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Optional: - extra webbing & buckles for a hood. Step 3: The First Cut I first removed the body from the original carrier. I unclipped the sides (a feature on the original Snugli), and cut the seat away from the waist belt. Step 4: Shoulder Straps Save as much shoulder strap as you can by cutting just above the plastic clips (found in this model of Snugli). Step 5: Waist Belt Inside the Snugli is a hard piece of plastic that you may not be able to cut through. I just used regular fabric scissors to cut a hole in the fabric and cut all the way around the plastic piece. IMPORTANT: Make sure you cut as high above the webbing & buckles as you can. Please see next step before completing this step. The plastic piece should then slide out as you cut all the way around it. Step 6: Webbing and Buckles When cutting into the fabric to remove that hard plastic piece, I mentioned it was important to cut as high above the webbing and buckles as possible. After removing the plastic, you should be able to cut the waist belt straight across, while also salvaging the webbing and buckles directly above it.
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With functions of one variable we integrated over an interval ( i. a one-dimensional space) and so it makes some sense then that when integrating a function of two variables we will integrate over a region of \({\mathbb{R}^2}\)(two-dimensional space). We will start out by assuming that the region in \({\mathbb{R}^2}\) is a rectangle which we will denote as follows,
\[R = \left[ {a, b} \right] \times \left[ {c, d} \right]\]
This means that the ranges for \(x\) and \(y\) are \(a \le x \le b\) and \(c \le y \le d\). Also, we will initially assume that \(f\left( {x, y} \right) \ge 0\) although this doesn't really have to be the case. Let's start out with the graph of the surface \(S\) given by graphing \(f\left( {x, y} \right)\) over the rectangle \(R\). Now, just like with functions of one variable let's not worry about integrals quite yet. Let's first ask what the volume of the region under \(S\) (and above the xy -plane of course) is. We will approximate the volume much as we approximated the area above.
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