InfoCoBuild

10.34 Numerical Methods Applied to Chemical Engineering

10.34 Numerical Methods Applied to Chemical Engineering (Fall 2015, MIT OCW). Instructors: Prof. William Green, Jr. and Prof. James W. Swan. 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. (from ocw.mit.edu)

Lecture 25 - Review Session


Go to the Course Home or watch other lectures:

Lecture 05 - Eigenvalues and Eigenvectors
Lecture 06 - Singular Value Decomposition; Iterative Solutions of Linear Equations
Lecture 07 - Solutions of Nonlinear Equations; Newton-Raphson Method
Lecture 08 - Quasi-Newton-Raphson Methods
Lecture 09 - Homotopy and Bifurcation
Lecture 11 - Unconstrained Optimization; Newton-Raphson and Trust Region Methods
Lecture 12 - Constrained Optimization; Equality Constraints and Lagrange Multipliers
Lecture 13 - ODE-IVP and Numerical Integration 1
Lecture 16 - ODE-IVP and Numerical Integration 4
Lecture 18 - Differential Algebraic Equations 2
Lecture 19 - Differential Algebraic Equations 3
Lecture 20 - Boundary Value Problem 1
Lecture 21 - Boundary Value Problem 2
Lecture 22 - Partial Differential Equations 1
Lecture 25 - Review Session
Lecture 26 - Partial Differential Equations 2
Lecture 27 - Probability Theory 2
Lecture 28 - Models vs. Data 1
Lecture 30 - Models vs. Data 3
Lecture 33 - Monte Carlo Methods 2
Lecture 34 - Stochastic Chemical Kinetics 1
Lecture 35 - Stochastic Chemical Kinetics 2
Lecture 36 - Review