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Best Books for GATE Mathematics & Aptitude
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GATE Non Tech Syllabus(Maths, Aptitude & English)
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Aptitude
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L1. Time, Speed Distance
137:00
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L2 Time and Work
127:00
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L3 Percentages & its applications part 1
100:00
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L4 Percentage & its applications Part 2
120:00
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L5 Number systems part 1
139:00
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L6 Number systems part 2
137:00
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L7 Number systems part 3
126:00
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L8 Permutation & Combination part 1
153:00
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L9 Permutation & Combination part 2
137:00
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L10 Probability Part 1
130:00
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L11 Probability part 2
78:00
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Linear Algebra
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L1 Linear Algebra
20:00
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L2 LA Types of Matrix
30:00
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L3 LA Numerical based on formation of matrix
28:00
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L4 LA Product of Matrices
30:00
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L5 LA Transpose of a Matrix
19:00
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L6 LA Determinant of a Matrix
42:00
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L7 Numerical Based on Determinants
43:00
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L8 Adjoint and Inverse of a Matrix
27:00
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L9 Types of Square Matrix
61:00
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L10 Rank of a Matrix
26:00
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L11 Properties of Rank of a Matrix
25:00
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L12 System of Linear Equation
45:00
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L13 Characteristics Equation & Eigen values
20:00
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L14 Properties of Eigen of Values
40:00
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L15 Cayley Hamilton Theorem
19:00
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L16 Eigen Vectors
57:00
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L17 Diagonalization of a matrix
13:00
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L18 Basis of a vector space
12:00
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Gate Verbal Ability: English Grammar
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Gate ME Verbal Ability: Sentence Completion
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Gate ME Verbal Ability: Word Groups
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Gate ME Verbal Ability: Analogies
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Gate ME Verbal Ability: Critical Reasoning & Verbal deduction
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GATE Numerical Reasoning
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GATE Numerical Computation
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GATE Numerical Estimation
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GATE- DETERMINANT OF A MATRIX , PROPERTIES OF DETERMINANT , ELEMENTARY TRANSFORMATIONS , ADJOINT AND INVERSE OF A MATRIX .
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GATE BASICS OF MATRIX , MATRIX MULTIPLICATION , TYPES OF SQUARE MATRIX AND THEIR PROPERTIES , TRANSPOSE OF A MATRIX AND ITS PROPERTIES
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GATE RANK OF A MATRIX , SYSTEM OF LINEAR EQUATIONS (HOMOGENOUS AND NON HOMOGENOUS )
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GATE– EIGEN VALUES , EIGEN VECTORS AND CAYLEY HAMILTON THEOREM
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Linear Algebra Full Length
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Differential Equation
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L1 Differential Equation Introduction
14:00
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L2 Order & Degree of DE
20:00
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L3 Linear & Non Linear DE
11:00
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L4 Formation of DE
19:00
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L5 Solution of ordinary DE
12:00
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L6 Solution of homogeneous DE
54:00
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L7 Soln of non homogeneous DE
64:00
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L8 Cauchy's linear DE
22:00
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L9 1st order & 1st degree DE
23:00
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L10 Linear Differential Equation
37:00
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L11 Exact Differential Equation
50:00
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L12 Homogeneous Differential Equation
9:00
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L13 Basics Partial of Differential Equation
21:00
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L14 Classification of partial DE
19:00
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L15 Jacobians
10:00
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L16 Euler's Theorem of Homogeneous Function
30:00
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L17 Method of seperation of variables
21:00
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GATE– Variable separable form , Linear differential equation , Exact differential equation , Non exact Differential equation , Homogenous differential equation
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GATE- Order and Degree of Differential equation , Formation of Differential Equation , Solution of Homogenous and Non-Homogenous Differential Equation , Cauchy’s linear Differential Equation
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Differential Calculus
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L1 Differential Calculas Introduction
16:00
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L2 Limits
57:00
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L3 Continuity
48:00
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L4 Differentiability
39:00
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L5 Mean Value Theorems
40:00
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L6 Increasing & decreasing function
21:00
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L7 Minima & Maxima with 1 Independent Variable
55:00
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L8 Minima & Maxima with 2 independent variable
42:00
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L9 Limits & Series Expansion
51:00
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Integral Calculus
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L1 Integral Calculus Introduction
25:00
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L2 Definite Integrals
85:00
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L3 Special Function for Single Integral
54:00
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L4 Multiple integral Double & Triple integral
78:00
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L5 Application of Integral Calculus
93:00
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Vector Calculus
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L1 Vector Calculas Introduction
40:00
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L2 Vector Calculus
58:00
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L3 Vector differential operator
18:00
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L4 Gradient, Divergence, curl & Directional derivative
83:00
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L5 Vector Identities
29:00
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L6 Vector Integral Calculas
114:00
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Complex Variables
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L1 Complex Variables
75:00
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L2 Complex Variables Analytic Function
56:00
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L3 Complex Variables Milne Thomson's method
16:00
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L4 Complex Variables Complex integrals
20:00
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L5 Complex Variables Residue & Cauchy's residue theorem
79:00
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L6 Complex Variables Complex series expansion
63:00
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Probability and Statistics
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L1 Probability and Statistics GATE Previous Year Questions Class 1
133:00
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L2 Conditional Probability Probability Class 2
33:00
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L3 Total Probability and Baye's Theorem Probability Class 3
34:00
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L4 Random Variable Probability Class 4
72:00
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L5 Binomial Distribution
19:00
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L6 Poisson Distribution
25:00
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L7 Normal distribution
35:00
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L8 Exponential and Uniform Distribution
21:00
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L9 Mean Mode and Median
43:00
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L10 Correlation & Regression
57:00
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L11. Skewness Coefficient
21:00
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Maths Remaining Topics
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L1 Numerical Methods
82:00
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L2 Numerical Solution of Differential Equation
59:00
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L3 Numerical Solution of integration, Trapezoidal Rule
40:00
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L4 Laplace Transform
93:00
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L5 Fourier Series GATE
32:00
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GATE- PROBABILITY - RANDOM VARIABLES, EXPONENTIAL DISTRIBUTION, UNIFORM DISTRIBUTION, MEAN, MODE, MEDIAN, SKEWNESS, CORELATION AND REGRESSION.
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GATE- Probability I
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GATE- Probability II
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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)
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GATE – Integral Calculus :- Definite Integrals , Special functions , Multiple integrals , Change of order of integration , Application of Integration
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GATE– LIMITS AND SERIES EXPANSION , CONTINUITY , DIFFERENTIABILITY , MINIMA AND MAXIMA , MEAN VALUE THEOEMS
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GATE Probability - BASICS OF PROBABILITY , CONDITIONAL PROBABILITY , TOTAL PROBILITY , BAYE’S THEOREM , BINOMIAL DISTRIBUTION , POISSON DISTRIBUTION , NORMAL DISTROBUTION.
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Numerical Methods GATE
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2027 GATE Update Coming Soon!
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