Latent Factor Analysis (LFA) models extract latent factors from incomplete matrices with high efficiency and accuracy. LFA plays a important role in addressing such issues, and "Incomplete Matrix Factorization with Applications" discusses various LFA models and their performance. This book focuses on the efficient algorithms that are practical and easy to follow and implement for practitioners. It focuses on the mathematical principle of LFA models that, for practitioners with engineering backgrounds, are not easy to follow.