https://www.math.snu.ac.kr/board/files/attach/images/701/ff97c54e6e21a4ae39315f9a12b27314.png
Extra Form
강연자 강혜정
소속 서울대

.

Atachment
첨부 '1'
  1. Vector Calculus 19강: Stokes' Theorem

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

  3. Vector Calculus 17강: Divergence Theorem: Applications

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

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

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

  7. Vector Calculus 13강: Surfaces

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

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

  10. Vector Calculus 10강: Double Integrals

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

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

  13. Vector Calculus 7강: Line Integral

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

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

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

  17. Vector Calculus 3강: Vector Calculus

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

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

  20. Linear Algebra 19강: Marcov Chain

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

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

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

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

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

  26. Linear Algebra 13강: Inner Product Space

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

  28. Linear Algebra 11강: Eigenvalues and Eigenvectors Ⅱ

  29. Linear Algebra 10강: Eigenvalues and Eigenvectors Ⅰ

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

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

  32. Linear Algebra 7강: Determinants

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

  34. Linear Algebra 5강: Rank of a Matrix

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

  36. Linear Algebra 3강: Applications

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

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

  39. [chap 9. 곡선] 15강 : 곡선과 곡률 2

  40. [chap 9. 곡선] 14강 : 곡선과 곡률 1

  41. [chap 9. 곡선] 13강 : 선적분

  42. 29Jul
    by 김수현
    2014/07/29 Views 1328 

    [chap 9. 곡선] 12강 : 호의 길이와 재매개화

  43. [chap 9. 곡선] 11강 : 극좌표계와 영역의 넓이

  44. [chap 9. 곡선] 10강 : 곡선의 길이 4

  45. [chap 9. 곡선] 9강 : 곡선의 길이 3

  46. [chap 9. 곡선] 8강 : 곡선의 길이 2

  47. [chap 9. 곡선] 7강 : 곡선의 길이 1

  48. [chap 9. 곡선] 6강 : 재매개화 2

  49. [chap 9. 곡선] 5강 : 재매개화 1

  50. [chap 9. 곡선] 4강 : 가속도 벡터

Board Pagination Prev 1 2 3 Next
/ 3