10.34
Numerical Methods Applied to Chemical Engineering
Numerical methods for solving problems arising in heat and mass transfer, fluid mechanics, chemical reaction engineering, and molecular simulation. Topics: numerical linear algebra, solution of nonlinear algebraic equations and ordinary differential equations, solution of partial differential equations (e.g., Navier-Stokes), numerical methods in molecular simulation (dynamics, geometry optimization). All methods are presented within the context of chemical engineering problems. Familiarity with structured programming is assumed.
Fall 2015
Topics
- Linear algebra 1
- Linear algebra 2
- Linear algebra 3
- Linear algebra 4
- Linear algebra 5
- Linear algebra 6
- Systems of nonlinear equations 1
- Systems of nonlinear equations 2
- Summary and review on linear algebra and systems of nonlinear equations
- Optimization 1
- Optimization 2
- Optimization 3
- Optimization 4
- ODE-IVP and numerical integration 1
- ODE-IVP and numerical integration 2
- Differential-algebraic equations 1
- Differential-algebraic equations 2
- Differential-algebraic equations 3
- Boundary value problems 1
- Boundary value problems 2
- Boundary value problems 3
- Partial differential equations 1
- Partial differential equations 2
- Partial differential equations 3
- Summary and review on IVP, differential-algebraic equations, and boundary value
- Probability theory 1
- Probability theory 2
- Models vs. data 1
- Models vs. data 2
- Models vs. data 3
- Operator splitting
- Monte Carlo methods 1
- Monte Carlo methods 2
- Stochastic chemical kinetics 1
- Stochastic chemical kinetics 2
Readings
- SES #: 1 · SUBJECTS: Linear algebra 1 · READINGS: [Beers] pp. 1–46.
- SES #: 5 · SUBJECTS: Linear algebra 5 · READINGS: [Beers] pp. 104–28.
- SES #: 7 · SUBJECTS: Systems of nonlinear equations 1 · READINGS: [Beers] pp. 61–84.
- SES #: 9 · SUBJECTS: Summary and review on linear algebra and systems of nonlinear equations · READINGS: [Beers] pp. 203–7.
- SES #: 10 · SUBJECTS: Optimization 1 · READINGS: [Beers] pp. 212–45.
- SES #: 14 · SUBJECTS: ODE-IVP and numerical integration 1 · READINGS: [Beers] pp. 154–94.
- SES #: 16 · SUBJECTS: Differential-algebraic equations 1 · READINGS: [Beers] pp. 195–202.
- SES #: 19 · SUBJECTS: Boundary value problems 1 · READINGS: [Beers] pp. 258–311.
- SES #: 26 · SUBJECTS: Probability theory 1 · READINGS: [Beers] pp. 317–25.
- SES #: 28 · SUBJECTS: Models vs. data 1 · READINGS: [Beers] pp. 372–403.
- SES #: 32 · SUBJECTS: Monte Carlo methods 1 · READINGS: [Beers] pp. 325–56.
- Rektenwald, G. Numerical Methods with MATLAB: Implementations and Applications . Pearson, 2000. ISBN: 9780201308600 — This book provides only simple numerical methods, but is good introdution to using MATLAB.
- Heath, Michael T. Scientific Computing . The McGraw-Hill Companies, Incorporation, 2002. ISBN: 9780072399103 — This book has more concise coverage of many topics.
Fall 2005
Topics
- Introduction
- MATLAB® Programming (cont.)
- Linear Systems
- Sparse and Banded Matrices, Solving Linear BVPs with Finite Differences
- Ax=b as Linear Transformation
- Newton’s Method for Solving Sets of Nonlinear Algebraic Equations
- Quasi-Newton and Reduced-step Algorithms
- Orthogonal Matrices
- Schur Decomposition
- Numerical Calculation of Matrix Eigenvalues, Eigenvectors
- Interpolation and Numerical Integration
- ODE Initial Value Problems
- Numerical Issues (Stiffness) and MATLAB® ODE Solvers
- DAE Systems and Applications
- Nonlinear Optimization
- Treating Constraints and Optimization Routines in MATLAB®
- Optimization Examples
- Nonlinear Reaction/Diffusion PDE-BVPs
- Treating Convection Terms in PDEs
- Finite Volume and Finite Element Methods
- Introduction to Probability Theory
- Random Variables, Binomial, Gaussian, and Poisson Distributions
- Random Walks
- Brownian Dynamics and Stochastic Calculus
- Theory of Diffusion
- Monte Carlo Simulation
- Monte Carlo Simulation (cont.)
- Introduction to Statistics and Parameter Estimation
- Linear Least Squares Regression
- Choosing Priors
- Non-linear Regression
- Bayesian Monte Carlo Methods for Single-response Regression
- Applications of Bayesian MCMC
- Multi-response Parameter Estimation
- Regression from Composite Single and Multi Response Data Sets
- Model Criticism and Validation
Readings
- Beers, Kenneth. Numerical Methods for Chemical Engineering: Applications in MATLAB®. New York, NY: Cambridge University Press, November 2006. ISBN: 9780521859714.
- Allen, Erik C., and Kenneth J. Beers. “Ab Initio Study of the Binding Strength of POSS-cation Complexes.” Polymer 46 (2005): 569–573.
- Wylie, C. Ray, and Louis C. Barrett. Advanced Engineering Mathematics . New York, NY: McGraw-Hill, 1982. ISBN: 9780070721883.
- Hassani, Sadri. Mathematical Physics: A Modern Introduction to Its Foundations . New York, NY: Springer, 1999. ISBN: 9780387985794.
- Naylor, Arch W., and George R. Sell. Linear Operator Theory in Engineering and Science . New York, NY: Springer-Verlag, 1994. ISBN: 9780387907482.
- Stackgold, Ivar. Green’s Functions and Boundary Value Problems . New York, NY: Wiley, 1979. ISBN: 9780471819677.
- Arnold, V. I. Mathematical Methods of Classical Mechanics . New York, NY: Springer, 1997. ISBN: 9780387968902.
- Seydel, R. Practical Bifurcation and Stability Analysis: From Equilibrium to Chaos . New York, NY: Springer-Verlag, 1994. ISBN: 9780387943169.
- Stoer, J., and Bulirsch. Introduction to Numerical Analysis . New York, NY: Springer-Verlag, 1996. ISBN: 9780387978789.
- Strang, Gilbert. Introduction to Applied Mathematics . Wellesley, MA: Wellesley-Cambridge Press, 1986. ISBN: 9780961408800.
- ———. Inroduction to Linear Algebra . 2nd ed. Wellesley, MA: Wellesley-Cambridge Press, 1993. ISBN: 9780961408855.
- Press, W. H., W. T. Vetterline, S. A. Teukolsky, and B. P. Flannery. Numerical Recipes in C . New York, NY: Cambridge University Press, 1992. ISBN: 9780521431088.
- ———. Numerical Recipes in Fortran . New York, NY: Cambridge University Press, 1996. ISBN: 052143064.
- ———. Numerical Recipes in Fortran 90: The Art of Parallel Scientific Computing . New York, NY: Cambridge University Press, 1996. ISBN: 9780521574396.
- Schiesser, William E. Computational Mathematics in Engineering and Applied Science . Boca Raton, FL: CRC Press, 1993. ISBN: 9780849373732.
- Rozanov, Y. A. Probability Theory: A Concise Course . New York, NY: Dover, 1977. ISBN: 9780486635446.
- McPherson, Glen. Applying and Interpreting Statistics: A Comprehensive Guide . New York, NY: Springer, 2001. ISBN: 9780387951102.
- Keeping, E. S. Introduction to Statistical Inference . New York, NY: Dover, 1995. ISBN: 9780486685021.
- Sen, Ashish, and Muni Srivastava. Regression Analysis: Theory, Methods, and Applications . New York, NY, Springer, 1997. ISBN: 9780387972114.
- Bernardo, Jose M., and Adrian F. M. Smith. Bayesian Theory . New York, NY: Wiley, 1994. ISBN: 9780471924166.
- Zachmanoglou, E. C., and D. W. Thoe. Introduction to Partial Differential Equations with Applications . New York, NY: Dover, 1987. ISBN: 9780486652511.
- Bathe, K. J. Finite Element Procedures . Upper Saddle River, NJ: Prentice Hall, 1995. ISBN: 9780133014587.
- Akin, J. E. Finite Elements for Analysis and Design . London, UK: Academic Press, 1994. ISBN: 9780120476541.
- Ferziger, J. H., and M. Peric. Computational Methods for Fluid Dynamics . New York, NY: Springer, 1997. ISBN: 9783540594345.
- Wendt, J. F., ed. Computational Fluid Dynamics . New York, NY: Springer, 1996. ISBN: 9783540594710.
- Peyret, R., ed. Handbook of Computational Fluid Mechanics . London, UK: Academic Press, 1996. ISBN: 9780125530101.
- Part-Enander, Eva, and Anders Sjoberg. The MATLAB® 5 Handbook . Reading, MA: Addison-Wesley, 2000. ISBN: 9780201398458.
- Ellis, T. M. R., I. R. Philips, and T. M. Lahey. Fortran 90 Programming . Reading, MA: Addison-Wesley, 1994. ISBN: 9780201544466.
- Barton, J. J., and L. R. Nackman. Scientific and Engineering C++ . Reading, MA: Addison Wesley, 1994. ISBN: 9780201533934.
- McConnell, Steve. Code Complete: A Practical Handbook of Software Construction . Redmond, WA: Microsoft Press, 1993. ISBN: 9780201533934.
- Frenkel, Daan, and Berend Smit. Understanding Molecular Simulation: From Algorithms to Applications . San Diego, CA: Academic Press, 1996. ISBN: 9780122673702.
- Kloeden, P. E., and E. Platen. Numerical Solution of Stochastic Differential Equations . New York, NY: Springer, 1992. ISBN: 9783540540625.
Prerequisites & course information
Prereq: Permission of instructor G (Fall) 4-0-8 units
Sources
- Course catalogue ↗2026–2027
- MIT OpenCourseWare ↗Fall 2015
- MIT OCW readings ↗
- MIT OCW calendar ↗
- MIT OCW syllabus ↗
- MIT OpenCourseWare ↗Fall 2005
- MIT OCW calendar ↗
- MIT OCW syllabus ↗
- MIT OCW readings ↗
- Historical MIT OpenCourseWare offering. Named reading entries and schedule topics are automatically extracted from the linked source pages.
- Historical MIT OpenCourseWare offering. Named reading entries and schedule topics are automatically extracted from the linked source pages.