A rigorous yet accessible introduction to numerical analysis that combines foundational theory with algorithmic procedures. Topics include error analysis, direct & iterative methods for linear systems, eigenvalue problems, interpolation, numerical integration, ODE/PDE solvers, finite element & integral equation methods. Adapted from the author’s long-standing undergraduate/graduate teaching a…
An accessible text tailored for health science students, requiring only high-school algebra. Topics include probability, sampling distributions, hypothesis testing, ANOVA, nonparametric methods, vital statistics, life tables, survey design—supported by health-focused examples, learning aids, and numerous exercises.