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I recently came across a dataset for physical ocean parameters such as temperature and salinity that provided data in the form of a 3-Dimensional array of depths and a 3-Dimensional array of the parameters where each point on the first two dimensions corresponds to a latitude and longitude, respectively, and the points in the third dimension corresponds to depths.

Given a target depth, return the linearly interpolated values of the data at that depth without using the keywords `for` or `while` in your code.

For example, if *Z* and *V* are arrays with size [ *M*, *N*, *D* ], the output matrix *V2* would be of size [ *M* *N* ].

Test Case Details:

- The depth array,
*Z*, will always start at 0 and end at 1, which are also the bounds of the target depth*d*. This is so that you do not have to handle "edge" cases. - The depth array,
*Z*, will always be sorted in the third dimension. - Both input arrays will be the same size.
- The test cases are randomly generated and your solution is tested against a simple for-looping code.

7 correct solutions
7 incorrect solutions

Last solution submitted on Jan 26, 2015

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