# RD Sharma Class 12 Mathematics Solutions

RD Sharma Class 12 Solutions : RD Sharma Class 12 book conatins a large number of well - graded solved examples. New illustrative examples and problems have been added to the exercises in each chapter. In each chapter, all concepts and definitions have been discussed in detail in a lucid manner and have also been explained with suitable illustrative examples.

#### RD Sharma Class 12 Solution [Online]

• Chapter 1 : Relations
• Chapter 2 : Functions
• Chapter 3 : Binary Operations
• Chapter 4 : Inverse Trignometric Functions
• Chapter 5 : Algebra of Matrices
• Chapter 6 : Determinants
• Chapter 7 : Adjoint and Inverse of a Matrix
• Chapter 8 : Solution of Simultaneous Linear Equations
• Chapter 9 : Continuity
• Chapter 10 : Differentiability
• Chapter 11 : Differentiation
• Chapter 12 : Higher Order Derivatives
• Chapter 13 : Derivative as a Rate Measure
• Chapter 14 : Differentials, Errors and Approximations
• Chapter 15 : Mean Value Theorem
• Chapter 16 : Tangents and Normals
• Chapter 17 : Increasing and Decreasing Functions
• Chapter 18 : Maxima and Minima
• Chapter 19 : Indefinite Integrals
• Chapter 20 : Definite Integrals
• Chapter 21 : Area of Bounded Regions
• Chapter 22 : Differential Equations
• Chapter 23 : Algebra of Vectors
• Chapter 24 : Scalar or Dot Product
• Chapter 25 : Vector or Cross Product
• Chapter 26 : Scalar Triple Product
• Chapter 27 : Direction Cosines and Direction Ratios
• Chapter 28 : Straight line in Space
• Chapter 29 : The Plane
• Chapter 30 : Linear Programming
• Chapter 31 : Probablity
• Chapter 32 : Mean and Variance of a random varibale
• Chapter 33 : Binomial Distribution

#### RD Sharma Class 12 Math Solution [PDF]

• Chapter 1 : Relations
• Chapter 2 : Functions
• Chapter 3 : Binary Operations
• Chapter 4 : Inverse Trignometric Functions
• Chapter 5 : Algebra of Matrices
• Chapter 6 : Determinants
• Chapter 7 : Adjoint and Inverse of a Matrix
• Chapter 8 : Solution of Simultaneous Linear Equations
• Chapter 9 : Continuity
• Chapter 10 : Differentiability
• Chapter 11 : Differentiation
• Chapter 12 : Higher Order Derivatives
• Chapter 13 : Derivative as a Rate Measure
• Chapter 14 : Differentials, Errors and Approximations
• Chapter 15 : Mean Value Theorem
• Chapter 16 : Tangents and Normals
• Chapter 17 : Increasing and Decreasing Functions
• Chapter 18 : Maxima and Minima
• Chapter 19 : Indefinite Integrals
• Chapter 20 : Definite Integrals
• Chapter 21 : Area of Bounded Regions
• Chapter 22 : Differential Equations
• Chapter 23 : Algebra of Vectors
• Chapter 24 : Scalar or Dot Product
• Chapter 25 : Vector or Cross Product
• Chapter 26 : Scalar Triple Product
• Chapter 27 : Direction Cosines and Direction Ratios
• Chapter 28 : Straight line in Space
• Chapter 29 : The Plane
• Chapter 30 : Linear Programming
• Chapter 31 : Probablity
• Chapter 32 : Mean and Variance of a random varibale
• Chapter 33 : Binomial Distribution

#### RD Sharma Class 12 Math Solution [Video]

• Chapter 1 : Relations
• Chapter 2 : Functions
• Chapter 3 : Binary Operations
• Chapter 4 : Inverse Trignometric Functions
• Chapter 5 : Algebra of Matrices
• Chapter 6 : Determinants
• Chapter 7 : Adjoint and Inverse of a Matrix
• Chapter 8 : Solution of Simultaneous Linear Equations
• Chapter 9 : Continuity
• Chapter 10 : Differentiability
• Chapter 11 : Differentiation
• Chapter 12 : Higher Order Derivatives
• Chapter 13 : Derivative as a Rate Measure
• Chapter 14 : Differentials, Errors and Approximations
• Chapter 15 : Mean Value Theorem
• Chapter 16 : Tangents and Normals
• Chapter 17 : Increasing and Decreasing Functions
• Chapter 18 : Maxima and Minima
• Chapter 19 : Indefinite Integrals
• Chapter 20 : Definite Integrals
• Chapter 21 : Area of Bounded Regions
• Chapter 22 : Differential Equations
• Chapter 23 : Algebra of Vectors
• Chapter 24 : Scalar or Dot Product
• Chapter 25 : Vector or Cross Product
• Chapter 26 : Scalar Triple Product
• Chapter 27 : Direction Cosines and Direction Ratios
• Chapter 28 : Straight line in Space
• Chapter 29 : The Plane
• Chapter 30 : Linear Programming
• Chapter 31 : Probablity
• Chapter 32 : Mean and Variance of a random varibale
• Chapter 33 : Binomial Distribution