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   ±³°ú¸ñ¸í :  2014Çг⵵ °¡À»Çб⠼öÄ¡¹ÌºÐ¹æÁ¤½Ä (Çмö¹øÈ£:34223)

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2. ÁÖ±³Àç

¡Û Numerical Mathematics and Computing (7th Ed); Cheney & Kincaid, Brooks/Coles, 2013 [Background knowledge]
Program download site:
http://www.ma.utexas.edu/CNA/NMC7/


3. Âü°í¹®Çå

¡Û Numerical Analysis : Mathematics of Scientific Computing, Kincaid & Cheney, Brooks/Coles [A companion textbook]

¡Û Numerical Methods using Matlab, Mathews & Fink, Prentice Hall [A standard textbook]

¡Û Applied Numerical Analysis using Matlab, Fausett, Prentice Hall, [More examples]

¡Û Numerical Analysis, Burden & Faires, PWS-KENT Publishing
[More mathematics]


4. Æò°¡ ±âÁØ

¼÷Á¦¿Í Ãâ¼®:  25% (¼÷Á¦Á¦Ãâ: È­ ¼ö¾÷½Ã°£ Àü, ¼ö¾÷½Ã°£: SNS/äÆà µî ±ÝÁö)

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7. Ordinary Differential Equations (ODE)

7.0 Initial Value Problems (IVP)

7.1 Taylor Series methods

 

2

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7.2 Runge-Kutta methods

7.3 RKF method and multistep methods

9/8-10(¿ù-¼ö)

 

3

 Systems of Ordinary Differential Equations

7.4 Methods for 1st and higher order systems

 

4

"

7.5 Adams-Bashforth-Moulton Methods

 

5

9. Least Squares methods and Fourier Series

9.1 Method of Least Squares

9.2 Orthogonal systems

 

6

"

9.3 Examples of the LS principle

9.4 Fourier Series

 

10/9(¸ñ)

7

10. Mote Carlo Methods and Simulation

10.1 Random numbers

10.2 Monte Carlo techniques

 

8

"

10.3 Simulation

 

 

Áß°£:10/23(¸ñ)

9

Áß °£ °í »ç

11. Boundary Value Problems (BVP) for ODEs

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11.1 Shooting method

10/27-29(¿ù-¼ö)

 

10

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11.2 A discretization method

 

11

12. Partial Differential Equations (PDE)

12.1 Parabolic problems

12.2 Hyperbolic problems

 

 

12

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12.3 Elliptic problems

 

13

13. Minimization of Functions

13.1 One-variable case

 

14

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14. Linear Programming(LP)

13.2 Multivariate case

14.1 Standard forms and duality

 

15

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14.2 Simplex method

14.3 Inconsistent Linear systems

 

16

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12/17-19(¼ö-±Ý)