ICAR-IASRI MSc and PhD (Agricultural Statistics, Computer Application, Bioinformatics) · India · ICAR-Indian Agricultural Statistics Research Institute with the IARI Graduate School
Original practice questions written to the published syllabus · not past papersOrdinary differential equations, interpolation, numerical differentiation and integration and root-finding: what AIEEA-PG Group 07 names explicitly, and what growth models, life tables and iterative estimation (Newton-Raphson for maximum likelihood) rely on.
In the exams: AIEEA-PG Group 07 Units II-III (heavy: differential equations, finite differences, interpolation, numerical integration, Newton-Raphson named); AICE-JRF Computer Application Unit 10 numerical analysis (heavy)
How our questions for ICAR-IASRI MSc and PhD spread across the units of Differential Equations, Finite Differences & Numerical Analysis. Difficulty: 12 easy, 20 medium, 2 hard.
| Calculus of finite differences and difference operators | 4 | |
| Interpolation: Newton forward and backward, Lagrange and divided differences | 4 | |
| Numerical differentiation | 4 | |
| Ordinary differential equations of first order: exact, linear and Bernoulli equations | 3 | |
| Numerical integration: trapezoidal and Simpson's rules | 3 | |
| Solution of non-linear equations: bisection and Newton-Raphson | 3 | |
| Solution of linear systems: Gaussian elimination and iterative methods | 3 | |
| Numerical solution of ODEs: Euler and Runge-Kutta methods | 3 | |
| Coordinate geometry of conics | 3 | |
| Higher-order linear equations: complementary function and particular integral | 2 | |
| Difference equations | 2 |
Choose an answer, then open the working. Each explanation says why the right answer is right and why the others are not.
A population grows as dN/dt = 0.07N. Its doubling time is about:
B. 9.9 time units
Doubling time = ln 2/r = 0.693/0.07 ≈ 9.9. 14.3 is 1/r, the mean time constant; 70 forgets to divide by the rate in per cent.
Further reading: Boyce, DiPrima and Meade, Elementary Differential Equations (2017); Burden, Faires and Burden, Numerical Analysis (2016); Hildebrand, Introduction to Numerical Analysis (1987); Thornley and France, Mathematical Models in Agriculture (2007)
The monomolecular (Mitscherlich) model dN/dt = r(K − N), used for fertiliser response, has:
C. No inflection point
Growth rate is greatest at the start and declines steadily; logistic and Gompertz are sigmoid.
Further reading: Boyce, DiPrima and Meade, Elementary Differential Equations (2017); Burden, Faires and Burden, Numerical Analysis (2016); Hildebrand, Introduction to Numerical Analysis (1987); Thornley and France, Mathematical Models in Agriculture (2007)
A particular integral of y″ + 4y = sin x is:
A. (sin x)/3
Replace D² by −1: f = −1 + 4 = 3.
Further reading: Boyce, DiPrima and Meade, Elementary Differential Equations (2017); Burden, Faires and Burden, Numerical Analysis (2016); Hildebrand, Introduction to Numerical Analysis (1987); Thornley and France, Mathematical Models in Agriculture (2007)
In Newton's forward formula, the variable p equals:
D. (x − x₀)/h
(x − xₙ)/h is used in the backward formula.
Further reading: Boyce, DiPrima and Meade, Elementary Differential Equations (2017); Burden, Faires and Burden, Numerical Analysis (2016); Hildebrand, Introduction to Numerical Analysis (1987); Thornley and France, Mathematical Models in Agriculture (2007)
The central difference approximation of f′(x) has truncation error of order:
D. h²
[f(x + h) − f(x − h)]/(2h) − f′(x) = h²f‴/6 + …
Further reading: Boyce, DiPrima and Meade, Elementary Differential Equations (2017); Burden, Faires and Burden, Numerical Analysis (2016); Hildebrand, Introduction to Numerical Analysis (1987); Thornley and France, Mathematical Models in Agriculture (2007)
Characteristic root m = 3 repeated twice gives the solution:
D. (A + Bn)3ⁿ
A repeated root needs the extra factor n.
Further reading: Boyce, DiPrima and Meade, Elementary Differential Equations (2017); Burden, Faires and Burden, Numerical Analysis (2016); Hildebrand, Introduction to Numerical Analysis (1987); Thornley and France, Mathematical Models in Agriculture (2007)
Partial pivoting in Gaussian elimination chooses as pivot:
C. The largest entry in absolute value in the column
Large pivots limit growth of rounding errors.
Further reading: Boyce, DiPrima and Meade, Elementary Differential Equations (2017); Burden, Faires and Burden, Numerical Analysis (2016); Hildebrand, Introduction to Numerical Analysis (1987); Thornley and France, Mathematical Models in Agriculture (2007)
For the same system, one Gauss–Seidel iteration from (0, 0) gives:
A. (1.1, 0.99)
x = 1.1, then y = (11 − 1.1)/10 = 0.99 using the new x.
Further reading: Boyce, DiPrima and Meade, Elementary Differential Equations (2017); Burden, Faires and Burden, Numerical Analysis (2016); Hildebrand, Introduction to Numerical Analysis (1987); Thornley and France, Mathematical Models in Agriculture (2007)
The parabola y² = 12x has focus:
D. (3, 0)
Compare with y² = 4ax: 4a = 12 gives a = 3, focus (a, 0).
Further reading: Boyce, DiPrima and Meade, Elementary Differential Equations (2017); Burden, Faires and Burden, Numerical Analysis (2016); Hildebrand, Introduction to Numerical Analysis (1987); Thornley and France, Mathematical Models in Agriculture (2007)
A fitted quadratic response surface in two fertilisers has an indefinite quadratic part. Its stationary point is:
B. A saddle point
Indefinite quadratic forms give hyperbolic contours around a saddle.
Further reading: Boyce, DiPrima and Meade, Elementary Differential Equations (2017); Burden, Faires and Burden, Numerical Analysis (2016); Hildebrand, Introduction to Numerical Analysis (1987); Thornley and France, Mathematical Models in Agriculture (2007)
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