Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Authored by leading experts, this seminal text presents a straightforward and elementary account of coalescent theory, which is a central concept in the study of genetic sequence variation observed in a population. Rich in examples and illustrations it is ideal for a graduate course in statistics, population, molecular and medical genetics, bioscience and medicine, and for students studying the evolution of human population and disease.

Population genetics - Mathematical models. --- Population genetics --- Génétique des populations --- Mathematical models --- Modèles mathématiques

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Natural selection --- Population genetics --- Evolution (Biology) --- Measurement --- Congresses --- Mathematical models --- Frydenberg, Ove, --- Congresses. --- Natural selection - Measurement - Congresses --- Population genetics - Mathematical models - Congresses --- Evolution (Biology) - Mathematical models - Congresses --- Frydenberg, Ove, - 1929-75

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

574.34 --- 575.857 --- Age-structured populations --- -Evolution (Biology) --- -Population genetics --- -#WPLT:dd.Prof.F.Symons --- Genetics --- Heredity --- Population --- Population biology --- Population dynamics --- Mathematical models --- Evolution (Biology) --- Population genetics --- Mathematical models. --- 575.857 Population --- 574.34 Population dynamics --- #WPLT:dd.Prof.F.Symons --- Age-structured populations - Mathematical models --- Population genetics - Mathematical models --- Evolution (Biology) - Mathematical models

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

This volume comprises ten thoroughly refereed and revised full papers originating from an interdisciplinary workshop on biocomputation entitled "Evolution as a Computational Process", held in Monterey, California in July 1992. This book is devoted to viewing biological evolution as a giant computational process being carried out over a vast spatial and temporal scale. Computer scientists, mathematicians and physicists may learn about optimization from looking at natural evolution and biologists may learn about evolution from studying artificial life, game theory, and mathematical optimization. In addition to the ten full papers addressing e.g. population genetics, emergence, artificial life, self-organization, evolutionary algorithms, and selection, there is an introductory survey and a subject index.

Génétique quantitative --- Kwantitatieve genetica --- Quantitative genetics --- Quantitative inheritance --- Population genetics --- Evolution (Biology) --- Mathematical models. --- Computer simulation. --- Mathematical models --- Evolution --- Computer simulation --- Evolution - Mathematical models. --- Population genetics - Computer simulation. --- Evolution - Computer simulation. --- Evolution (Biology). --- Information theory. --- Computer software. --- Artificial intelligence. --- Combinatorics. --- Evolutionary Biology. --- Theory of Computation. --- Algorithm Analysis and Problem Complexity. --- Artificial Intelligence. --- Mathematical and Computational Biology. --- Combinatorics --- Algebra --- Mathematical analysis --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Software, Computer --- Computer systems --- Communication theory --- Communication --- Cybernetics --- Animal evolution --- Animals --- Biological evolution --- Darwinism --- Evolutionary biology --- Evolutionary science --- Origin of species --- Biology --- Biological fitness --- Homoplasy --- Natural selection --- Phylogeny --- Population genetics - Mathematical models. --- Evolution (Biology) - Mathematical models. --- Evolution (Biology) - Computer simulation.