A practical guide to solving linear and nonlinear equations, differential equations, optimization problems, and eigenvalue problems. The case studies illustrate mathematical modeling and algorithm design, for problems in physics, engineering, epidemiology, chemistry, and biology. For advanced undergraduates and beginning graduate students, and scientists whose work involves numerical computing.