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differential equations of equilibrium


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  1. Introduction to 2nd order, linear, homogeneous differential equations with constant coefficients.

  2. Let's find the general solution!

  3. Let's use some initial conditions to solve for the particular solution.

  4. Another example with initial conditions!

  5. This lecture is all about motion of projectiles (if air drag can be ignored). The objects experience a constant vertical acceleration due to the acceleration of gravity (see also Lecture 12). Professor Lewin reviews the equations for projectile motion, showing that the trajectory is a parabola. He continues with a demonstration that shows how to measure the initial speed of a projectile and how to reach maximum horizontal distance shooting...more

  6. U02_L2_T2_we1 Absolute Value Equations.

  7. U02_L2_T2_we1 : Absolute Value Equations 1.

  8. U02_L2_T2_we2 : Example of solving an absolute value equation.

  9. Professor Sylvia Ceyer discusses the classification of acids and bases as they are defined by Arrhenius, Bronsted-Lory, and Lewis acid/base. The pH function (and pOH function) are defined as they relate to the strength of acids and bases (in water). Professor Ceyer then runs through the types of acid-base problems and concludes by discussing equilibrium involving weak acids.

  10. Professor Sylvia Ceyer continues her discussion of acid-base equilibrium, diving into buffers. The lecture concludes with the Henderson-Hasselbalch equation and its use in designing a buffer.

  11. Professor Sylvia Ceyer discuses titrations involving a strong acid and a strong base. Defining the point and equivalence and the end point. The lecture continues with a focus on calculating points on a pH curve, specifically calculating pH before the equivalence point, calculating volume of HCl needed to reach equivalence point, and calculating pH after the equivalence point. Finally, Professor Ceyer discusses characteristics of titratio...more

  12. Advice for Applying Machine Learning, Debugging Reinforcement Learning (RL) Algorithm, Linear Quadratic Regularization (LQR), Differential Dynamic Programming (DDP), Kalman Filter & Linear Quadratic Gaussian (LQG), Predict/update Steps of Kalman Filter, Linear Quadratic Gaussian (LQG)