| Paper I 
 Section A
 
 Linear Algebra: Vector, space, linear dependance and independance, subspaces,
 bases, dimensions. Finite dimensional vector spaces. Eigenvalues and eigenvectors,
 eqivalence, congruences and similarity, reduction to canonical form, rank,
 orthogonal, symmetrical, skew symmetrical, unitary, hermitian, skew-hermitian
 formstheir eigenvalues.
 
 Calculus: Lagrange's method of multipliers, Jacobian. Riemann's definition of definite integrals, indefinite integrals, infinite and improper integrals,
 beta and gamma functions. Double and triple integrals (evaluation techniques
 only). Areas, surface and volumes and centre of gravity.
 Analytic Geometry: Sphere, cone, cylinder, paraboloid, ellipsoid, hyperboloid of one and two sheets and their properties.
 Section B
 Ordinary Differential Equations: Clariaut's equation, singular solution.
 Higher order linear equations, with constant coefficients, complementary
 function and particular integral, general solution, Euler-Cauchy equation.
 Second order linear equations with variable coefficients, determination
 of complete solution when one solution is known, method of variation of
 parameters.
 Dynamics, Statics and Hydrostatics: You can skip this entire section, if you have prepared other sections well.
 Vector Analysis: Triple products, vector identities and vector equations. Application to Geometry: Curves in space, curvature and torision. Serret-Frenet's
 formulae, Gauss and Stokes' theorems, Green's identities.
 ***************************************************************** Paper II 
 Section A
 
 Algebra: Normal subgroups, homomorphism of groups quotient groups basic
 isomorophism theorems, Sylow's group, principal ideal domains, unique
 factorisation domains and Euclidean domains. Field extensions, finite
 fields.
 Real Analysis: Riemann integral, improper integrals, absolute and conditional convergence of series of real and complex terms, rearrangement of series.
 Uniform convergence, continuity, differentiability and integrability for
 sequences and series of functions. Differentiation of functions of several
 variables, change in the order of partial derivatives, implicit function
 theorem, maxima and minima. Multiple integrals.
 Complex Analysis: You can skip this entire section, if you have prepared other sections well.
 Linear Programming: Basic solution, basic feasible solution and optimal solution, Simplex method of solutions. Duality. Transportation and assignment
 problems. Travelling salesman problems.
 Section B 
 Partial differential equations: Solutions of equations of type dx/p=dy/q=dz/r;
 orthogonal trajectories, pfaffian differential equations; partial differential
 equations of the first order, solution by Cauchy's method of characteristics;
 Char-pit's method of solutions, linear partial differential equations
 of the second order with constant coefficients, equations of vibrating
 string, heat equation, laplace equation.
 Numerical Analysis and Computer programming: Numerical methods, Regula-Falsi and Newton-Raphson methods Numerical integration: Simpson's one-third
 rule, tranpesodial rule, Gaussian quardrature formula. Numerical solution
 of ordinary differential equations: Euler and Runge Kutta-methods.
 Computer Programming: Binary system. Arithmetic and logical operations on numbers. Bitwise operations. Octal and Hexadecimal Systems. Convers-ion
 to and from decimal Systems.
 Mechanics and Fluid Dynamics: D'Alembert's principle and Lagrange' equations, Hamilton equations, moment of intertia, motion of rigid bodies in two
 dimensions.
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