## Description

**Partial Differentiation :** Function of two or more variables; Homogeneous function; Euler’s theorem; Composite functions; Implicit functions; Total derivatives; Jacobians.

**Application of Partial Differentiation :** Taylor’s and Maclaurin’s series for a function of two variables; Maxima and Minima of functions of several variables; Lagrange’s method of undetermined multipliers; Error and approximation.

**Curve Tracing :** Asymptotes, Curve Tracing of standard curves for polar and Cartesian coordinates. Curvature. Radius of Curvature in polar, Cartesian co-ordinates and parametric coordinates.

**Introduction to Multiple Integrals :** Double and Triple integral, change of order of integration change of variables. Application of double integration to find areas, application of triple integration to find volume.

**Vector Differentiation :** Scalar and vector fields; differentiation of vectors ; vector differential operators: del, gradient, divergence, curl and their physical interpretations.

**Vector Integration :** Line integrals; surface integrals and volume integrals, flux ; solenoidal and irrotational vectors; Gauss divergence theorem; Green’s theorem in plane; Stoke’s theorem (without proofs) and their applications.

**Matrices :** Vector Algebra, Matrix as a set of Vectors, Properties of Matrix, Rank of matrix; elementary operations; reduction to normal form; consistency and solution of homogenous and non homogeneous simultaneous equations; Linear dependence and independence of vectors; Eigen values and Eigen vectors Cayley Hamilton theorem(without proof) and problems, Reduction to diagonal form.