(Bab 4 Pemecahan)

library(mosaic)

## Registered S3 method overwritten by 'mosaic':
##   method                           from   
##   fortify.SpatialPolygonsDataFrame ggplot2

## 
## The 'mosaic' package masks several functions from core packages in order to add 
## additional features.  The original behavior of these functions should not be affected by this.

## 
## Attaching package: 'mosaic'

## The following objects are masked from 'package:dplyr':
## 
##     count, do, tally

## The following object is masked from 'package:Matrix':
## 
##     mean

## The following object is masked from 'package:ggplot2':
## 
##     stat

## The following objects are masked from 'package:stats':
## 
##     binom.test, cor, cor.test, cov, fivenum, IQR, median, prop.test,
##     quantile, sd, t.test, var

## The following objects are masked from 'package:base':
## 
##     max, mean, min, prod, range, sample, sum

4.1.1 Dari Persamaan ke Nol Fungsi

library(mosaicCalc)

## Loading required package: mosaicCore

## 
## Attaching package: 'mosaicCore'

## The following objects are masked from 'package:dplyr':
## 
##     count, tally

## Loading required package: Deriv

## Loading required package: Ryacas

## 
## Attaching package: 'Ryacas'

## The following objects are masked from 'package:Matrix':
## 
##     diag, diag<-

## The following object is masked from 'package:stats':
## 
##     integrate

## The following objects are masked from 'package:base':
## 
##     %*%, diag, diag<-, lower.tri, upper.tri

## 
## Attaching package: 'mosaicCalc'

## The following object is masked from 'package:stats':
## 
##     D

g <- makeFun(sin(x^2)*cos(sqrt(x^4 + 3 )-x^2) - x + 1 ~ x)
slice_plot(g(x) ~ x, domain(x = -3:7)) %>%
  gf_hline(yintercept  = 0, color = "red")

4.1.2 Beberapa Solusi

findZeros(g(x) ~ x, xlim = range(-1000,  1000))

##        x
## 1 1.5576

findZeros(g(x) ~ x, xlim = range(1, 2))

##        x
## 1 1.5576

findZeros( sin(x) - 0.35 ~ x, xlim=range(-20,15) )

##           x
## 1  -16.0655
## 2  -12.2088
## 3   -9.7824
## 4   -5.9256
## 5   -3.4992
## 6    0.3576
## 7    2.7840
## 8    6.6408
## 9    9.0672
## 10  12.9239