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A binary search is a method used in computer science to efficiently find a target value within a sorted array or list. It works by repeatedly dividing the search interval in half until the target value is found or determined to be not in the array. This approach is faster than linear search for large datasets because it eliminates half of the remaining elements at each step.

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4mo ago

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What is the name of the counting system that uses just ones and zeroes?

That is called binary. It is used a lot in computer science.That is called binary. It is used a lot in computer science.That is called binary. It is used a lot in computer science.That is called binary. It is used a lot in computer science.


Is B tree a Binary Search Tree?

Yes because there is no real practical use for a binary tree other than something to teach in computer science classes. A binary tree is not used in the real world, a "B tree" is.


What is the binary search definition in computer science and how is it used to efficiently locate a specific element in a sorted array?

Binary search is a search algorithm in computer science that efficiently finds the position of a specific element in a sorted array by repeatedly dividing the search interval in half. This method is used to quickly locate the desired element by comparing it to the middle element of the array and eliminating half of the remaining elements each time, until the target element is found or determined to be absent.


What is the use of binary?

Binary trees are commonly used to implement binary search tree and binary heaps.


What is the significance of a normalized binary number in computer science and how is it used in data representation?

A normalized binary number in computer science is important because it represents a standardized format for storing and manipulating numbers. It is used in data representation to ensure consistency and efficiency in calculations and operations. By normalizing binary numbers, computers can perform arithmetic operations more accurately and efficiently, making it easier to process and manipulate data.


Where is the binary system typically used?

on the computer


What coding method is used by the computer to convert text into Binary?

the binary numeral system


What is importance of binary system?

It is used to do all the computer coding!


What is the code used to program a computer?

binary and below that, microcode.


What language is used by the computer components to communicate?

Binary language.


Why did computer don't used binary?

Actually, computers do use binary. Other languages are simply used for easier readability (because binary is difficult for most humans to understand). These "high level" languages are then placed into an interpreter and then compiled into a program that uses binary to communicate with the computer.


What are some common array search algorithms used in computer science and how do they differ in terms of efficiency and implementation?

Some common array search algorithms in computer science include linear search, binary search, and hash table search. Linear search checks each element in the array one by one until the target element is found. It has a time complexity of O(n) where n is the number of elements in the array. Binary search is more efficient as it divides the array in half at each step, reducing the search space by half each time. It has a time complexity of O(log n) where n is the number of elements in the array. However, binary search requires the array to be sorted. Hash table search uses a hash function to map keys to values in a data structure called a hash table. It has an average time complexity of O(1) for searching, making it very efficient. However, hash table search may have collisions which can affect its efficiency. In terms of implementation, linear search is simple and easy to implement but may not be efficient for large arrays. Binary search is more complex to implement but is very efficient for sorted arrays. Hash table search requires additional data structures and functions to implement but provides fast search times for large datasets.