Optimization in Medicine and Biology

Integrating strong foundational theory, good modeling techniques, efficient algorithms, and relevant applications, this comprehensive, single-source reference highlights the most recent advances in optimization techniques for solving very complex problems in medical and biological research. It discusses mathematical programming techniques for medical decision-making processes and applies them to pediatric vaccine formularies, cancer treatment planning models, and the cost-effectiveness of HIV programs. The second part focuses on optimization in biology and discusses computational algorithms for genomic analysis; probe design and selection; and various algorithms and software packages to aid in probe selection and design. The appendix provides a short tutorial on Integer Programming (IP).