User Guide

The user guide provides a detailed walkthrough of the library, touching the key features with useful background information and explanation. If you want to know about the details of specific classes and functions, please refer to the API Reference.

Getting Started

• Introduction
• Installation

Contents

• Linear Algebra
  • Arrays
    • Array
    • JaggedArray
    • csr_matrix
  • Reference Frames
  • Vectors and Tensors
    • Vectors
    • Tensors
    • Objectivity of Tensorial Quantities
• Functions and Relations
  • Functions
  • Relations
• Approximation: Interpolation and Regression
  • Interpolation
    • Lagrange Interpolation in 1d
    • Lagrange Interpolation in Higher Dimensions
  • Regression
    • Least-Squares (LS) Approximation
    • Weighted Least-Squares (WLS) Approximation
    • Moving Least-Squares (MLS) Approximation
    • Moving Least Squares Approximation using the MLSApproximator class
• Optimization
  • Linear Programming (LP)
    • 2d example with matplotlib
    • Linear Mixed-Integer Programs
  • Nonlinear Programming (NLP)
    • Binary Genetic Algorithm (BGA)
• Graphs and Graph Routines