Part 1a with forward approximation method

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Noah L. Schrick 2023-02-14 17:20:55 -06:00
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# Project 3 for the University of Tulsa's CS-7863 Sci-Stat Course
# Numerical Ordinary Differential Equations
# Professor: Dr. McKinney, Spring 2023
# Noah L. Schrick - 1492657
## 1. Approximate deriv. of sin(x) at x=pi from h=10^-1 -> 10^-20
forward.approx <- function(func, x, h){
approx <- (func(x+h) - func(x))/h
}
forward.approx.table <- matrix(nrow = 0, ncol = 3)
colnames(forward.approx.table) <- c("h", "approximation", "error")
for(h in 10^(seq(-1,-20,-1))){
approx <- forward.approx(sin, pi, h)
error <- abs(cos(pi)-approx)
forward.approx.table <- rbind(forward.approx.table, c(h, approx, error))
}
plot(abs(log(forward.approx.table[,"h"],10)), forward.approx.table[,"error"],
xlab="h [10^-x]", ylab="error (logscale)", type="o", log="y")
# Repeat with central difference approx
## 2.
# a) Runge-Kutta
# b) Numerically solve the decay ode and compare to Euler and RK error
## 3. Use library function ode45 to solve the decay numerically
## 4. Solve the predator-prey model numerically
# a) k1=0.01, k2=0.1, k3=0.001, k4=0.05, prey(0)=50, pred(0)=15. t=0 -> 200
# plot
# b) Use Euler and RK to solve with h=10
# plot comparing Prey solutions to ode45
# c) Use k3=0.02
## 5. Solve SIR model numerically from t=0 -> 20
# a) a=0.5, b=1, S(0)=0.9, I(0)=0.1, R(0)=0
# plot
# b) a=3
## 6. Decomp of dinitrogen pentoxygen into nitrogen dioxide and molecular oxygen
# a) k1=1.0, k2=0.5, k3=0.2,k4=1.5, [N2O5]o=1, all other IC's=0, t=0 -> 10
# b) Increase k4 to make the intermediate species -> 0