applications of Linear Systems to Economics |
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107 | (5) |
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4.4 Applications of Matrix Multiplication to Geometry |
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112 | (8) |
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4.5 An Application of Matrix Multiplication to Economics |
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120 | (9) |
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5 Determinants, Inverses, and Cramer's Rule |
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129 | (66) |
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5.1 Determinants and Inverses from the Adjoint Formula |
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129 | (18) |
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5.2 Determinants by Expanding Along Any Row or Column |
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147 | (12) |
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5.3 Determinants Found by Triangularizing Matrices |
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159 | (12) |
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171 | (8) |
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179 | (5) |
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184 | (11) |
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6 Basic Linear Algebra Topics |
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195 | (50) |
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195 | (15) |
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210 | (13) |
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223 | (9) |
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232 | (13) |
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7 A Few Advanced Linear Algebra Topics |
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245 | (26) |
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245 | (10) |
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7.2 "Rolling" a Circle Along a Curve |
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255 | (10) |
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265 | (6) |
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8 Independence, Basis, and Dimension for Subspaces of Rn |
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271 | (62) |
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271 | (18) |
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8.2 Independent and Dependent Sets of Vectors in Rn |
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289 | (13) |
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8.3 Basis and Dimension for Subspaces of Rn |
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302 | (9) |
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8.4 Vector Projection onto a Subspace of Rn |
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311 | (11) |
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8.5 The Gram-Schmidt Orthonormalization Process |
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322 | (11) |
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9 Linear Maps from Rn to Rm |
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333 | (42) |
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9.1 Basics About Linear Maps |
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333 | (12) |
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9.2 The Kernel and Image Subspaces of a Linear Map |
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345 | (9) |
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9.3 Composites of Two Linear Maps and Inverses |
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354 | (7) |
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9.4 Change of Bases for the Matrix Representation of a Linear Map |
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361 | (14) |
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10 The Geometry of Linear and Affine Maps |
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375 | (60) |
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10.1 The Effect of a Linear Map on Area and Arclength in Two Dimensions |
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375 | (18) |
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10.2 The Decomposition of Linear Maps into Rotations, Reflections, and Rescalings in R2 |
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393 | (8) |
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10.3 The Effect of Linear Maps on Volume, Area, and Arclength in R3 |
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401 | (11) |
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10.4 Rotations, Reflections, and Rescalings in Three Dimensions |
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412 | (11) |
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423 | (12) |
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11 Least-Squares Fits and Pseudoinverses |
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435 | (38) |
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11.1 Pseudoinverse to a Nonsquare Matrix and Almost Solving an Overdetermined Linear System |
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435 | (11) |
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11.2 Fits and Pseudoinverses |
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446 | (16) |
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11.3 Least-Squares Fits and Pseudoinverses |
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462 | (11) |
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12 Eigenvalues and Eigenvectors |
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473 | (116) |
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12.1 What Are Eigenvalues and Eigenvectors, and Why Do We Need Them? |
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473 | (15) |
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12.2 Summary of Definitions and Methods for Computing Eigenvalues and Eigenvectors as well as the Exponential of a Matrix |
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488 | (4) |
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12.3 Applications of the Diagonalizability of Square Matrices |
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492 | (17) |
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12.4 Solving a Square First-Order Linear System of Differential Equations |
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509 | (42) |
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12.5 Basic Facts About Eigenvalues, Eigenvectors, and Diagonalizability |
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551 | (14) |
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12.6 The Geometry of the Ellipse Using Eigenvalues and Eigenvectors |
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565 | (20) |
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12.7 A Maple Eigen-Procedure |
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585 | (4) |
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589 | (2) |
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591 | |
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591 | (4) |
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Index of Maple Commands and Packages |
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595 | |