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  1. Jul 18, 2022 · Binary search algorithms are also known as half interval search. They return the position of a target value in a sorted list. These algorithms use the “divide and conquer” technique to find the value's position.

  2. The Binary Search Algorithm The basis of binary search relies on the fact that the data we’re searching is already sorted. Let’s take a look at what the binary search algorithm looks like in pseudocode. In this example, we’ll be looking for an element k in a sorted array with n elements. Here, min and max have been defined to be the array ...

  3. Binary Search AnalysisBinary search implementation is recursive… ‣ So how do we analyze it? ‣ write down the recurrence relation ‣ use plug & chug to make a guess ‣ prove our guess is correct with induction 15

  4. Binary Search • A binary search assumes the list of items in the search pool is sorted • It eliminates a large part of the search pool with a single comparison • A binary search first examines the middle element -- if it matches the target, the search is over • If it doesn't, only half of the remaining elements need be searched

  5. Binary search is a searching algorithm used to find the position of a target value within a sorted array or list. It follows a divide-and-conquer approach, systematically reducing the search space in each iteration by half.

  6. Lecture 6 Notes Binary Search. One of the fundamental and recurring problems in computer science is to find elements in collections, such as elements in sets. An important al-gorithm for this problem is binary search. We use binary search for an in-teger in a sorted array to exemplify it.

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  8. Use the bisect module to do a binary search in Python; Implement a binary search in Python both recursively and iteratively; Recognize and fix defects in a binary search Python implementation; Analyze the time-space complexity of the binary search algorithm; Search even faster than binary search