use resolution for newton iteration
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@ -46,9 +46,6 @@ pub struct FunctionEntry {
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extrema: bool,
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}
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// How many times should newton's method iterate?
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const NEWTON_LOOPS: usize = 50;
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impl FunctionEntry {
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// Creates Empty Function instance
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pub fn empty() -> Self {
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@ -291,6 +288,7 @@ impl FunctionEntry {
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// Finds roots
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fn roots(&mut self) {
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let resolution: f64 = (self.pixel_width as f64 / (self.max_x - self.min_x).abs()) as f64;
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let mut root_list: Vec<Value> = Vec::new();
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let mut last_ele: Option<Value> = None;
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for ele in self.output.back.as_ref().unwrap().iter() {
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@ -312,12 +310,17 @@ impl FunctionEntry {
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let mut x1: f64 = last_ele.unwrap().x;
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let mut x2: f64;
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let mut fail: bool = false;
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for _ in 0..NEWTON_LOOPS {
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loop {
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x2 = x1 - (self.function.get(x1) / self.function.derivative(x1));
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if !(self.min_x..self.max_x).contains(&x2) {
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fail = true;
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break;
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}
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if (x2 - x1).abs() < resolution {
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break;
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}
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x1 = x2;
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}
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@ -338,6 +341,7 @@ impl FunctionEntry {
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// Finds extrema
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fn extrema(&mut self) {
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let resolution: f64 = (self.pixel_width as f64 / (self.max_x - self.min_x).abs()) as f64;
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let mut extrama_list: Vec<Value> = Vec::new();
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let mut last_ele: Option<Value> = None;
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for ele in self.output.derivative.as_ref().unwrap().iter() {
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@ -359,13 +363,18 @@ impl FunctionEntry {
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let mut x1: f64 = last_ele.unwrap().x;
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let mut x2: f64;
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let mut fail: bool = false;
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for _ in 0..NEWTON_LOOPS {
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loop {
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x2 = x1
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- (self.function.derivative(x1) / self.function.get_derivative_2(x1));
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if !(self.min_x..self.max_x).contains(&x2) {
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fail = true;
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break;
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}
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if (x2 - x1).abs() < resolution {
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break;
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}
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x1 = x2;
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}
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