Matrices
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Mathematics & Statistics
Vector and Matrices
Interview questions on Vector and Matrices.
41 questions
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Matrices
Q2. Define the condition under which we can multiply two matrices?
Matrices
Q3. What is the Hadamard product?
Matrices
Q4. Where do we use Hadamard product?
Matrices
Q5. How is the Hadamard product different from the dot product?
Matrices
Q6. Write the properties of matrix product operations?
Matrices
Q7. Is dot product between two vectors are commutative?
Matrices
Q8. What is an identity matrix?
Matrices
Q9. Define matrix inverse?
Matrices
Q10. How to check if a matrix is a singular matrix?
Matrices
Q11. Under what conditions inverse of a matrix exists?
Matrices
Q12. What is rank of matrix and how to determine it?
Matrices
Q13. What is a full rank matrix??
Matrices
Q14. How to check if matrix is full rank?
Matrices
Q15. Why do we say that matrices are linear transformations?
Matrices
Q16. Do all matrices have an inverse? Is the inverse of a matrix always unique?
Matrices
Q17. What does norm of a vector represents?
Matrices
Q18. Explain Euclidean norm?
Matrices
Q19. When we should use $L^1$ norm instead of $L^2$ norm?
Matrices
Q20. What does max norm and unit norm depicts?
Matrices
Q21. How to measure size of a matrix?
Matrices
Q22. Can you write the dot product of two vectors in terms of their norms?
Matrices
Q23. Define following type of matrices:
- Diagonal Matrix
- Symmetric Matrix
- Orthogonal Matrix
Matrices
Q24. What is Eigen decomposition?
Matrices
Q25. Define eigenvector and eigenvalues?
Matrices
Q26. Express the eigen decomposition of square matrix $\mathbf{A}$ ?
Matrices
Q27. What is the significant to eigen-decomposition?
Matrices
Q28. Do non-square matrices have eigenvalues?
Matrices
Q29. What is the benefit of using Singular Value Decomposition(SVD) over eigenvalue decomposition?
Matrices
Q30. What is Singular Value Decomposition (SVD)?
Matrices
Q31. What is the relationship between eigen-value decomposition and SVD?
Matrices
Q32. What is trace of a matrix?
Matrices
Q33. Write the main properties of trace operator?
Matrices
Q34. What does the determinant of a matrix represent?
Matrices
Q35. What does the absolute value of the determinant depicts?
Matrices
Q36. What happens to the determinant of a matrix if we multiply one of its rows by a scalar $t×R$ ?
Matrices
Q37. A $4×4$ matrix has four eigenvalues $3, 3, 2, −1$. What can we say about the trace and the determinant of this matrix?
Matrices
Q38. Given the following matrix:
Without explicitly using the equation for calculating determinants, what can we say about this matrix’s determinant?
Matrices
Q39. What’s the difference between the covariance matrix $A^TA$ and the Gram matrix $AA^T$?
Matrices
Q40. Given $A∈R^{n×m}$ and $b∈R^n$1. Find$ x $such that:$ Ax=b$.
- When does this have a unique solution?
- Why is it when has more columns than rows, has multiple solutions?
- Given a matrix with no inverse. How would you solve the equation ? What is the pseudo inverse and how to calculate it?
Matrices