Matrix GuideΒΆ 1. Basics 1.1. Basic Representation 1.2. Basic Operations 1.3. Combining Objects - Tensor Products 1.4. Removing Objects - Partial Trace 2. Generating Objects 2.1. States 2.2. Operators 2.3. Random States & Operators 3. Calculating Quantities 3.1. Approximate Spectral Functions 4. Linear Algebra 4.1. Dense / full eigen decomposition 4.2. Partial eigen decomposition 4.3. Interior eigen-solving 4.4. Fast Randomized Linear Algebra 5. MPI 5.1. Modes of execution 5.2. MPI pool 5.3. An Example 6. Time Evolution 6.1. Basic Usage 6.2. Methods of Updating 6.3. Computing on the fly 6.4. Time-Dependent Evolutions