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# Linear Algebra 11강: Eigenvalues and Eigenvectors Ⅱ

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1. ### Vector Calculus 19강: Stokes' Theorem

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2. ### Vector Calculus 18강: Potential theory: The theory of solutions of Laplace’s equation

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3. ### Vector Calculus 17강: Divergence Theorem: Applications

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4. ### Vector Calculus 16강: Triple Integrals. Divergence Theorem of Gauss

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5. ### Vector Calculus 15강: Surface Integrals of Vector Functions

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6. ### Vector Calculus 14강: Surface Integral of Scalar Functions

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7. ### Vector Calculus 13강: Surfaces

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8. ### Vector Calculus 12강: Green's Theorem: Applications

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9. ### Vector Calculus 11강: Green's Theorem in the plane

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10. ### Vector Calculus 10강: Double Integrals

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11. ### Vector Calculus 9강: Exactness and Independence of Path

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12. ### Vector Calculus 8강: Line Integrals Independent of Path

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13. ### Vector Calculus 7강: Line Integral

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14. ### Vector Calculus 6강: Divergence and Curl of a Vector Field

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15. ### Vector Calculus 5강: Gradient of a Scalar Field, Directional Derivative

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16. ### Vector Calculus 4강: Curves. Tangents. Arc length

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17. ### Vector Calculus 3강: Vector Calculus

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18. ### Vector Calculus 2강: Cross Product. Scalar and Vector functions and Fields

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19. ### Vector Calculus 1강: Vector Algebra in Space. Inner Product

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20. ### Linear Algebra 19강: Marcov Chain

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21. ### Linear Algebra 18강: Diagonalization. Principal Axes Theoremdf

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22. ### Linear Algebra 17강: Similarity of Matrices. Basis of Eigenvectors

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23. ### Linear Algebra 16강: Quadratic Form. Hermitian Form

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24. ### Linear Algebra 15강: Special Complex matrices : Hermitian, Skew-Hermitian and Unitary matrices

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25. ### Linear Algebra 14강: Special Real matrices : Symmetric, Skew-symmetric and Orthogonal matrices

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26. ### Linear Algebra 13강: Inner Product Space

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27. ### Linear Algebra 12강: Some Application of Eigenvalue Problems

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28. ### Linear Algebra 11강: Eigenvalues and Eigenvectors Ⅱ

Date2014.09.25 Category공학수학 Views703
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29. ### Linear Algebra 10강: Eigenvalues and Eigenvectors Ⅰ

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30. ### Linear Algebra 9강: Inverse of a matrix. Gauss-Jordan Elimination

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31. ### Linear Algebra 8강: Rank in terms of determinants. Cramer's Rule

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32. ### Linear Algebra 7강: Determinants

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33. ### Linear Algebra 6강: Fundamental Theorem for linear systems

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34. ### Linear Algebra 5강: Rank of a Matrix

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35. ### Linear Algebra 4강: Vector Space. Linear Independence

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36. ### Linear Algebra 3강: Applications

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37. ### Linear Algebra 2강: Linear Systems of Equations. Gauss Elimination

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38. ### Linear Algebra 1강: Basic Concepts and Algebraic operations for Matrices

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39. ### [chap 9. 곡선] 15강 : 곡선과 곡률 2

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40. ### [chap 9. 곡선] 14강 : 곡선과 곡률 1

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41. ### [chap 9. 곡선] 13강 : 선적분

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42. ### [chap 9. 곡선] 12강 : 호의 길이와 재매개화

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43. ### [chap 9. 곡선] 11강 : 극좌표계와 영역의 넓이

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44. ### [chap 9. 곡선] 10강 : 곡선의 길이 4

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45. ### [chap 9. 곡선] 9강 : 곡선의 길이 3

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46. ### [chap 9. 곡선] 8강 : 곡선의 길이 2

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47. ### [chap 9. 곡선] 7강 : 곡선의 길이 1

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48. ### [chap 9. 곡선] 6강 : 재매개화 2

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49. ### [chap 9. 곡선] 5강 : 재매개화 1

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50. ### [chap 9. 곡선] 4강 : 가속도 벡터

Date2014.07.29 Views757
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