Post Graduate Snatakottar Pravesh Pariksha Ganit

Many Students dreams to pursue their Post Graduate Degree from prestigious educational institutes and for the last few years' most of the Central and State universities are conducting their entrance exams for students intake into their PG Courses. Applying in more than one college is fair. The only thing to take into consideration is to prepare from the right study resource for acing various entrance exams. The revised version of Post Graduate Entrance Exam Mathematics is a one-stop solution for those who are preparing for the Entrance Exams to pursue M.Sc. It has 43 chapters which cover the complete theory of Mathematics based on the latest test pattern of different universities. Each chapter is coupled with practice materials for enhancing conceptual clarity. With more than 1600 objective questions and 5 Practice Sets for complete examination practice it is a highly useful resource for PG Entrance in Science. It enables the aspirants to score high in their exams and helps them to move one step ahead towards the goal of their life. TOC -Set Theory Matrices Trigonometry Group Theory Ring Integral Domain and Field Vector Space Inner Product Space Linear Transformation Limits and Continuity Differentiation and Successive Differentiation Applications of Derivatives Rolle’s Taylor’s and Lagrange’s Theorems Partial and Total Differentiation Functions of Several Variables Jacobians Curve Tracing Indefinite Integrals Definite Integral and Its Applications Multiple Integration Beta and Gamma Functions Ordinary Differential Equation Partial Differential Equation Legendre and Bessel Functions Laplace and Inverse Laplace Transformations Fourier Transformation Complex Analysis Conformal Mapping Complex Integration and Calculus of Residue Sequence and Series Summation of Series Riemann Integration Improper Integral Vectors and their Multiple Products Vector Differentiation and Integration Three Dimensional Coordinate Geometry Measures of Central Tendency and Dispersion Probability Probability Distribution Correlation and Regression Linear Programming Problem Dynamics Statics Numerical Analysis Practice Sets (1-5)