Skip to main content Accessibility help
×
  • Cited by 17
Publisher:
Cambridge University Press
Online publication date:
June 2012
Print publication year:
2006
Online ISBN:
9780511812194

Book description

Suitable for a first year graduate course, this textbook unites the applications of numerical mathematics and scientific computing to the practice of chemical engineering. Written in a pedagogic style, the book describes basic linear and nonlinear algebric systems all the way through to stochastic methods, Bayesian statistics and parameter estimation. These subjects are developed at a level of mathematics suitable for graduate engineering study without the exhaustive level of the theoretical mathematical detail. The implementation of numerical methods in MATLAB is integrated within each chapter and numerous examples in chemical engineering are provided, with a library of corresponding MATLAB programs. This book will provide the graduate student with essential tools required by industry and research alike. Supplementary material includes solutions to homework problems set in the text, MATLAB programs and tutorial, lecture slides, and complicated derivations for the more advanced reader. These are available online at www.cambridge.org/9780521859714.

Refine List

Actions for selected content:

Select all | Deselect all
  • View selected items
  • Export citations
  • Download PDF (zip)
  • Save to Kindle
  • Save to Dropbox
  • Save to Google Drive

Save Search

You can save your searches here and later view and run them again in "My saved searches".

Please provide a title, maximum of 40 characters.
×

Contents

References
Abdel-Khalik, S. I., Hassager, O., and Bird, R. B., 1974, Polym. Eng. Sci., 14, 859–867
Akin, J. E., 1994, Finite Elements for Analysis and Design. San Diego: Academic Press
Allen, E. C. and Beers, K. J., 2005, Polymer, 46, 569–573
Arnold, V. I., 1989, Mathematical Methods of Classical Mechanics, second edition. New York: Springer
Ascher, U. M. and Petzold, L. R., 1998, Computer Methods for Ordinary Differential Equations and Differential-Algebraic Equations. Philadelphia: SIAM
Atkins, P. W. and Friedman, R. S., 1999, Molecular Quantum Mechanics, third edition. New York: Oxford University Press
Ballenger, T. F.., 1971, Trans. Soc. Rheol., 15, 195–215
Beers, K. J. and Ray, W. H., 2001, J. Applied Polym. Sci., 79, 266–274
Bellman, R., 1957, Dynamic Programming. Princeton: Princeton University Press
Bernardo, J. M. and Smith, A. F. M., 2000, Bayesian Theory. Chichester: John Wiley & Sons Ltd
Bird, R. B., Stewart, W. E., and Lightfoot, E. N., 2002, Transport Phenomena, second edition. New York: Wiley
Bolstad, W. M., 2004, Introduction to Bayesian Statistics. Hoboken: Wiley
Box, G. E. P. and Tiao, G. C., 1973, Bayesian Interference in Statistical Analysis. New York: Wiley
Broyden, C. G., 1965, Math. Comput., 19, 577–593
Chaikin, P. M. and Lubensky, T. C., 2000, Principles of Condensed Matter Physics. Cambridge: Cambridge University Press
Chandler, D., 1987, Introduction to Modern Statistical Mechanics. New York: Oxford University Press
Chen, M. H., Shao, Q. M., and Ibrahim, J. G., 2000. Monte Carlo Methods in Bayesian Computation. New York: Springer
Cussler, E. L. and Varma, A., 1997, Diffusion : Mass Transfer in Fluid Systems. Cambridge: Cambridge University Press
Dean, T., Allen, J., and Aloimonos, Y., 1995, Artificial Intelligence: Theory and Practice. Redwood City: Benjamin-Cummings
Deen, W. M., 1998, Analysis of Transport Phenomena. New York: Oxford University Press
Finetti, B., 1970, Theory of Probability, new English edition (1990). Chichester: Wiley
Dotson, N. A., Galván, R., Laurence, R. L., and Tirrell, M., 1996, Polymerization Process Modeling. New York: VCH
Ferziger, J. H. and Peric, M., 2001, Computational Methods for Fluid Dynamics, third edition. Berlin: Springer
Finlayson, B. A., 1992, Numerical Methods for Problems with Moving Fronts. Seattle: Ravenna Park
Flory, P. F., 1953, Principles of Polymer Chemistry. Ithaca: Cornell University Press
Fogler, H. S., 1999, Elements of Chemical Reaction Engineering, third edition. Upper Saddle River: Prentice-Hall
Frenkel, D. and Smit, B., 2002, Understanding Molecular Simulation, second edition. San Diego: Academic Press
Golub, G. H. and Loan, C. F., 1996, Matrix Computations, third edition. Baltimore: Johns Hopkins University Press
Gosset, W. S., 1908, Biometrika, 6, 1–25
Jeffreys, H., 1961, Theory of Probability, third edition. Oxford: Oxford University Press
Kennedy, J. and Eberhart, R., 1995, Proc. IEEE Intl. Conf. on Neural Networks, Perth, Australia. Piscataway: Institute of Electrical and Electronics Engineers
Kloeden, P. E. and Platen, E., 2000, Numerical Solution of Stochastic Differential Equations. Berlin: Springer
Leach, A. R., 2001, Molecular Modelling: Principles and Applications, second edition. Harlow: Prentice-Hall
Leonard, T. and Hsu, J. S. J., 2001, Bayesian Methods. Cambridge: Cambridge University Press
Macosko, C. W. and Miller, D. R., 1976, Macromolecules, 9, 199–206
Naylor, A. W. and Sell, G. R., 1982, Linear Operator Theory In Engineering and Science, second edition. New York: Springer-Verlag
Nocedal, J. and Wright, S. J., 1999, Numerical Optimization. New York: Springer
Odian, G., 1991, Principles of Polymerization, third edition. New York: Wiley
Oran, E. S. and Boris, J. P., 2001, Numerical Simulation of Reactive Flow, second edition. Cambridge: Cambridge University Press
O'Rourke, J., 1993, Computational Geometry in C. Cambridge: Cambridge University Press
Öttinger, H. C., 1996, Stochastic Processes in Polymeric Fluids. Berlin: Springer-Verlag
Perry, and Green, , 1984, Chemical Engineer's Handbook, sixth edition. New York: McGraw-Hill
Press, W. H., Teukolsky, S. A., Vetterling, W. T., and Flannery, B. P., 1992, Numerical Recipes in C, second edition. Cambridge: Cambridge University Press
Quateroni, A., Sacco, R., and Saleri, F., 2000, Numerical Mathematics. New York: Springer
Ray, W. H., 1972, J. Macromol. Sci.-Revs. Macromol. Chem., C8, 1–56
Reklaitis, G. V., 1983, Introduction to Mass and Energy Balances. New York: Wiley
Robert, C., 2001, The Bayesian Choice, second edition. New York: Springer
Sontag, E. D., 1990, Mathematical Control Theory : Deterministic Finite Dimensional Systems. New York: Springer-Verlag
Stakgold, I., 1979, Green's Functions and Boundary Value Problems. New York: Wiley
Stoer, J. and Bulirsch, R., 1993, Introduction to Numerical Analysis, second edition. New York: Springer
Stokes, R. J. and Evans, D. F., 1997, Fundamentals of Interfacial Engineering. New York: Wiley-VCH
Strang, G., 2003, Introduction to Linear Algebra, third edition. Wellesley: Wellesley Cambridge Press
Trottenberg, U., Oosterlee, C. W., and Schuller, A., 2000, Multigrid. San Diego: Academic Press
Villadsen, J. and Michelsen, M. L., 1978, Solution of Differential Equation Models by Polynomial Approximation. Engleword Cliffs: Prentice-Hall
Wilmott, P., 2000, Quantitative Finance. Chichester: Wiley
Yasuda, K., Armstrong, R. C., and Cohen, R. E., 1981, Rheol. Acta, 20, 163–178

Metrics

Full text views

Total number of HTML views: 0
Total number of PDF views: 0 *
Loading metrics...

Book summary page views

Total views: 0 *
Loading metrics...

* Views captured on Cambridge Core between #date#. This data will be updated every 24 hours.

Usage data cannot currently be displayed.