Booster Test Mathematics

Booster – Chapter 1
Ch 1 Relations and Functions
1
Introduction and Basic Concepts
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2
Types of Relations
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3
Types of Functions
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4
Composition and Invertibility
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5
Advanced Concepts and Exercises
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Ch 2 Inverse Trigonometric Functions
1
Inverse Trigonometric Functions
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2
Inverse Sin and Inverse Cosine Functions
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3
Properties of Inverse Trigonometric Functions
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4
Applications and Identities of Inverse Trigonometric Functions
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5
Advanced Applications of Inverse Trigonometric Functions
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Ch 3 Matrices
1
Introduction to Matrices
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2
Matrix Fundamentals
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3
Types of Matrices
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4
Equality of Matrices
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5
Operations on Matrices
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Ch 4 Determinants
1
Queue Fundamentals
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2
Queue Operations
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3
Queue Implementation (Python)
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4
Deque Concepts
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5
Deque Implementation (Python)
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Ch 5 Continuity and Differentiability
1
Continuity Fundamentals
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2
Continuity Analysis & Functions
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3
Algebra of Continuous Functions
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4
Differentiability Concepts
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5
Advanced Differentiation
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Ch 6 Application of Derivatives
1
Rate of Change Applications
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2
Increasing and Decreasing Functions
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3
Maxima and Minima Concepts
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4
Local Maxima and Minima
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5
Second Derivative and Advanced Tests
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Ch 7 Integrals
1
Introduction & Basics
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2
Integration as Inverse Process
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3
Properties of Indefinite Integrals
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4
Methods of Integration
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5
Special Integrals & Standard Forms
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Ch 8 Application of Integrals
1
Introduction & Data Handling
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2
File System
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3
Database Management System
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4
Relational Data Model
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5
Keys in Relational Database
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Ch 9 Differential Equations
1
Basic Concepts of Differential Equations
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2
Solutions of Differential Equations
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3
Variable Separable Method
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4
Homogeneous Differential Equations
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5
Linear Differential Equations
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Ch 10 Vector Algebra
1
Fundamentals of Vectors
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2
Types and Properties of Vectors
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3
Vector Addition and Laws
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4
Multiplication and Components
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5
Advanced Vector Operations
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Ch 11 Three Dimensional Geometry
1
THREE DIMENSIONAL GEOMETRY — Foundations
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2
Direction Ratios and Cosines
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3
Equation of a Line in Space
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4
Angle Between Lines
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5
Shortest Distance in Space
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Ch 12 Linear Programming
1
Introduction and Concepts
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2
Mathematical Formulation
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3
Graphical Method
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4
Optimal Solutions and Theorems
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5
Applications and Examples
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Ch 13 Probability
1
Conditional Probability
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2
Multiplication Theorem
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3
Independent Events
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4
Bayes’ Theorem
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5
Total Probability & Distribution Basics
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