|
Best Books for GATE Mathematics & Aptitude
|
|
|
GATE 2024 Non Tech Syllabus(Maths, Aptitude & English)
|
|
|
Gate Verbal Ability: English Grammar
|
|
|
Gate ME Verbal Ability: Sentence Completion
|
|
|
Gate ME Verbal Ability: Word Groups
|
|
|
Gate ME Verbal Ability: Analogies
|
|
|
Gate ME Verbal Ability: Critical Reasoning & Verbal deduction
|
|
|
GATE Numerical Reasoning
|
|
|
GATE Numerical Computation
|
|
|
GATE Numerical Estimation
|
|
|
L1 Linear Algebra
(20:00)
|
|
|
L2 LA Types of Matrix
(30:00)
|
|
|
L3 LA Numerical based on formation of matrix
|
|
|
L4 LA Product of Matrices
(30:00)
|
|
|
L5 LA Transpose of a Matrix
(19:00)
|
|
|
L6 LA Determinant of a Matrix
(42:00)
|
|
|
L7 Numerical Based on Determinants
(43:00)
|
|
|
L8 Adjoint and Inverse of a Matrix
(27:00)
|
|
|
L9 Types of Square Matrix
(61:00)
|
|
|
L10 Rank of a Matrix
(26:00)
|
|
|
L11 Properties of Rank of a Matrix
(25:00)
|
|
|
L12 System of Linear Equation
(45:00)
|
|
|
L13 Characteristics Equation & Eigen values
(20:00)
|
|
|
L14 Properties of Eigen of Values
(40:00)
|
|
|
L15 Cayley Hamilton Theorem
(19:00)
|
|
|
L16 Eigen Vectors
(57:00)
|
|
|
L17 Diagonalization of a matrix
(13:00)
|
|
|
L18 LA Basis of a vector space (LA Last Lesson)
|
|
|
GATE- DETERMINANT OF A MATRIX , PROPERTIES OF DETERMINANT , ELEMENTARY TRANSFORMATIONS , ADJOINT AND INVERSE OF A MATRIX .
|
|
|
GATE BASICS OF MATRIX , MATRIX MULTIPLICATION , TYPES OF SQUARE MATRIX AND THEIR PROPERTIES , TRANSPOSE OF A MATRIX AND ITS PROPERTIES
|
|
|
GATE Linear Algebra
|
|
|
GATE RANK OF A MATRIX , SYSTEM OF LINEAR EQUATIONS (HOMOGENOUS AND NON HOMOGENOUS )
|
|
|
GATE– Variable separable form , Linear differential equation , Exact differential equation , Non exact Differential equation , Homogenous differential equation
|
|
|
GATE- Order and Degree of Differential equation , Formation of Differential Equation , Solution of Homogenous and Non-Homogenous Differential Equation , Cauchy’s linear Differential Equation
|
|
|
GATE– EIGEN VALUES , EIGEN VECTORS AND CAYLEY HAMILTON THEOREM
|
|
|
EIGEN VALUES , EIGEN VECTORS AND CAYLEY HAMILTON THEOREM
|
|
|
GATE– EIGEN VALUES , EIGEN VECTORS AND CAYLEY HAMILTON THEOREM
|
|
|
Differential Equation
|
|
|
|
L1 Differential Equation Introduction
14:00
|
|
|
|
L2 Order & Degree of DE
20:00
|
|
|
|
L3 Linear & Non Linear DE
11:00
|
|
|
|
L4 Formation of DE
19:00
|
|
|
|
L5 Solution of ordinary DE
12:00
|
|
|
|
L6 Solution of homogeneous DE
54:00
|
|
|
|
L7 Soln of non homogeneous DE
64:00
|
|
|
|
L8 Cauchy's linear DE
22:00
|
|
|
|
L9 1st order & 1st degree DE 1
23:00
|
|
|
|
L10 Linear Differential Equation
37:00
|
|
|
|
L11 Exact Differential Equation
50:00
|
|
|
|
L12 Homogeneous Differential Equation
9:00
|
|
|
|
L13 Basics Partial of Differential Equation
21:00
|
|
|
|
L14 Classification of partial DE
19:00
|
|
|
|
L15 Jacobians
10:00
|
|
|
|
L16 Euler's Theorem of Homogeneous Function
30:00
|
|
|
|
L17 Method of seperation of variables
21:00
|
|
|
Differential Calculas
|
|
|
|
L1. Differential Calculas Introduction
16:00
|
|
|
|
L2. Limits
57:00
|
|
|
|
L3. Continuity
48:00
|
|
|
|
L4. Differentiability
39:00
|
|
|
|
L5. Mean Value Theorems
40:00
|
|
|
|
L6. Increasing & Decreasing Function
21:00
|
|
|
|
L7. Minima & Maxima with 1 Independent Variable
55:00
|
|
|
|
L8. Minima & Maxima with 2 independent variable
42:00
|
|
|
|
L9. Limits & Series Expansion
51:00
|
|
|
Aptitude
|
|
|
|
L1 Data Interpretation
5:00
|
|
|
|
L2 Aptitude Bar Graph
19:00
|
|
|
Integral Calculus
|
|
|
|
L1. Integral Calculus Introduction
25:00
|
|
|
|
L2. Definite Integrals
85:00
|
|
|
|
L3. Special Function for Single Integral
54:00
|
|
|
|
L4. Multiple integral Double & Triple integral
78:00
|
|
|
|
L5. Application of Integral Calculus
93:00
|
|
|
Vector Calculus
|
|
|
|
L1. Vector Calculus Introduction
39:00
|
|
|
|
L2. Vector Calculus
58:00
|
|
|
|
L3. Vector differential operator
18:00
|
|
|
|
L4. Gradient, Divergence, curl & Directional derivative
83:00
|
|
|
|
L5. Vector Identities
29:00
|
|
|
|
L6. Vector Integral Calculus
114:00
|
|
|
Complex Variables
|
|
|
|
L1. Complex Variables
75:00
|
|
|
|
L2. Complex Variables(Analytic Function)
56:00
|
|
|
|
L3. Complex Variables(Milne Thomson's Method)
16:00
|
|
|
|
L4. Complex Variables(Complex Integrals)
20:00
|
|
|
|
L5. Complex Variables(Residue & Cauchy's Residue Theorem)
79:00
|
|
|
|
L6. Complex Variables(Complex series expansion)
63:00
|
|
|
GATE- PROBABILITY - RANDOM VARIABLES, EXPONENTIAL DISTRIBUTION, UNIFORM DISTRIBUTION, MEAN, MODE, MEDIAN, SKEWNESS, CORELATION AND REGRESSION.
|
|
|
GATE- Probability I
|
|
|
GATE- Probability II
|
|
|
GATE– VECTOR CALCULUS (PRODUCT OF VECTORS , VECTOR DIFFERENTIAL OPERATOR , GRADIENT , DIVERGENCE AND CURL , VECTOR IDENTITIES , LINE INTEGRAL , SURFACE INTEGRAL , TRIPLE INTEGRAL , STOKE’S THEOREM , GAUSS DIVERGENCE THEOREM , GREEN’S THEOREM)
|
|
|
GATE – Integral Calculus :- Definite Integrals , Special functions , Multiple integrals , Change of order of integration , Application of Integration
|
|
|
GATE– LIMITS AND SERIES EXPANSION , CONTINUITY , DIFFERENTIABILITY , MINIMA AND MAXIMA , MEAN VALUE THEOEMS
|
|
|
Probability & Statistics
|
|
|
|
L1 Probability and Statistics GATE Previous Year Questions
133:00
|
|
|
|
L2 Conditional Probability Probability
33:00
|
|
|
|
L3. Total Probability and Baye's Theorem Probability
34:00
|
|
|
|
L4. Random Variable Probability
72:00
|
|
|
|
L5. Binomial Distribution
19:00
|
|
|
|
L6. Poisson distribution
25:00
|
|
|
|
L7. Normal distribution
35:00
|
|
|
|
L8. Exponential and Uniform Distribution
21:00
|
|
|
|
L8. Mean mode and median
43:00
|
|
|
|
L9. Skewness Coefficient
21:00
|
|
|
|
L10. Correlation & Regression
57:00
|
|
|
GATE Probability - BASICS OF PROBABILITY , CONDITIONAL PROBABILITY , TOTAL PROBILITY , BAYE’S THEOREM , BINOMIAL DISTRIBUTION , POISSON DISTRIBUTION , NORMAL DISTROBUTION.
|
|
|
Numerical Methods GATE
|
|
|
Mathematics Remaining Topics
|
|
|
|
L1. Numerical Methods
82:00
|
|
|
|
L2. Numerical Solution of Differential Equation
59:00
|
|
|
|
L3. Numerical Solution of integration, Trapezoidal Rule
40:00
|
|
|
|
L4. Laplace Transform
93:00
|
|
|
|
L5. Fourier Series GATE
32:00
|
|
|
Aptitude
|
|
|
|
L1. Time, Speed Distance
137:00
|
|
|
|
L2.Time and Work
127:00
|
|
|
|
L3. Percentages & its applications part 1
100:00
|
|
|
|
L4. Percentage & its applications Part 2
120:00
|
|
|
|
L5. Number systems part 1
139:00
|
|
|
|
L6. Number systems part 2
137:00
|
|
|
|
L7. Number systems part 3
126:00
|
|
|
|
L8. Permutation & Combination part 1
153:00
|
|
|
|
L9. Permutation & Combination part 2
137:00
|
|
|
|
L10. Probability Part 1
130:00
|
|
|
|
L11. Probability part 2
|
|