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151212s1972#######|||||||||||||||||eng|d |
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|a 0-521-08476-8
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|a AR-CdUBP
|b spa
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| 041 |
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|a eng
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| 100 |
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|a Sawyer, W. W.
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| 245 |
1 |
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|a An engineering approach tom linear algebra /
|c W. W. Sawyer
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| 260 |
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|a Toronto :
|b Macmillan,
|c 1972
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| 300 |
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|a vii, 304 p. ;
|c 22 cm.
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| 505 |
0 |
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|a 1. Mathematics and engineers. 2. Mappings. 3. The nature of the generalization. 4. Symbolic conditions for linearity. 5. Graphical representation. 6. Vectors en a plane. 7. Bases. 8. Calculations in a vector space. 9. Change of axes. 10. Specification of a linear mapping. 11. Transformations. 12. Choice of basis. 13. Complex numbers. 14. Calculations with complex numbers. 15. Complex numbers and trigonometry. 16. Trigonometry and exponentials. 17. Complex numbers and convergence. 18. Complex numbers: terminology. 19. The logic of complex numbers. 20. The algebra of transformations. 21. Subtraction of transformations. 22. Matrix notation. 23. An application of matrix multiplication. 24. An application of linearity. 25. Procedure for finding invariant lines, eigenvectors and eigenvalues. 26. Determinant and inverse. 27. Properties of determinants. 28. Matrices other than square; partitions. 29. Subscript and summation notation. 30. Row and colum vectors. 31. Affine and euclidean geometry. 32. Scalar products. 33. Transpose; quadratic forms. 34. Maximum and minimum principles. 35. Formal laws of matrix algebra. 36. Orthogonal transformations. 37. Finding the simplest expressions for quadratic forms. 38. Principal axes and eigenvectors. 39. Lines, planes and subspaces; vector product. 40. Systems of linear equations. 41. Null space, column space, row space of a matrix. 42. Illustrating the importance of orthogonal matrices. 43. Linear programming. 44. Linear programming, continued.
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| 650 |
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|a ALGEBRA LINEAL
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| 653 |
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|a MATEMATICAS
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| 930 |
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|a MATEMATICAS
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| 931 |
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|a 04644
|b UBP
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|2 cdu
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|a SMM
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| 984 |
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|a 512.64:62
|b Sa97
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| 999 |
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|c 20207
|d 20207
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