Difficulty distribution
How the classified questions are distributed by difficulty.
5questions
Easy
5
100%
Linear Algebra - Engineering Mathematics - Agricultural Engineering Previous Year Questions
Practice Linear Algebra - Engineering Mathematics - Agricultural Engineering previous year questions organised from real papers, with year-wise coverage and clear topic navigation.
4Papers
4Years
5Questions
1Topics
Linear Algebra question pattern
Every graph below is calculated only from this selection.
Questions by year
Year-wise coverage for Linear Algebra. Each bar uses a separate theme-derived color.
Question type distribution
MCQ, numerical, multiple-select and other formats found in these papers.
5questions
MCQ
5
100%
Subject weightage
Top subjects by unique question coverage.
Most asked topics
Top topics across the included previous year papers.
Subtopic coverage
Top subtopics inside this exact selection.
Paper coverage
Question coverage for the most populated papers. Every active PYP paper remains listed below.
Included previous year papers
Newest papers appear first. Sort by year, question coverage or name.
| Paper | Year / session | Questions in this view | Open |
|---|---|---|---|
| Agricultural Engineering (AG) 2026 | 2026 | 2 | View paper |
| Agricultural Engineering (AG) 2010 | 2010 | 1 | View paper |
| Agricultural Engineering (AG) 2009 | 2009 | 1 | View paper |
| Agricultural Engineering (AG) 2008 | 2008 | 1 | View paper |
All Linear Algebra previous year questions
Practice every matching question in batches of 20, with every available option.
2008 · Agricultural Engineering · Engineering Mathematics · Linear Algebra
Agricultural Engineering (AG) 2008
2009 · Agricultural Engineering · Engineering Mathematics · Linear Algebra
Agricultural Engineering (AG) 2009
2010 · Agricultural Engineering · Engineering Mathematics · Linear Algebra
Agricultural Engineering (AG) 2010
A system of equations represented as
\( \begin{bmatrix} 1 & -1 & 2 \\ 2 & 1 & -4 \\ 1 & 3 & 1 \end{bmatrix} \begin{bmatrix} x \\ y \\ z \end{bmatrix} = \begin{bmatrix} 4 \\ 1 \\ 3 \end{bmatrix} \) is
\( \begin{bmatrix} 1 & -1 & 2 \\ 2 & 1 & -4 \\ 1 & 3 & 1 \end{bmatrix} \begin{bmatrix} x \\ y \\ z \end{bmatrix} = \begin{bmatrix} 4 \\ 1 \\ 3 \end{bmatrix} \) is
2026 · Agricultural Engineering · Engineering Mathematics · Linear Algebra
Agricultural Engineering (AG) 2026
Two square matrices \( \mathbf{A} \) and \( \mathbf{B} \) of the same order are such that, \( \det[\mathbf{A} \cdot \mathbf{B}] = -80 \) and \( \det[\mathbf{A}] = 5 \). Here, \( \mathbf{A} \cdot \mathbf{B} \) is the product of \( \mathbf{A} \) and \( \mathbf{B} \). The value of \( \det[\mathbf{B}^T] \) is
2026 · Agricultural Engineering · Engineering Mathematics · Linear Algebra
Agricultural Engineering (AG) 2026
The determinant of a 2 × 2 square matrix is 1.6. If the sum of the eigen values is −2.8, the eigen values are