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[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2023-10-06 UTC."],[[["\u003cp\u003eComputes the dot product of corresponding 1-D arrays within two input images, resulting in a new image.\u003c/p\u003e\n"],["\u003cp\u003eEach 1-D array represents a band in the input images, and they must have the same length.\u003c/p\u003e\n"],["\u003cp\u003eThe dot product calculation is performed element-wise between the arrays in matching bands.\u003c/p\u003e\n"],["\u003cp\u003eThe resulting image contains a single band representing the dot product values for each pixel location.\u003c/p\u003e\n"]]],["The `arrayDotProduct` function computes the dot product between two 1-D array images. It takes two image arguments, `image1` and `image2`, representing the first and second array images respectively. The dot product is calculated for each corresponding pair of 1-D arrays in the images' bands. The result is an `Image` representing the dot product. The example illustrates this using arrays [0, 1, 2] and [3, 4, 5], yielding a dot product of 14.\n"],null,[]]