Table of Contents

Part 1: Getting Started (AVAILABLE)

Introduction (AVAILABLE)

Hello world (AVAILABLE)

Vectors, matrices, and Neanderthal API (AVAILABLE)

Polymorphic acceleration (AVAILABLE)

Part 2: Linear algebra refresher (AVAILABLE)

Vector spaces (AVAILABLE)

Eigenvalues and eigenvectors (AVAILABLE)

Matrix transformations (AVAILABLE)

Linear transformations (AVAILABLE)

Part 3: High performance matrix computations (AVAILABLE)

Using matrices efficiently (AVAILABLE)

Linear systems and factorization (AVAILABLE)

Singular value decomposition (SVD) (AVAILABLE)

Orthogonalization and least squares (AVAILABLE)

Part 4: In practice (AVAILABLE)

GPU computing crash course (AVAILABLE)

Generating random matrices (AVAILABLE)

Broadcasting (AVAILABLE)

Mean, variance, and correlation (AVAILABLE)

Principal component analysis (PCA) (AVAILABLE)

Appendix

Setting up the environment and the JVM (AVAILABLE)