Crate csta

This file contains the Randomizable trait and the basic vector types with all the operations implemented.

CSTA

csta is a library for simulating and analyzing complex systems. It is designed to be modular and easy to use.

Features

Modules

• constraints
• gamma
• hist
  Histogram module.
• indexing
  A module containing Indexing utilities for 2D and 3D grids with static dimensions The main purpose of this module is to provide a way to index into a 1D array as if it were a 2D or 3D array And not using x, y, z coordinates, but a single index that is transformed. This is useful for implementing cellular automata and other grid-based algorithms The main advantage of this approach is that it is faster than using a 2D or 3D array And it is more flexible than using a 1D array and manually calculating the index
• markov
  Markov chain-like module
• montecarlo
  Contains the MonteCarlo struct and its implementation. The MonteCarlo struct is a wrapper around rand::Rng and rand::distributions::Distribution<f64>. It is used to generate random data and iterate over it.
• prelude
  This module contains the most commonly used types and traits in the library.

Structs

• CartesianCoord2
• CartesianCoord3
• CartesianCoord4
• SphericalCoord2
• SphericalCoord3
• SphericalCoord4
• Vec2
  A 2D vector.
• Vec3
  A 3D vector.
• Vec4
  A 4D vector.

Traits

• Randomizable
  Its like Default but it generates a random value on a given distribution.