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Linear Approximations. Prof. Ben Brubaker defines and explores the properties of the linear approximation of a function at a point. The linear approximation is then applied to solve a simple differential equation encountered in chemical kinetics. (from ocw.mit.edu)

Linear Approximations


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01. Algorithm Efficiency
02. An Ode to ODEs
03. Basic Programming Techniques
04. Buffers
05. Chirality
06. Conditional Probability
07. Conservation of Mass
08. Contaminant Fate Modeling
09. Diffusion and Fick's Law
10. Dimensional Analysis
11. Divergence
12. Electric Potential
13. Entropy
14. Enzyme Kinetics
15. Equilibrium vs. Steady State
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17. Feedback Loops
18. Flux and Gauss' Law
19. Gear Trains
20. Genetics and Statistics
21. Gradient
22. Gravity
23. Kinetic Theory
24. Kinetics and Equilibrium
25. Latent Heat
26. Linear Approximations
27. Maxwell's Equations
28. Models of Light
29. Moments of Distributions
30. Motion
31. Newton's Laws
32. Polyelectrolyte Multilayers
33. Problem Solving Process
34. Radio Receivers
35. Rigid Body Kinematics
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38. Strategic Communication
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40. The Scientific Process: An Example from Biology
41. Torque
42. Unit Analysis
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45. VSEPR (Valence Shell Electron Pair Repulsion)
46. What is Temperature?