Starting with a short dive into 19th-century geometry of plane curves, the book addresses a number of problems in the sciences, leading to solving polynomial equations over the real numbers. The solution sets are real algebraic varieties. Other metric problems discussed arise in optimization and statistics and involve, for instance, minimizing Wasserstein distances in machine learning, maximum likelihood estimation, or minimizing the Euclidean distance from a variety to a given data point. weiterlesen