RustedSciThe 0.4.19

Rust framework for symbolic and numerical computing:BVP ( Newton-Raphson frozen/damped/with collocations ), IVP( BDF, Radau, Backward Euler, LSODE, LSODA, RK45, DoPri), nonlinear equations ( Levenberg, Gavin) and more
Documentation 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90

impl NRBVP {
    pub fn dont_save_log(&mut self, dont_save_log: bool) {
        self.no_reports = dont_save_log;
    }
    pub fn save_to_file(&self) {
        //let date_and_time = Local::now().format("%Y-%m-%d_%H-%M-%S");
        let result_DMatrix = self
            .get_result()
            .expect("Frozen BVP save_to_file requires a computed solution matrix");
        let _ = save_matrix_to_file(
            &result_DMatrix,
            &self.values,
            "result.txt",
            &self.x_mesh,
            &self.arg,
        );
    }
    pub fn get_result(&self) -> Option<DMatrix<f64>> {
        let number_of_Ys = self.values.len();
        let n_steps = self.n_steps;
        let vector_of_results = self
            .result
            .clone()
            .expect("Frozen BVP get_result requires a converged solution vector")
            .clone();
        let matrix_of_results: DMatrix<f64> =
            DMatrix::from_column_slice(number_of_Ys, n_steps, vector_of_results.clone().as_slice())
                .transpose();
        let permutted_results = matrix_of_results;
        Some(permutted_results)
    }

    /// Converts the computed solution into the unified postprocessing dataset.
    pub fn postprocess_dataset(&self) -> Result<PostprocessDataset, PostprocessError> {
        if self.result.is_none() {
            return Err(PostprocessError::InvalidDataset(
                "Frozen BVP postprocess_dataset requires a converged solution vector".to_string(),
            ));
        }
        let values = self.get_result().ok_or_else(|| {
            PostprocessError::InvalidDataset(
                "Frozen BVP postprocess_dataset requires a converged solution vector".to_string(),
            )
        })?;
        PostprocessDataset::new(
            self.arg.clone(),
            self.values.clone(),
            self.x_mesh.clone(),
            values,
        )
    }

    /// Executes a declarative postprocessing plan using the modern facade.
    pub fn execute_postprocessing(
        &self,
        plan: &PostprocessPlan,
    ) -> Result<PostprocessReport, PostprocessError> {
        let dataset = self.postprocess_dataset()?;
        plan.execute(&dataset)
    }

    pub fn plot_result(&self) {
        let number_of_Ys = self.values.len();
        let n_steps = self.n_steps;
        let vector_of_results = self
            .result
            .clone()
            .expect("Frozen BVP plot_result requires a converged solution vector")
            .clone();
        let matrix_of_results: DMatrix<f64> =
            DMatrix::from_column_slice(number_of_Ys, n_steps, vector_of_results.clone().as_slice())
                .transpose();
        for _col in matrix_of_results.column_iter() {
            //   println!( "{:?}", DVector::from_column_slice(_col.as_slice()) );
        }
        info!(
            "matrix of results has shape {:?}",
            matrix_of_results.shape()
        );
        info!("length of x mesh : {:?}", n_steps);
        info!("number of Ys: {:?}", number_of_Ys);
        plots(
            self.arg.clone(),
            self.values.clone(),
            self.x_mesh.clone(),
            matrix_of_results,
        );
        info!("result plotted");
    }
}