This is yet another formula that I have not memorised.
I work it out every time.
(This is not presenting properly as fractions because LaTex is playing up!)
Consider the red tangent. $Thegradientofthislineisf′(x0)$BUT The tangent is also =rise/run=(f(x0)−0)/(x0−x1)=f(x0)/(x0−x1)f′(x0)=f(x0)/(x0−x1)f′(x0)(x0−x1)=f(x0)(x0−x1)=f(x0)/f′(x)−x1=[f(x0)/f′(x0)]−x0x1=x0−[f(x0)/f′(x)]
e^(1/x)-x=0
Root-Finding Algorithm with Newton's method: \small{\text{ $ \boxed{ x_{i+1} = x_i - \dfrac{f(x_i)}{f'(x_i)} } \quad f{(x)} = e^{\frac{1}{x}}-x $ and $ f'(x) = -\frac{ e^{\frac{1}{x}}}{x^2}-1 $ we have $ x_{i+1} = x_i + \dfrac{ e^{\dfrac{1}{x_i}}-x_i } {\frac{ e^{ \left(\dfrac{1}{x_i} \right) } } {x_i^2}+1} $ }
We start with:
x0=1 x1=1+e−1e+1=1.46211715726 x2=1.46211715726+0.519552440511.92697260563=1.73173824009 x3=1.73173824009+0.049759570611.59404698875=1.76295411450 x4=1.76295411450+0.000421152331.56736524331=1.76322281532 x5=1.76322281532+0.000000029821.56714330612=1.76322283435 x6=1.76322283435+0.0000000000000001495443031.56714329041=1.76322283435
x≈1.76322283435
Thanks, heureka.....
Notice how fast this coverges by using Newton's Method......the 4th and 5th terms agree to seven decimal places ....!!!!
This is yet another formula that I have not memorised.
I work it out every time.
(This is not presenting properly as fractions because LaTex is playing up!)
Consider the red tangent. $Thegradientofthislineisf′(x0)$BUT The tangent is also =rise/run=(f(x0)−0)/(x0−x1)=f(x0)/(x0−x1)f′(x0)=f(x0)/(x0−x1)f′(x0)(x0−x1)=f(x0)(x0−x1)=f(x0)/f′(x)−x1=[f(x0)/f′(x0)]−x0x1=x0−[f(x0)/f′(x)]