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To evaluate the pdf at multiple values, specify x using an array.

The basic data element is a matrix, so if you need a program that manipulates array-based data it is generally fast to write and run in MATLAB (unless you.

Barasat Ke Mosham Mai Gar Se Nikal Aayasong .Com Manual And User

Matlab Manual and user guide in PDF for free Office, Programming MATLAB is a high-level language and interactive environment for numerical computation, visualization, and programming.

It started out as a matrix programming language where linear algebra programming was simple.

It can be run both under interactive sessions and as a batch job.

This tutorial gives you aggressively a gentle introduction of MATLAB programming language.

It is designed to give students fluency in MATLAB programming language.

Problem-based MATLAB examples have been given in simple and easy way to make your learning fast and effective.

After completing this tutorial you will find yourself at a moderate level of expertise in using MATLAB from where you can take yourself to next levels.

We assume you have a little knowledge of any computer programming and understand concepts like variables, constants, expression, statements, etc.

If you have done programming in any other high-level programming language like C, C or Java, then it will be very much beneficial and learning MATLAB will be like a fun for you.

To evaluate the pdfs of multiple distributions, specify mu and sigma using arrays.

If one or more of the input arguments x, mu, and sigma are arrays, then the array sizes must be the same.

Each element in y is the pdf value of the distribution specified by the corresponding elements in mu and sigma, evaluated at the corresponding element in x.

Example: -1,0,3,4 Data Types: single double mu Mean 0 (default) scalar value array of scalar values Mean of the normal distribution, specified as a scalar value or an array of scalar values.

Example: 0 1 2; 0 1 2 Data Types: single double sigma Standard deviation 1 (default) positive scalar value array of positive scalar values Standard deviation of the normal distribution, specified as a positive scalar value or an array of positive scalar values.

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