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Let's take some examples of algorithms for computer science problems. Example 1. Swap two numbers with a third variable . Step 1: Start. Step 2: Take 2 numbers as input. Step 3: Declare another variable as "temp". Step 4: Store the first variable to "temp". Step 5: Store the second variable to the First variable.
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BetaUnderstand what problem this algorithm or data structure is trying to solve: Here, learning where other alternatives fall short is helpful. Break it down to the key elements or steps that define the algorithm. Understand them individually and how they connect. From this, code the algorithm. Example 1: Binary search
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BetaAlgorithm: The word “algorithm” relates to the name of the mathematician Al-khowarizmi, which means a procedure or a technique. Programmer commonly uses an algorithm for planning and solving the problems. An algorithm is a specific set of meaningful instructions written in a specific order for carrying out or solving a specific problem.
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Beta1) Understand the problem. The goal of any algorithm is to solve a problem. When solving an algorithm problem, it is important to understand the problem and the steps involved in solving it. This understanding will allow you to correctly follow the instructions and complete the task.
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BetaAn algorithm is a plan for solving a problem, but plans come in several levels of detail. It's usually better to start with a high-level algorithm that includes the major part of a solution, but leaves the details until later. ... For example, an algorithm that computes the area of a circle having radius 5.2 meters (formula π*5.2 2) solves a ...
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BetaAlgorithms, though often associated with digital technology, can also exist and function offline in everyday activities and processes without the need for computers or electronic devices. These offline algorithms are essentially step-by-step procedures or sets of rules designed to solve specific problems or perform tasks efficiently.
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BetaConquering stage: Now, we solve the transformed problem. Example problems: Pre-sorting based algorithms (Finding the closest pair of points, checking whether all the elements in a given array are distinct, etc.) Problem-solving using BFS and DFS Traversal. Most tree and graph problems can be solved using DFS and BFS traversal.
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BetaExample standard algorithm for addition In mathematics, a standard algorithm refers to a specific, well-defined set of steps or procedures used to solve mathematical problems of a particular type. Different places in the world use different algorithms, so every school system may teach this concept differently.
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BetaAn algorithm, whose characteristics will be discussed later, is a form that embeds the complete logic of the solution. Its formal written version is called a program, or code. Thus, algorithmic problem solving actually comes in two phases: derivation of an algorithm that solves the problem, and conversion of the algorithm into code.
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BetaFor example, the correctness of Euclid’s algorithm for computing the greatest common divisor stems from the correctness of the equality gcd (m, n) = gcd (n, m mod n) (which, in turn, needs a proof; see Problem 7 in Exercises 1.1), the simple observation that the second integer gets smaller on every iteration of the algorithm, and the fact that the algorithm stops when the second integer ...
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