Math82 in a nutshell

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Across
  1. 2. AKA pringle city
  2. 6. If matrix A = [0 q -q 0], the direction that e^At moves the initial condition
  3. 8. The most fun kind of problem to solve in DEs
  4. 10. What you add when
  5. 11. What you make when you run out of ways to solve a DE
  6. 12. The existence and uniqueness theorem for DEs
Down
  1. 1. Who you ask when your linearization around an equilibrium point doesn't look right
  2. 3. Math82 is a ___ combination of Math73 and Math19
  3. 4. The worst numerical method
  4. 5. Who we love for showing us e^At
  5. 7. Zoology of linear systems
  6. 9. The linear DE you have to whip out the power series to solve