Readings

[Beers] = Beers, Kenneth J. Numerical Methods for Chemical Engineering: Applications in MATLAB®. Cambridge University Press, 2006. ISBN: 9780521859714. [Preview with Google Books]

SES # SUBJECTS READINGS
1 Linear algebra 1 [Beers] pp. 1–46.
2 Linear algebra 2  
3 Linear algebra 3  
4 Linear algebra 4  
5 Linear algebra 5 [Beers] pp. 104–28.
6 Linear algebra 6  
7 Systems of nonlinear equations 1 [Beers] pp. 61–84.
8 Systems of nonlinear equations 2  
9 Summary and review on linear algebra and systems of nonlinear equations [Beers] pp. 203–7.
10 Optimization 1 [Beers] pp. 212–45.
11 Optimization 2  
12 Optimization 3  
13 Optimization 4  
14 ODE-IVP and numerical integration 1 [Beers] pp. 154–94.
15 ODE-IVP and numerical integration 2  
Quiz 1
16 Differential-algebraic equations 1 [Beers] pp. 195–202.
17 Differential-algebraic equations 2  
18 Differential-algebraic equations 3  
19 Boundary value problems 1 [Beers] pp. 258–311.
20 Boundary value problems 2  
21 Boundary value problems 3  
22 Partial differential equations 1  
23 Partial differential equations 2  
24 Partial differential equations 3  
25 Summary and review on IVP, differential-algebraic equations, and boundary value  
Quiz 2
26 Probability theory 1 [Beers] pp. 317–25.
27 Probability theory 2  
28 Models vs. data 1 [Beers] pp. 372–403.
29 Models vs. data 2 Joe Scott Notes (PDF)
30 Models vs. data 3  
31 Operator splitting  
32 Monte Carlo methods 1 [Beers] pp. 325–56.
33 Monte Carlo methods 2 Joe Scott Notes (PDF)
34 Stochastic chemical kinetics 1  
35 Stochastic chemical kinetics 2  
36 Last day of class, review for final exam  
Final Exam