To solve this optimization problem using Gurobi, we first need to understand and translate the given natural language description into a mathematical formulation. The objective is to minimize a linear function of three variables (bowls of instant ramen, corn cobs, and bowls of cereal) subject to several constraints involving these variables.

Let's denote:
- \(x_0\) as the quantity of bowls of instant ramen,
- \(x_1\) as the quantity of corn cobs,
- \(x_2\) as the quantity of bowls of cereal.

The objective function to minimize is: 
\[2.11x_0 + 9.07x_1 + 3.76x_2\]

Given constraints:
1. Calcium from instant ramen and cereal: \(16x_0 + 28x_2 \geq 73\)
2. Calcium from corn cobs and cereal: \(30x_1 + 28x_2 \geq 30\)
3. Calcium from all sources: \(16x_0 + 30x_1 + 28x_2 \geq 30\)
4. Relationship between instant ramen, cereal: \(-9x_0 + 6x_2 \geq 0\)
5. Relationship between instant ramen and corn cobs: \(-2x_0 + 8x_1 \geq 0\)
6. Total calcium limit: \(16x_0 + 30x_1 + 28x_2 \leq 113\)

The variables \(x_0\) (bowls of instant ramen) and \(x_1\) (corn cobs) are integers, while \(x_2\) (bowls of cereal) can be a fraction.

Now, let's translate this problem into Gurobi code:

```python
from gurobipy import *

# Create a model
m = Model("Optimization_Model")

# Define variables
x0 = m.addVar(vtype=GRB.INTEGER, name="Bowls_of_Instant_Ramen")
x1 = m.addVar(vtype=GRB.INTEGER, name="Corn_Cobs")
x2 = m.addVar(vtype=GRB.CONTINUOUS, name="Bowls_of_Cereal")

# Objective function
m.setObjective(2.11*x0 + 9.07*x1 + 3.76*x2, GRB.MINIMIZE)

# Constraints
m.addConstr(16*x0 + 28*x2 >= 73, "Calcium_from_Instant_Ramen_and_Cereal")
m.addConstr(30*x1 + 28*x2 >= 30, "Calcium_from_Corn_Cobs_and_Cereal")
m.addConstr(16*x0 + 30*x1 + 28*x2 >= 30, "Calcium_from_All_Sources")
m.addConstr(-9*x0 + 6*x2 >= 0, "Relationship_Between_Instant_Ramen_and_Cereal")
m.addConstr(-2*x0 + 8*x1 >= 0, "Relationship_Between_Instant_Ramen_and_Corn_Cobs")
m.addConstr(16*x0 + 30*x1 + 28*x2 <= 113, "Total_Calcium_Limit")

# Optimize model
m.optimize()

# Print results
for v in m.getVars():
    print(f"{v.varName}: {v.x}")

print("Objective:", m.objVal)
```