#1
7th August 2012, 11:09 AM
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Gate Mathematics by RK Kanodia
I want to know about the Graduate Aptitude Test in Engineering Mathematics by RK Kanodia so please can you give me the books of Gate Mathematics by RK Kanodia and provide me the procedure to download the books? |
#2
8th August 2012, 01:05 PM
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Re: Gate Mathematics by RK Kanodia
R. K. Kanodia is the best writer for Graduate Aptitude Test in Mathematics and these books are available also online you can purchase by giving this link:- certified-easy.com/aa.php?isbn=UOM:39015000477805&name=Databases,_imp roving_usability_and_responsiveness You can purchase from book store. |
#3
19th September 2019, 10:52 AM
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Re: Gate Mathematics by RK Kanodia
Hi buddy here I am looking for study material of Gate Mathematics by RK Kanodia so will you plz let me know from where I can do download it , if you have then will you plz provide me same here ??
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#4
19th September 2019, 10:55 AM
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Re: Gate Mathematics by RK Kanodia
As you want here I am giving bellow study material of Gate Mathematics by RK Kanodia on your demand : GATE Syllabus for Mathematics Chapter 1 Linear Algebra Finite dimensional vector spaces; Linear transformations and their matrix representations, rank; systems of linear equations, eigenvalues and eigenvectors, minimal polynomial, Cayley-Hamilton Theorem, diagonalization, Jordan-canonical form, Hermitian, Skew-Hermitian and unitary matrices; Finite dimensional inner product spaces, Gram-Schmidt orthonormalization process, self-adjoint operators, definite forms. Chapter 2 Complex Analysis Analytic functions, conformal mappings, bilinear transformations; complex integration: Cauchys integral theorem and formula; Liouvilles theorem, maximum modulus principle; Zeros and singularities; Taylor and Laurents series; residue theorem and applications for evaluating real integrals. Chapter 3 Real Analysis Sequences and series of functions, uniform convergence, power series, Fourier series, functions of several variables, maxima, minima; Riemann integration, multiple integrals, line, surface and volume integrals, theorems of Green, Stokes and Gauss; metric spaces, compactness, completeness, Weierstrass approximation theorem; Lebesgue measure, measurable functions; Lebesgue integral, Fatous lemma, dominated convergence theorem. Chapter 4 Ordinary Differential Equations First order ordinary differential equations, existence and uniqueness theorems for initial value problems, systems of linear first order ordinary differential equations, linear ordinary differential equations of higher order with constant coefficients; linear second order ordinary differential equations with variable coefficients; method of Laplace transforms for solving ordinary differential equations, series solutions (power series, Frobenius method); Legendre and Bessel functions and their orthogonal properties. Chapter 5 Algebra Groups, subgroups, normal subgroups, quotient groups and homomorphism theorems, automorphisms; cyclic groups and permutation groups, Sylows theorems and their applications; Rings, ideals, prime and maximal ideals, quotient rings, unique factorization domains, Principle ideal domains, Euclidean domains, polynomial rings and irreducibility criteria; Fields, finite fields, field extensions. Chapter 6 Functional Analysis Normed linear spaces, Banach spaces, Hahn-Banach extension theorem, open mapping and closed graph theorems, principle of uniform boundedness; Inner-product spaces, Hilbert spaces, orthonormal bases, Riesz representation theorem, bounded linear operators. Chapter 7 Numerical Analysis Numerical solution of algebraic and transcendental equations: bisection, secant method, Newton-Raphson method, fixed point iteration; interpolation: error of polynomial interpolation, Lagrange, Newton interpolations; numerical differentiation; numerical integration: Trapezoidal and Simpson rules; numerical solution of systems of linear equations: direct methods (Gauss elimination, LU decomposition); iterative methods (Jacobi and Gauss-Seidel); numerical solution of ordinary differential equations: initial value problems: Eulers method, Runge-Kutta methods of order 2. Chapter 8 Partial Differential Equations Linear and quasilinear first order partial differential equations, method of characteristics; second order linear equations in two variables and their classification; Cauchy, Dirichlet and Neumann problems; solutions of Laplace, wave in two dimensional Cartesian coordinates, Interior and exterior Dirichlet problems in polar coordinates; Separation of variables method for solving wave and diffusion equations in one space variable; Fourier series and Fourier transform and Laplace transform methods of solutions for the above equations. Chapter 9 Topology Basic concepts of topology, bases, subbases, subspace topology, order topology, product topology, connectedness, compactness, countability and separation axioms, Urysohns Lemma. Chapter 10 Probability and Statistics Probability space, conditional probability, Bayes theorem, independence, Random variables, joint and conditional distributions, standard probability distributions and their properties (Discrete uniform, Binomial, Poisson, Geometric, Negative binomial, Normal, Exponential, Gamma, Continuous uniform, Bivariate normal, Multinomial), expectation, conditional expectation, moments; Weak and strong law of large numbers, central limit theorem; Sampling distributions, UMVU estimators, maximum likelihood estimators; Interval estimation; Testing of hypotheses, standard parametric tests based on normal, , , distributions; Simple linear regression. Chapter 11 Linear Programming Linear programming problem and its formulation, convex sets and their properties, graphical method, basic feasible solution, simplex method, big-M and two phase methods; infeasible and unbounded LPPs, alternate optima; Dual problem and duality theorems, dual simplex method and its application in post optimality analysis; Balanced and unbalanced transportation problems, Vogels approximation method for solving transportation problems; Hungarian method for solving assignment problems. |