# STAT 327 Group work on Optimization
Please write the names and email addresses of your group members.
Here's an example:
* Name / email (@wisc.edu only): John Gillett / jgillett@wisc.edu
* Name / email (@wisc.edu only): ...
* Name / email (@wisc.edu only): ...
* Name / email (@wisc.edu only): ...
* Name / email (@wisc.edu only): ...
* Name / email (@wisc.edu only): ...
* Name / email (@wisc.edu only): ...
# Part 1: One-dimensional optimization
Graph the object's altitude vs. time.
```{r}
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Find the time at which the object strikes the ground.
```{r}
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Find the object's maximum height.
```{r}
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Find the time at which the object reaches its maximum height.
```{r}
```
# Part 2: Multi-dimensional optimization
Implement `gradient.descent()`.
```{r}
```
Graph the concentration.
Use `gradient.descent()` to find the peak.
Use `optim()` with `method=Nelder-Mead` to find the peak.
Use `optim()` with `method=BFGS` to find the peak.
How many calls did `optim()` make in each case? Which method would you
expect to be faster?