- 1. °ÀǸñÇ¥:
- ÁýÇշаú
°°ÀÌ ¼öÇÐÀÇ ±âÃÊ°¡ µÇ´Â ¼±Çüº¯È¯, Çà·Ä°ú Çà·Ä½Äµî ¼±Çü´ë¼öÇÐÀÇ
±âº»°³³äµéÀ» ÀÌÇØÇÏ°í
- ±× Àû¿ë¹®Á¦µé¿¡
´ëÇÏ¿© °øºÎÇÑ´Ù.
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- 2. °Àdz»¿ë:
- º¤ÅÍ°ø°£,
±â¿Í Â÷¿ø, ¼±Çüº¯È¯, Çà·ÄÀÇ Â÷¿ø°ú ÁÂÇ¥º¯È¯, ÀÏÂ÷¿¬·Æ¹æÁ¤½ÄÀÇ
Ç®ÀÌ, Çà·Ä½ÄÀÇ Á¤ÀÇ,
- Eigenvector¿Í
Eigenvalues, ´ë°¢ÇüÈ, ³»Àû°ø°£ µîÀÇ ¼±Çü´ë¼öÀÇ ±âº»ÀûÀÎ
ÁÖÁ¦¿¡ ´ëÇÏ¿© °ÀÇÇÑ´Ù.
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- 3. Æò°¡¹æ¹ý:
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: 10Á¡ ·¹®Á¦Ç®ÀÌ ¹× °úÁ¦¹° : 10Á¡ ·
Áß°£°í»ç : 40Á¡ · ±â¸»°í»ç : 40Á¡
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- 4. ±³Àç ¹× Âü°í¹®Çå:
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- ±³ Àç
: Linear Algebra
- Larry
Smith, Springer-Verlag, 1991(2th edtion)
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- Âü°í¹®Çå : 1.
Linear Algebra, Serge Lang
- 2.
Mathematica·Î ¹è¿ì´Â ¼±Çü´ë¼öÇÐ, °æ¹®»ç, 2000
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- 5. ÁÖº°°ÀÇ°èȹ:
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- Á¦
1 ÁÖ : Vector in plane and space
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2 ÁÖ : Vector Spaces
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3 ÁÖ : Subspace
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4 ÁÖ : Linear independence and dependence
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5 ÁÖ : Bases and finite-dimesional and vector spaces
- Á¦
6 ÁÖ : Linear transformation
- Á¦
7 ÁÖ : Some numerical examples
- Á¦
8 ÁÖ : Áß°£°í»ç
- Á¦
9 ÁÖ : Matrices and linear transformations
- Á¦
10 ÁÖ : matrices
- Á¦
11 ÁÖ : Representing linear trnsformations by matrices
- Á¦
12 ÁÖ : More on Representing linear trnsformations by matrices
- Á¦
13 ÁÖ : Systems of linear equations
- Á¦
14 ÁÖ : The elements of eigenvalue and eigenvector theory
- Á¦
15 ÁÖ : ±â¸»°í»ç
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