Numerical Methods for Chemical Engineering: Applications in MATLAB

Numerical Methods for Chemical Engineering: Applications in MATLAB. Suitable for a first-year graduate course, this textbook unites the applications of.
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If you are having problems accessing these resources please email lecturers cambridge. He has taught extensively across the engineering discipline at both the undergraduate and graduate level. This book is a result of the sucessful course the author devised at MIT for numerical methods applied to chemical engineering.

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Register Sign in Wishlist. Unlocking potential with the best learning and research solutions. Subjects Browse all subjects. Home Academic Engineering Chemical engineering.

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Add to cart Add to wishlist Other available formats: Numerous applications specific to chemical engineering and MATLAB integrated into each chapter, with an extensive library of example problems also located on the web It avoids theoretically detailed mathematics Contains numerous problems and homework exercises at the end of each chapter categorised according to difficulty with solutions available on the resource site.

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Aerospace engineering Biomedical engineering Chemical engineering Circuits and systems Civil and environmental engineering Communications, information theory and signal processing Computer engineering Control systems and optimization. Electromagnetics Electronic, optoelectronic devices, and nanotechnology Energy technology Engineering: Physical description xi, p.

Cambridge Core Access limited to 3 simultaneous users. Science Library Li and Ma. M36 B44 Unknown. Find it at other libraries via WorldCat Limited preview. Bibliography Includes bibliographical references p.

Nonlinear algebraic systems-- 3. Matrix eigenvalue analysis-- 4. Initial value problems-- 5. Boundary value problems-- 7. Probability theory and stochastic simulation-- 8. Bayesian statistics and parameter estimation-- 9.

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Nielsen Book Data Publisher's Summary Suitable for a first year graduate course, this textbook unites the applications of numerical mathematics and scientific computing to the practice of chemical engineering.