Algorithms are very important in computer Science. The best chosen algorithm makes sure computer will do the given task at best possible manner. In cases where efficiency matter a proper algorithm is really vital to be used. An algorithm is important in optimizing a computer program according to the available resources. . Show
Ultimately when anyone decide to solve a problem through better algorithms then searching for the best combination of program speed and least amount of memory consumption is desired. There are 7 Different types of algorithms those are used by computer programmers. Brute forceBrute force algorithm emphasis on solving problems in the most straight forward manner. It implies to use basic techniques to solve problems. In short these are simplest algorithms to be used. The simplicity costs in speed as this algorithm is comparatively slow in generating results. The best way is to use it with problems those are having small input size. Divide and conquerThe basic idea of this method is to make programs based on dividing the size of problems. In each loop cut the problem in parts with constant factor and then process further in the same fashion. This is a fast algorithm. Decrease and conquerThis method is having the basic idea as above method but the slight difference is there. It decreases the size of problem in each iteration. In dive and conquer each iteration cut the problem with a constant factor. Dynamic programmingIf you are searching of one efficient fast algorithm then dynamic programming is here. In this algorithm all focus is made on speed of execution even it costs memory space. Simply saying in this method space for time is sacrificed. The execution speed drastically reduces in this algorithm. This method is particularly useful to solve problems that those have overlapping sub problems. Greedy algorithmGreedy algorithm is a step based algorithm. In a greedy algorithm we analyze the problem in each step. Then use the best locally possible optimum solution to this particular step .Then the process repeats to all steps. It will lead to a globally optimal solution. Transform and conquerThis algorithm is based on using approaches we already know. The problem is transformed in to well familiar step based solutions. At last we accumulate the solution of each step at final step. Thus the name of this algorithm states self about the working. For example if we need to find the lcm of a number and we already know how to calculate GCD. This method says calculate LCM with the help of GCD as we know LCM ( a , b ) = (a * b) / GCD ( a , b ) Backtracking algorithmIn backtracking we generate a solution and test. If this solution is satisfying all conditions then and then only we go for further subsequent solutions else we will take a back gear simply saying backtrack and select a different path of finding solution. This process continues until we get a final solution.
You may have heard the term algorithm recently, whether it was online or perhaps in some conversation about technology. It's a word that gets thrown around a lot, but what does it mean exactly? Watch the video below to learn more about algorithms. An algorithm is simply a set of steps used to complete a specific task. They're the building blocks for programming, and they allow things like computers, smartphones, and websites to function and make decisions. In addition to being used by technology, a lot of things we do on a daily basis are similar to algorithms. Let's say you want to make some spaghetti. In order to do this successfully, there's a certain set of steps you need to follow in a particular order. First, you'll need to boil a pot of water. Once it's boiling, you then add the spaghetti and cook it for a set amount of time, stirring occasionally. Once it's finished, you drain the water, then it's ready to be served with a sauce of your choice. This entire process is actually an algorithm. Because you followed these steps in a particular order, you reached your desired outcome: a delicious pasta dish. But if you were to make a mistake like overcooking or undercooking your noodles, it probably wouldn't be as good. Programs work in a similar way. Their code is made up of algorithms telling them what to do. Let's say we want to use a navigation app to get directions. When we type a destination, the app uses an algorithm to look at the various available routes. Next, it uses a different algorithm to check the current traffic, then a third one takes that information and calculates the best available route. All of these algorithms are built right in to the app's code. If there were any kind of error in the code, the app wouldn't be able to follow these algorithms correctly, meaning you wouldn't receive your directions. Both of these examples show how humans and computers can use algorithms to perform everyday tasks. The difference is that computers can use algorithms and calculate things better, faster, and more efficiently than we can. Technology will only continue to evolve and get even better at what it does. As long as coding and programming continue to be used, algorithms will be at the heart of these technologies, guiding what they do and how they do it. /en/computer-science/hardware-and-software/content/
Editor's note: Here at We Rep STEM, we believe anyone can be a scientist, and we're strong believers that early exposure to STEM can spark a life-long fascination with how the world works. We're happy to have partnered with Juni Learning (Juni) to further our mission to get kids and beginners alike interested in new areas of study. It is Juni's goal to demystify and encourage a love of computers and computer science, and they have been kind enough to share some of their knowledge with us. Read on to learn more about algorithms, a.k.a, the backbone of computer science. An algorithm is a set of step-by-step procedures, or a set of rules to follow, for completing a specific task or solving a particular problem. Algorithms are all around us. The recipe for baking a cake, the method we use to solve a long division problem, and the process of doing laundry are all examples of algorithms. Here’s what baking a cake might look like, written out as a list of instructions, just like an algorithm: Algorithmic programming is all about writing a set of rules that instruct the computer how to perform a task. A computer program is essentially an algorithm that tells the computer what specific steps to execute, in what specific order, in order to carry out a specific task. Algorithms are written using particular syntax, depending on the programming language being used. Algorithms are classified based on the concepts that they use to accomplish a task. While there are many types of algorithms, the most fundamental types of computer science algorithms are: You could start with solving a Rubik’s Cube. There are a number of different algorithms, from simple to very complicated, that exist for solving a Rubik’s cube. Below is just one simple algorithm. First, let’s specify a notation to use (similar to picking a programming language). Each of the six faces of a Rubik’s cube can be represented by the first letter of their name: Each face can be turned in three different ways/directions. Using U as an example, these are represented as: Now, let’s go through the steps in the algorithm to solve a Rubik’s Cube. Feel free to grab one of your own and follow along! A sorting algorithm is an algorithm that puts elements of a list in a certain order, usually in numerical or lexicographical order. Sorting is often an important first step in algorithms that solves more complex problems. There are a large number of sorting algorithms, each with their own benefits and costs. Below, we will focus on some of the more famous sorting algorithms.
WHERE ARE ALGORITHMS USED IN COMPUTER SCIENCE?Algorithms are used in every part of computer science. They form the field’s backbone. In computer science, an algorithm gives the computer a specific set of instructions, which allows the computer to do everything, be it running a calculator or running a rocket. Computer programs are, at their core, algorithms written in programming languages that the computer can understand. Computer algorithms play a big role in how social media works: which posts show up, which ads are seen, and so on. These decisions are all made by algorithms. Google’s programmers use algorithms to optimize searches, predict what users are going to type, and more. In problem-solving, a big part of computer programming is knowing how to formulate an algorithm. VIDEO: LEARNING ABOUT ALGORITHMSVIEW TEXT TRANSCRIPT OF VIDEO HERE.WHY IS IT IMPORTANT TO UNDERSTAND ALGORITHMS?Algorithmic thinking, or the ability to define clear steps to solve a problem, is crucial in many different fields. Even if we’re not conscious of it, we use algorithms and algorithmic thinking all the time. Algorithmic thinking allows students to break down problems and conceptualize solutions in terms of discrete steps. Being able to understand and implement an algorithm requires students to practice structured thinking and reasoning abilities. This article originally appeared on junilearning.com FacebookTwitterPinterestLinkedinRedditMixEmail |