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August 26, 2012 09:27
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Go: Newton's method for square root
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/* | |
A Tour of Go: page 44 | |
http://tour.golang.org/#44 | |
Exercise: Loops and Functions | |
As a simple way to play with functions and loops, implement the square root function using Newton's method. | |
In this case, Newton's method is to approximate Sqrt(x) by picking a starting point z and then repeating: z - (z*z - x) / (2 * z) | |
To begin with, just repeat that calculation 10 times and see how close you get to the answer for various values (1, 2, 3, ...). | |
Next, change the loop condition to stop once the value has stopped changing (or only changes by a very small delta). See if that's more or fewer iterations. How close are you to the math.Sqrt? | |
Hint: to declare and initialize a floating point value, give it floating point syntax or use a conversion: | |
z := float64(1) | |
z := 1.0 | |
*/ | |
package main | |
import ( | |
"fmt" | |
"math" | |
) | |
const DELTA = 0.0000001 | |
const INITIAL_Z = 100.0 | |
func Sqrt(x float64) (z float64) { | |
z = INITIAL_Z | |
step := func() float64 { | |
return z - (z*z - x) / (2 * z) | |
} | |
for zz := step(); math.Abs(zz - z) > DELTA | |
{ | |
z = zz | |
zz = step() | |
} | |
return | |
} | |
func main() { | |
fmt.Println(Sqrt(500)) | |
fmt.Println(math.Sqrt(500)) | |
} |
Hmm. Folks, I don't get it. z
and zz
? Why? One variable in loop is enough.
package main
import (
"fmt"
"math"
)
func Sqrt(x float64) (float64) {
z := 100.0
for math.Abs(z - math.Sqrt(x)) > 0.000000000001 {
z = (z - (z * z - x) / (2 * z))
}
return z
}
func main() {
n := 456789
fmt.Println(Sqrt(n), math.Sqrt(n))
}
um.. does this make sense?
package main
import (
"fmt"
"math"
)
var DELTA = 0.0001
func Sqrt(x float64) float64 {
z := 1.0
for ; math.Abs(z*z-x) > DELTA; z -= (z*z - x) / (z * 2) {
}
return z
}
func main() {
fmt.Println(Sqrt(2))
}
Excellent solution!
package main
import (
"fmt"
"math"
)
const Delta = 1e-10
func sqrt(x float64) float64 {
z, old := 1.0, 1.1
for math.Abs(old-z) > Delta {
old = z
z = z - (zz-x)/(2z)
}
return z
}
func main() {
fmt.Println(sqrt(2))
}
um.. does this make sense?
package main import ( "fmt" "math" ) var DELTA = 0.0001 func Sqrt(x float64) float64 { z := 1.0 for ; math.Abs(z*z-x) > DELTA; z -= (z*z - x) / (z * 2) { } return z } func main() { fmt.Println(Sqrt(2)) }
very sweet code.
package main
import (
"fmt"
"math"
)
func Sqrt(x float64) float64 {
var zi float64 = x/2
delta := 0.00000001
z := zi - (zi*zi - x) / (2*zi)
for math.Abs(z-zi) > delta {
zi = z
z -= (zi*zi - x) / (2*zi)
fmt.Printf("%v, %v\n", zi, z)
}
return z
}
func main() {
fmt.Println(Sqrt(0.5))
fmt.Println("real value = " + fmt.Sprint(math.Sqrt(0.5)))
}
func Sqrt(x float64) float64 {
z := 1.0
epsilon := 1e-6
lim := 10
for i := 0; i < lim && math.Abs(z*z-x) > epsilon; i++ {
z -= (z*z - x) / (2 * z)
}
return z
}
z := 1.0
// First guess
z -= (zz - x) / (2z)
// Iterate until change is very small
for zNew, delta := z, z; delta > 0.00000001; z = zNew {
zNew -= (zNew * zNew - x) / (2 * zNew)
delta = z - zNew
}
return z
amazinggg
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Seems like the initial value of Z should be a very high number to give a start difference in iterations as the number gets bigger. The smaller values are positive for Z:=100
package main
import (
"fmt"
"math"
)
const DELTA = 0.0000001
const INITIAL_Z = 100.0
func nSqrt(x float64) (z float64) {
z = INITIAL_Z
}
func Sqrt(x float64) float64 {
z := 10000.0
lowestz := x
for i := 1.0; ; i++ {
z -= (zz - x) / (2z)
if z < lowestz {
if (lowestz - z ) < 1 {
return math.Round(lowestz)
}
lowestz = z
fmt.Println("Sqrt iteration",i, "yields", lowestz)
} else {
fmt.Println("Sqrt iteration",i, "yields", z)
}
}
return -1.0
}
func main() {
x := 88446264882046.0
fmt.Println(math.Sqrt(x),"is the Math.sqrt of",x)
fmt.Println(Sqrt(x),"is the sqrt of",x)
fmt.Println(nSqrt(x),"is the nSqrt of",x)
}
9.404587438162612e+06 is the Math.sqrt of 8.8446264882046e+13
Sqrt iteration 1 yields 4.4223182441023e+09
Sqrt iteration 2 yields 2.2111691220398436e+09
Sqrt iteration 3 yields 1.1056045609068596e+09
Sqrt iteration 4 yields 5.528422795037274e+08
Sqrt iteration 5 yields 2.7650113206446457e+08
Sqrt iteration 6 yields 1.384105043735723e+08
Sqrt iteration 7 yields 6.952475924039575e+07
Sqrt iteration 8 yields 3.5398457082733385e+07
Sqrt iteration 9 yields 1.8948524021609366e+07
Sqrt iteration 10 yields 1.1808118325449023e+07
Sqrt iteration 11 yields 9.64920561384981e+06
Sqrt iteration 12 yields 9.407688110605048e+06
Sqrt iteration 13 yields 9.404587949136695e+06
9.404588e+06 is the sqrt of 8.8446264882046e+13
nSqrt iteration 1 yields 4.4223132446023e+11
nSqrt iteration 2 yields 2.21115662330115e+11
nSqrt iteration 3 yields 1.1055783136505748e+11
nSqrt iteration 4 yields 5.527891608252874e+10
nSqrt iteration 5 yields 2.763945884126436e+10
nSqrt iteration 6 yields 1.3819731020632118e+10
nSqrt iteration 7 yields 6.909868710315565e+09
nSqrt iteration 8 yields 3.454940755153831e+09
nSqrt iteration 9 yields 1.7274831775453014e+09
nSqrt iteration 10 yields 8.637671885197371e+08
nSqrt iteration 11 yields 4.3193479223662525e+08
nSqrt iteration 12 yields 2.1606977993465686e+08
nSqrt iteration 13 yields 1.0823956057167856e+08
nSqrt iteration 14 yields 5.4528347469662406e+07
nSqrt iteration 15 yields 2.807518552031814e+07
nSqrt iteration 16 yields 1.5612760710839875e+07
nSqrt iteration 17 yields 1.063887956936863e+07
nSqrt iteration 18 yields 9.476186945198271e+06
nSqrt iteration 19 yields 9.404857931423109e+06
nSqrt iteration 20 yields 9.404587442052443e+06
nSqrt iteration 21 yields 9.404587438162612e+06
9.404587438162612e+06 is the nSqrt of 8.8446264882046e+13