Joseph M. Mahaffy SDSU
Math 636: Mathematical Modeling Fall 2017
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Lectures for Math 636

  1. Introduction (4-Panel) -  Maple Commands (Maple .mw) - MatLab Getting Started (video)
  2. Linear and Polynomial Modeling (4-Panel) - vanA.m, cricket_graph3.m,
  3. Allometric Models and Dimensional Analysis (4-Panel) - Kleiber.xlsx, kleiber_pow.m, powerfit.m, sumsq_pow.m
  4. U. S. Population (4-Panel) - iter_map.m, USpopmal_636.m, mal_lst.m, nonmal_lst.m, log_lst.m, bh-lst.m,
  5. More Discrete Dynamical Models (4-Panel) - beetle_bh, beetle_log, sal_log, sal_ric, salmonupx, salmonx, simlog_eg, sklog_lst, sklog_sim, skric_lst, update_log
  6. SIR Model for Influenza (4-Panel) - lst_sir, sir_treat,
  7. Continuous models: Malthusian and Logistic Growth (4-Panel) - yst_lstm.m, yst_lst.m,
  8. Continuous models: Competition Model (4-Panel) -dfield8.m, pplane8.m, pplane.jar, comppar, leastcomp2, compet, reduct, compet_plot,
  9. Lotka Volterra models (4-Panel) - lv_parameters, leastcomplv, lotvol, lynxhare.mat, lynxhare_cont, lynxhare_plot,
  10. Bifurcation Studies (4-Panel) -
  11. Epidemic Models
  12. Diabetes Modeling (4-Panel) - diabetes_err, diabetes_ex.xls, GTT, GTT_fit,
  13. Markov Chain Monte Carlo (4-Panel) - Monte Carlo Simulations
  14. Stochastic Modeling (4-Panel) - Stochastic Modeling
  15. Leslie Matrices
  16. Age-Structured models and Erythropoiesis
  17. Spring-Pendulum model
  18. Nerve Impulse models

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