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NUMERICAL METHODS FOR THE SOLUTION OF
ALGEBRAIC AND TRANSCENDENTAL EQUATIONS
SOLUTION OF NON LINEAR
EQUATIONS
Numerical solution of Algebraic
and Transcendental Equations
 Introduction
 Bisection Method
 Regula-falsi Method
 Newton-Raphson Method
INTRODUCTION
 Numerical methods consist in repeated execution of same
process where at each step the result of preceding step is
used. So , basically it is known as iteration process and is
repeated till we get the desire degree of accuracy.
 In this chapter we shall discus some numerical methods for
the solution of algebraic and transcendental equations.
To find the root of f(x)= 0
Algebraic Equations Transcendental Equations
An algebraic Equation which
contain pure polynomial function
i.e. f(x) is a polynomial and
highest power of x should be finite
is called algebraic equation.
For example:
 x³-2x-5=0
 x³-6x+4=0
An Equation which contains
logarithmic functions, exponential
functions and trigonometric
functions is called transcendental
equation . In this equation highest
power of x is infinite.
For example:
 x-cosx=0
 2x-logx=6
METHODS TO FIND THE ROOT OF GIVEN EQUATION
 Bisection Method
 Regula-falsi Method
 Newton-Raphson Method
BISECTION METHOD
This method consist in locating the root of equation f(x)=0 between a
and b
If f(x) is continuous between a and b and f(a) and f(b) are of opposite
signs then, there is a root between a and b
Illustration:
Let f(a) is positive and f(b) is negative then, the first approximation to
the root is
If =0, then is the root of f(x)=0
If is negative then the root lies between a and
If is positive then the root lies between and b
Then we continue the previous process until the root is found to desire
accuracy
THANKS
BALJIT KAUR

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NUMERICAL METHODS ppt new (1).pptx

  • 1. NUMERICAL METHODS FOR THE SOLUTION OF ALGEBRAIC AND TRANSCENDENTAL EQUATIONS
  • 2. SOLUTION OF NON LINEAR EQUATIONS Numerical solution of Algebraic and Transcendental Equations  Introduction  Bisection Method  Regula-falsi Method  Newton-Raphson Method
  • 3. INTRODUCTION  Numerical methods consist in repeated execution of same process where at each step the result of preceding step is used. So , basically it is known as iteration process and is repeated till we get the desire degree of accuracy.  In this chapter we shall discus some numerical methods for the solution of algebraic and transcendental equations.
  • 4. To find the root of f(x)= 0 Algebraic Equations Transcendental Equations An algebraic Equation which contain pure polynomial function i.e. f(x) is a polynomial and highest power of x should be finite is called algebraic equation. For example:  x³-2x-5=0  x³-6x+4=0 An Equation which contains logarithmic functions, exponential functions and trigonometric functions is called transcendental equation . In this equation highest power of x is infinite. For example:  x-cosx=0  2x-logx=6
  • 5. METHODS TO FIND THE ROOT OF GIVEN EQUATION  Bisection Method  Regula-falsi Method  Newton-Raphson Method
  • 6. BISECTION METHOD This method consist in locating the root of equation f(x)=0 between a and b If f(x) is continuous between a and b and f(a) and f(b) are of opposite signs then, there is a root between a and b Illustration: Let f(a) is positive and f(b) is negative then, the first approximation to the root is If =0, then is the root of f(x)=0 If is negative then the root lies between a and If is positive then the root lies between and b Then we continue the previous process until the root is found to desire accuracy
  • 7.
  • 8.
  • 9.
  • 10.
  • 11.