Expand description
Do not disturbed. Just use.
§Philosophy
For complicated computations like as physics, statistics and etc, too many options of library disturbes theory.
Many computations where numerical algorithms are not very critical do not require many options.
L2 norm is enough, and what integration algorithms you use is not important.
prelude
makes you free.
§Usage
ⓘ
#[macro_use]
extern crate peroxide;
use peroxide::prelude::*;
// Then you can use almost everything in peroxide.
§Compare with fuga
- Norm
#[macro_use]
extern crate peroxide;
use peroxide::prelude::*;
fn main() {
let a = c!(1, 2, 3);
let l2 = a.norm(); // L2 is default vector norm
assert_eq!(l2, 14f64.sqrt());
}
#[macro_use]
extern crate peroxide;
use peroxide::fuga::*;
fn main() {
let a = c!(1, 2, 3);
let l2 = a.norm(Norm::L2);
assert_eq!(l2, 14f64.sqrt());
}
- Numerical integration
#[macro_use]
extern crate peroxide;
use peroxide::prelude::*;
use std::f64::consts::PI;
fn main() {
let sin = |x: f64| x.sin();
integrate(sin, (0f64, PI)).print();
// Default integration = G7K15R(1e-4, 20)
}
#[macro_use]
extern crate peroxide;
use peroxide::fuga::*;
use std::f64::consts::PI;
fn main() {
let sin = |x: f64| x.sin();
integrate(sin, (0f64, PI), G7K15R(1e-4, 20)).print();
}
- Solve
#[macro_use]
extern crate peroxide;
use peroxide::fuga::*;
fn main() {
let a = ml_matrix("1 2;3 4");
let b = c!(3, 7);
a.solve(&b, LU).print(); // [1, 1]
a.solve(&b, WAZ).print(); // [1, 1]
}
#[macro_use]
extern crate peroxide;
use peroxide::prelude::*;
fn main() {
let a = ml_matrix("1 2;3 4");
let b = c!(3, 7);
// Prelude can only solve with LU
a.solve(&b).print(); // [1, 1]
}
- DataFrame with Parquet
extern crate peroxide;
use peroxide::fuga::*;
fn main() {
let x = seq(0, 1, 0.1);
let y = x.fmap(|t| t.powi(2));
let mut df = DataFrame::new(vec![]);
df.push("x", Series::new(x));
df.push("y", Series::new(y));
df.print();
df.write_parquet("example_data/test.parquet", CompressionOptions::Uncompressed).unwrap();
}
extern crate peroxide;
use peroxide::prelude::*;
fn main() {
let x = seq(0, 1, 0.1);
let y = x.fmap(|t| t.powi(2));
let mut df = DataFrame::new(vec![]);
df.push("x", Series::new(x));
df.push("y", Series::new(y));
df.print();
df.write_parquet("example_data/test.parquet").unwrap();
}
Re-exports§
pub use crate::traits::fp::FPMatrix;
pub use crate::traits::fp::FPVector;
pub use crate::traits::general::Algorithm;
pub use crate::traits::math::InnerProduct;
pub use crate::traits::math::LinearOp;
pub use crate::traits::math::MatrixProduct;
pub use crate::traits::math::Vector;
pub use crate::traits::math::VectorProduct;
pub use crate::traits::matrix::MatrixTrait;
pub use crate::traits::matrix::PQLU;
pub use crate::traits::matrix::QR;
pub use crate::traits::matrix::WAZD;
pub use crate::traits::mutable::MutFP;
pub use crate::traits::mutable::MutMatrix;
pub use crate::traits::num::Real;
pub use crate::traits::pointer::MatrixPtr;
pub use crate::traits::pointer::Oxide;
pub use crate::traits::pointer::Redox;
pub use crate::traits::pointer::RedoxCommon;
pub use crate::traits::sugar::ConvToMat;
pub use crate::traits::sugar::Scalable;
pub use crate::traits::sugar::ScalableMut;
pub use crate::traits::sugar::VecOps;
pub use simpler::SimpleNorm;
pub use crate::structure::dataframe::WithCSV;
pub use crate::structure::dataframe::DType;
pub use crate::structure::dataframe::DTypeArray;
pub use crate::structure::dataframe::DTypeValue;
pub use crate::structure::dataframe::DataFrame;
pub use crate::structure::dataframe::Scalar;
pub use crate::structure::dataframe::Series;
pub use crate::structure::dataframe::TypedScalar;
pub use crate::structure::dataframe::TypedVector;
pub use crate::structure::matrix::combine;
pub use crate::structure::matrix::diag;
pub use crate::structure::matrix::gemm;
pub use crate::structure::matrix::gemv;
pub use crate::structure::matrix::gen_householder;
pub use crate::structure::matrix::inv_l;
pub use crate::structure::matrix::inv_u;
pub use crate::structure::matrix::matrix;
pub use crate::structure::matrix::ml_matrix;
pub use crate::structure::matrix::py_matrix;
pub use crate::structure::matrix::r_matrix;
pub use crate::structure::matrix::Col;
pub use crate::structure::matrix::Matrix;
pub use crate::structure::matrix::Row;
pub use crate::structure::matrix::Shape;
pub use crate::structure::polynomial::lagrange_polynomial;
pub use crate::structure::polynomial::legendre_polynomial;
pub use crate::structure::polynomial::poly;
pub use crate::structure::polynomial::Calculus;
pub use crate::structure::polynomial::Polynomial;
pub use crate::structure::dataframe::WithNetCDF;
pub use crate::complex::C64;
pub use simpler::solve;
pub use simpler::SimplerLinearAlgebra;
pub use crate::special::function::beta;
pub use crate::special::function::erf;
pub use crate::special::function::erfc;
pub use crate::special::function::gamma;
pub use crate::special::function::gaussian;
pub use crate::special::function::inc_beta;
pub use crate::special::function::inc_gamma;
pub use crate::special::function::inv_erf;
pub use crate::special::function::inv_erfc;
pub use crate::special::function::inv_inc_beta;
pub use crate::special::function::inv_inc_gamma;
pub use crate::special::function::ln_gamma;
pub use crate::special::function::phi;
pub use crate::special::function::poch;
pub use crate::numerical::eigen::Eigen;
pub use crate::numerical::spline::cubic_spline;
pub use crate::numerical::spline::CubicHermiteSpline;
pub use crate::numerical::spline::CubicSpline;
pub use crate::numerical::spline::Spline;
pub use simpler::chebyshev_polynomial;
pub use simpler::cubic_hermite_spline;
pub use simpler::eigen;
pub use simpler::integrate;
pub use simpler::lambert_w0;
pub use simpler::lambert_wm1;
pub use simpler::SimpleParquet;
pub use anyhow;
pub use paste;
pub use crate::macros::julia_macro::*;
pub use crate::macros::matlab_macro::*;
pub use crate::macros::r_macro::*;
pub use crate::structure::ad::AD::*;
pub use crate::structure::ad::*;
pub use crate::structure::vector::*;
pub use crate::complex::integral::*;
pub use crate::complex::matrix::*;
pub use crate::complex::vector::*;
pub use crate::util::api::*;
pub use crate::util::low_level::*;
pub use crate::util::non_macro::*;
pub use crate::util::print::*;
pub use crate::util::useful::*;
pub use crate::util::wrapper::*;
pub use crate::statistics::dist::*;
pub use crate::statistics::ops::*;
pub use crate::statistics::rand::*;
pub use crate::statistics::stat::*;
pub use crate::numerical::interp::*;
pub use crate::numerical::ode::*;
pub use crate::numerical::optimize::*;
pub use crate::numerical::root::*;
pub use crate::numerical::utils::*;
pub use crate::statistics::stat::Metric::*;
pub use crate::util::plot::*;
Modules§
Macros§
Structs§
- A small-state, fast, non-crypto, non-portable PRNG
- A strong, fast (amortized), non-portable RNG
- A reference to the thread-local generator
Traits§
- A marker trait over
RngCore
for securely unpredictable RNGs - Types (distributions) that can be used to create a random instance of
T
. - Extension trait on indexable lists, providing random sampling methods.
- Extension trait on indexable lists, providing random sampling methods.
- Extension trait on iterators, providing random sampling methods.
- User-level interface for RNGs
- Implementation-level interface for RNGs
- A random number generator that can be explicitly seeded.
- Extension trait on slices, providing shuffling methods.