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Optimization theory is designed to find the best ways of doing things. The structures of animals, their movements, their behavior, and their life histories have all been shaped by the optimizing processes of evolution or of learning by trial and error. In this revised edition of R. McNeill Alexander's widely acclaimed Optima for Animals, we see how extraordinarily diverse branches of biology are illuminated by the powerful methods of optimization theory. What is the best strength for a bone? Too weak a bone will probably break but an excessively stout one will be cumbersome. At what speed should humans change from walking to running? Should a bird take only big juicy worms or should it eat every worm it finds, and do birds make the best choices? Why do the males of some species of fishes and the females of others look after the young, while the young of others are looked after by both parents or neither? Is it possible that all these policies can be optimal, in different circumstances? This book shows how these and many other questions can be answered. The mathematics involved is explained very simply, with biology students in mind, but the book is not just for them. It is also for professionals, ranging from teachers to researchers.

Assessor strategy. --- Barbary doves. --- Bourgeois strategy. --- Cuckolder strategy. --- Dove strategy. --- Haplochromis. --- Hawk strategy. --- Junco. --- Maxwell convention. --- Onchorhynchus. --- Pararge aegeria. --- Pterophylium. --- Vespinae. --- Viverridae. --- Zyxomma. --- albatrosses. --- angelfish. --- bang-bang control. --- buckling. --- butterflies. --- catastrophe theory. --- clutch size. --- computer simulation. --- dynamic programming. --- efficiency. --- energy intake. --- feeding strategies. --- fitness component. --- games theory. --- gradient. --- growth and reproduction. --- integrals. --- intercept. --- marginal value theorem. --- queens. --- red deer. --- risk of starvation. --- rotifer. --- section modulus. --- semicircular canals. --- state variable. --- territories. --- tortoises. --- walking.