I am bringing your old friend Newton (and Raphson too), whom you loved a lot during your school days. Yes, I am rescuing you from that situation if the day comes. But what if you are in a place where electricity is not available and your gadgets are dead? Yes, that can be done in a straight forward way. We have built-in functions (or commands/buttons) in our calculators, computers, programming languages, mobiles and everywhere to calculate the square root. Whether it is finding the square root of a number or square root of a sum of squares, a function (or command) to find the square root of a number is needed. You can’t do these without one thing - square root. Given the dimension of a door, you need to know how big plywood can be passed through the door. Here we discuss the working and uses of square root in Matlab with examples.Given a number of total students in a school and you want to know if all the students fit in an assembly ground, you need to know how many lines need to be formed at a minimum. This is a guide to Square Root in Matlab. So, it is an essential feature in all the mathematical domains. They are widely used in solving the solutions of any quadratic equations, machine learning topics like calculating standard deviation and variance. Square roots are widely used in Matlab for various business requirements. The unit digit of an element cannot be 3,2,8 or 7 to be a perfect square. Here 25,9,47,81 are all perfect squares of odd numbers and the square root of those numbers are 5,3,7,9 which are also odd numbers. The square root of any odd number that is a perfect square should always be odd. The multiplication of square roots of the same number results in a positive integer while square roots of the number can also be multiplied and provide the output. Here 16, 36, 64 and 100 are all even numbers that are a perfect square and the square root of those numbers are 4,6,8 and 10 which are also even numbers. The square root of any even number that is a perfect square should always be even. There are various properties of a square root in Matlab which should be noted: The input arguments can be a matrix, array, vector, scalar, or a multi-dimensional array and they should be positive and real integers. In the above example, it produces the square root of each element in a matrix. The output size and input size should be the same if we use realsqrt (). So, if we want to view the result of a negative or complex number than it is preferable to use sqrt () function. Unlike sqrt () function, it gives error messages when we pass input as a negative or complex number. If we want to find the square root of only positive integers in an array, then we can use realsqrt () function in Matlab. Some operations differ in Matlab as compared to IEEE standard like the square root of negative zero is 0 in Matlab while it is -0 in IEEE, square root of values less than zero results in a complex number in Matlab while the same is not available in IEEE. In the above two examples, we see that the range consists of negative and positive numbers, so the output of it is a complex number. We know that is the input of an array is negative than it results in a complex number. If the input is complex or negative in nature, then it results in a complex number. They can also be positive, negative or complex in nature. The input arguments that are used in the function can be scalar, vector, array or multi-dimensional array. In Matlab, we use the sqrt () function to find the square root of a number or each element defined in an array. Matlab performs all mathematical functions, so there are also methods to find the square root of a number. Hadoop, Data Science, Statistics & others Working and Uses of Square Root in Matlab with Examples
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