Advanced algorithms by Khuller S.
By Khuller S.
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A repetitive task is an opportunity for reuse, and rightly languages that can better exploit various flavors of similarity should rate higher on a certain quality scale. What we need to figure out is the particular kind of similarity that Min and Max (and we hope other statistical functions) enjoy. As we think it through, it looks like they both belong to the kind of statistical functions that build their result incrementally and need only one number to characterize the result. Let's call this category of statistical functions, incremental functions.
Outside a few specialized applications, dynamically sized arrays are to be preferred because more often than not you don't know the size of the array in advance. Arrays have shallow copy semantics, meaning that copying one array variable to another does not copy the entire array; it just spawns a new view to the same underlying storage. If you do want to obtain a copy, just use the dup property of the array: int[] a= new int[100]; Chapter 1. 2 Array Slicing. Type Generic Functions. Unit Tests - Array slicing is a powerful feature that allows referring to a portion of an array without actually copying array data.
6. Interfaces and Classes 21 line. Ideally, we'd confine each statistical function to one contiguous piece of code. That way, we can add new functionality to the program by simply appending new code—the Open-Closed principle [39] at its best. Such an approach entails figuring out what all, or at least most, statistical functions have in common, with the goal of manipulating them all from one place and in a uniform manner. Let's start by remarking that Min and Max take their input one number at a time and have the result handy as soon as the input is finished.