Medium Linear Algebra Interview Questions
Medium is where most real interview questions sit. This is the linear algebra set worth spending the most time in.
37 questions, all free to practise.
- A Cholesky diagonal entryMediumLinear AlgebraView →
- A Gram–Schmidt R entryMediumLinear AlgebraView →
- A tenth power of a matrixMediumLinear AlgebraView →
- Area of a parallelogramMediumLinear AlgebraView →
- Cheapest way to chain three productsMediumLinear AlgebraView →
- Condition numberMediumLinear AlgebraView →
- Determinant of a 3×3MediumLinear AlgebraView →
- Determinant of a compound expressionMediumLinear AlgebraView →
- Determinant of an orthogonal matrixMediumLinear AlgebraView →
- Eigenvalues of a projectionMediumLinear AlgebraView →
- Eigenvalues of a rotationMediumLinear AlgebraView →
- Growth rate of a rank-one eigenvalueMediumLinear AlgebraView →
- How large can the off-diagonal be?MediumLinear AlgebraView →
- Larger eigenvalue of a 2×2MediumLinear AlgebraView →
- Largest eigenvalue of a rank-one updateMediumLinear AlgebraView →
- Length of a projectionMediumLinear AlgebraView →
- Long-run share of a two-state chainMediumLinear AlgebraView →
- Maximize x + y on the unit circleMediumLinear AlgebraCalculusView →
- Maximum rate of increaseMediumLinear AlgebraCalculusView →
- Norm of a doubly-stochastic stationary vectorMediumLinear AlgebraStochastic ProcessesView →
- Nullity of a concrete matrixMediumLinear AlgebraView →
- Positive semidefinitenessMediumStatisticsLinear AlgebraView →
- Power iterationMediumLinear AlgebraProgramming & DSAView →
- Projecting onto a lineMediumLinear AlgebraView →
- Rank and nullity of a rotationMediumLinear AlgebraView →
- Rank–nullity dimension countMediumLinear AlgebraView →
- Recovering an eigenvector from its eigenvalueMediumLinear AlgebraView →
- Reducing a matrix power with Cayley–HamiltonMediumLinear AlgebraView →
- Singular values via AᵀAMediumLinear AlgebraView →
- Smallest value of a quadratic formMediumLinear AlgebraView →
- Spectrum of a constant-diagonal matrixMediumLinear AlgebraView →
- Spectrum of a symmetric matrixMediumStatisticsLinear AlgebraView →
- Trace of A-transpose-AMediumLinear AlgebraView →
- Trace of a productMediumLinear AlgebraView →
- Variance explained by a regressionMediumStatisticsLinear AlgebraView →
- When does the system fail to have a unique solution?MediumLinear AlgebraView →
- Why covariance matrices are PSDMediumStatisticsLinear AlgebraView →
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