The hash table is perfect solution to store dictionary where each data is uniquely identified using a key. The dictionaries are implemented using arrays. The key are stored with the object itself and each data element has its own index value. Therefore, data is stored in the array as key-value pair. The hash table uses …
The Fibonacci search algorithm is another variant of binary search based on divide and conquer technique. The binary search as you may have learned earlier that split the array to be searched, exactly in the middle recursively to search for the key. Fibonacci search on the other hand is bit unusual and uses the Fibonacci …
The binary search algorithm is very popular search algorithm. It is also known as half-interval search or uniform binary search as it split the array of data into two equal parts recursively until a solution is found. The array in binary search must be sorted. Binary search employ an algorithm design technique known as divide …
The interpolation is an advanced version of binary search algorithm. It performs better than the binary search algorithm for large data sets. Remember how we look for a word in the dictionary. If you want to search for word “Cat” immediately we open that part of the dictionary because we have an idea about where …
Earlier you learned about linear search which search for a key from a given array. The search is affected by whether the array is ordered or unordered. The performance get better if the key is found at the beginning of the array. The transpose sequential search does that for repeated searches. It is also known …
The linear search is the simplest search where we try to find an element K from the list L. We have to compare K with each and every item in the list. The search is affected when the list if sorted or unsorted. Linear Search Suppose we want to find search key from array with …
Given a piece of code, how to determine the complexities without much effort? Each piece of code has a time complexity associated with it which you need to learn. Next time, you see any complex code break it into individual pieces and count the time complexity. Before you begin, learn the basics of algorithm performance …
The Big O notation, the theta notation and the omega notation are asymptotic notations to measure the order of growth of algorithms when the magnitude of inputs increases. In the previous article performance analysis you learned that algorithm executes in steps and each step takes a “constant time“. You can count the number of steps …
Performance analysis of an algorithm is done to understand how efficient that algorithm is compared to another algorithm that solves the same computational problem. Choosing efficient algorithms means computer programmers can write better and efficient programs. A computer resource is memory and CPU time and performance analysis revolves around these two resources. Two ways to …
In this article, you will learn how to represent an algorithm using a pseudo code and elements of pseudo codes. Learning a programming language is not necessary to understand pseudo code, but knowing a programming language like C, Pascal, etc. help you understand the pseudo codes better. The algorithm has two part heading and the …
