Open ank1traj opened 1 year ago
@ank1traj can i work on it
Hi @Bharadwajshivam28,
That sounds great! Thank you for expressing your interest in this issue. We welcome any contributions that can enhance the user experience of our platform. Please feel free to take the issue and share your design idea. We look forward to seeing your contributions.
Hi @Bharadwajshivam28,
That sounds great! Thank you for expressing your interest in this issue. We welcome any contributions that can enhance the user experience of our platform. Please feel free to take the issue and share your design idea. We look forward to seeing your contributions.
Thanks 👍
Hi @Bharadwajshivam28
Is there any update on this?
Hi @Bharadwajshivam28
Is there any update on this?
Can you elaborate this issue in simple words.. because I tried but I am facing problem in understanding issue.. if you can elaborate this issue in simple terms like what to do and how then I can complete it in few days
@Bharadwajshivam28 This component allows users to generate matrices of different sizes and values for testing purposes. You can specify the number of rows and columns in the matrix and the range of values that each element can take. Additionally, you can indicate whether the matrix should be sparse or dense.
For a sparse matrix, the component will generate a matrix with mostly zero elements, while for a dense matrix, it will generate a matrix with a significant number of non-zero elements. This can be helpful in testing algorithms that work differently on sparse and dense matrices.
You can also set the minimum and maximum value of the elements in the matrix. This is useful in testing functions or algorithms that have different behaviors for different value ranges. For example, you might want to test how a function handles negative values or values that are very large or very small.
okay got your point
Hi @Bharadwajshivam28
Any update on this?
Hi @Bharadwajshivam28
Any update on this?
Due to my exam i am having time issue
Generate matrices of various sizes and values based on their input parameters. The component takes input parameters such as the number of rows and columns of the matrix, the minimum and maximum value of the elements in the matrix, and whether the matrix is sparse or dense.