Problem 378. Inhomogenous Depth Scale Interpolation

Created by @bmtran (Bryant Tran)

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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 <tt>for</tt> or <tt>while</tt> 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:<ul><li>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.</li><li>The depth array, Z, will always be sorted in the third dimension.</li><li>Both input arrays will be the same size.</li><li>The test cases are randomly generated and your solution is tested against a simple for-looping code.</li></ul>

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Last Solution submitted on Jun 14, 2020

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Alfonso Nieto-Castanon on 22 Feb 2012

perhaps you could specify a target numerical precision? (isequal on floats can be flaky)

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Problem 378. Inhomogenous Depth Scale Interpolation

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