In a binary search algorithm, typically log(n) comparisons are required to find a specific element in a sorted array, where n is the number of elements in the array.
The maximum number of comparisons required in a binary search algorithm to find a specific element in a sorted array is log(n), where n is the number of elements in the array.
In a binary search algorithm, typically log(n) comparisons are made when searching for a specific element in a sorted array, where n is the number of elements in the array.
Yes, an algorithm is a step-by-step procedure for solving a problem. It typically involves a series of instructions that can be followed to achieve a specific goal or outcome.
The average case complexity of an algorithm refers to the expected time or space required to solve a problem under typical conditions. It is important to analyze this complexity to understand how efficient the algorithm is in practice.
In computer science, a problem is a task or challenge that needs to be solved, while an algorithm is a step-by-step procedure for solving that problem. Algorithms are used to solve specific problems efficiently and accurately in computer science. The relationship between a problem and an algorithm is that an algorithm is designed to solve a specific problem by providing a systematic approach to finding a solution.
The maximum number of comparisons required in a binary search algorithm to find a specific element in a sorted array is log(n), where n is the number of elements in the array.
In a binary search algorithm, typically log(n) comparisons are made when searching for a specific element in a sorted array, where n is the number of elements in the array.
You can represent an algorithm by three different ways: 1. Pseudo Code 2. Structured flow charts 3. Actual code
An algorithm is a instruction for solving a problem. It is typically illustrated using prose, pseudo code or flowcharts, but other methods exist. The algorithm is the "here's how it's going to work" part of the solution. An implementation (of an algorithm) is a specific expression of this algorithm, using a specific programming language or any other suitable means. The implementation is the "here's how I've done it" part of the solution.
Yes, an algorithm is a step-by-step procedure for solving a problem. It typically involves a series of instructions that can be followed to achieve a specific goal or outcome.
The average case complexity of an algorithm refers to the expected time or space required to solve a problem under typical conditions. It is important to analyze this complexity to understand how efficient the algorithm is in practice.
No, the complexity of searching in a database is typically not logarithmic. It is often linear or even higher, depending on the specific search algorithm and the size of the database.
An algorithm is just a description of a series of steps used to solve a specific problem.
Pseudocode consists of short readable and formally-styled natural language used to explain specific tasks within a program's algorithm while an Algorithm is a set of instructions used to solve a particular problem.
The question is not specific enough. There are thousands upon thousands of algorithms - not just one. So we have no way of knowing which algorithm you are talking about!
Algorithm
A program is a detailed set of instructions for a computer to carry out, whle an algorithm is a detailed sequence of steps for carrying out a process.