Ernst Mayr Book order

This book constitutes revised selected papers from the 41 st International Workshop on Graph-Theoretic Concepts in Computer Science, WG 2015, held in Garching, Germany, in June 2015. The 32 papers presented in this volume were carefully reviewed and selected from 79 submissions. They were organized in topical sections named: invited talks; computational complexity; design and analysis; computational geometry; structural graph theory; graph drawing; and fixed parameter tractability. 

Ernst Mayr's comprehensive work explores the intricate relationship between animal species and evolution, spanning twenty chapters. It begins with foundational concepts in evolutionary biology and culminates in an analysis of humans as a biological species. Mayr addresses unresolved issues and integrates insights from diverse fields like genetics and physiology. He presents a critical evaluation of species concepts, hybridization, genetic variation, and speciation while encouraging constructive debate. The book includes a glossary and an extensive bibliography for further exploration.

This book is a collection of essays from the most eminent evolutionary biologist of the twentieth century. Ernst Mayr explores biology as an autonomous science, the history of evolutionary thought, the contributions of philosophy to the science of biology, and the major ongoing issues in evolutionary theory.

Explores the development of the ideas of evolutionary biology, particularly as affected by the increasing understanding of genetics and of the chemical basis of inheritance.

What we do and do not know about evolution, by one of the field's pioneering thinkers.

The author argues that the physical sciences cannot address many aspects of nature and that living organisms must be understood at every level of organization. He attempts to map out the territorial overlap between biology and the humanities, especially history and ethics.

During the last few years, we have seen quite spectacular progress in the area of approximation algorithms: for several fundamental optimization problems we now actually know matching upper and lower bounds for their approximability. This textbook-like tutorial is a coherent and essentially self-contained presentation of the enormous recent progress facilitated by the interplay between the theory of probabilistically checkable proofs and aproximation algorithms. The basic concepts, methods, and results are presented in a unified way to provide a smooth introduction for newcomers. These lectures are particularly useful for advanced courses or reading groups on the topic.