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This book provides an introduction to the significant role of
physics in evolution, based on the ideas of matter and energy
resource flow, organism self-copying, and ecological change. The
text employs these ideas to create quantitative models for
important evolutionary processes. Many fields of science and
engineering have come up against the problem of complex design-when
details become so numerous that computer power alone cannot make
progress. Nature solved the complex-design problem using evolution,
yet how it did so has been a mystery. Both laboratory experiments
and computer-simulation attempts eventually stopped evolving.
Something more than Darwin's ideas of heredity, variation, and
selection was needed. The solution is that there is a fourth
element to evolution: ecological change. When a new variation is
selected, this can change the ecology, and the new ecology can
create new opportunities for even more new variations to be
selected. Through this endless cycle, complexity can grow
automatically. This book uses the physics of resource flow to
describe this process in detail, developing quantitative models for
many evolutionary processes, including selection, multicellularity,
coevolution, sexual reproduction, and the Serengeti Rules. The text
demonstrates that these models are in conceptual agreement with
numerous examples of biological phenomena, and reveals, through
physics, how complex design can arise naturally. This will serve as
a key text on the part physics plays in evolution, and will be of
great interest to students at the university level and above
studying biophysics, physics, systems biology, and related fields.
This book provides an introduction to the significant role of
physics in evolution, based on the ideas of matter and energy
resource flow, organism self-copying, and ecological change. The
text employs these ideas to create quantitative models for
important evolutionary processes. Many fields of science and
engineering have come up against the problem of complex design-when
details become so numerous that computer power alone cannot make
progress. Nature solved the complex-design problem using evolution,
yet how it did so has been a mystery. Both laboratory experiments
and computer-simulation attempts eventually stopped evolving.
Something more than Darwin's ideas of heredity, variation, and
selection was needed. The solution is that there is a fourth
element to evolution: ecological change. When a new variation is
selected, this can change the ecology, and the new ecology can
create new opportunities for even more new variations to be
selected. Through this endless cycle, complexity can grow
automatically. This book uses the physics of resource flow to
describe this process in detail, developing quantitative models for
many evolutionary processes, including selection, multicellularity,
coevolution, sexual reproduction, and the Serengeti Rules. The text
demonstrates that these models are in conceptual agreement with
numerous examples of biological phenomena, and reveals, through
physics, how complex design can arise naturally. This will serve as
a key text on the part physics plays in evolution, and will be of
great interest to students at the university level and above
studying biophysics, physics, systems biology, and related fields.
How can computer modeling and simulation tools be used to
understand and analyze common situations and everyday problems?
Readers will find here an easy-to-follow, enjoyable introduction
for anyone even with little background training. Examples are
incorporated throughout to stimulate interest and engage the
reader. Build the necessary skillsets with operating systems,
editing, languages, commands, and visualization. Obtain hands-on
examples from sports, accidents, and disease to problems of heat
transfer, fluid flow, waves, and groundwater flow. Includes
discussion of parallel computing and graphics processing units.
This introductory, practical guide is suitable for students at any
level up to professionals looking to use modeling and simulation to
help solve basic to more advanced problems. Michael W. Roth, PhD,
serves as Dean of the School of STEM and Business at Hawkeye
Community College in Waterloo, Iowa. He was most recently Chair for
three years at Northern Kentucky University's Department of
Physics, Geology and Engineering Technology, and holds several
awards for teaching excellence.
How can computer modeling and simulation tools be used to
understand and analyze common situations and everyday problems?
Readers will find here an easy-to-follow, enjoyable introduction
for anyone even with little background training. Examples are
incorporated throughout to stimulate interest and engage the
reader. Build the necessary skillsets with operating systems,
editing, languages, commands, and visualization. Obtain hands-on
examples from sports, accidents, and disease to problems of heat
transfer, fluid flow, waves, and groundwater flow. Includes
discussion of parallel computing and graphics processing units.
This introductory, practical guide is suitable for students at any
level up to professionals looking to use modeling and simulation to
help solve basic to more advanced problems. Michael W. Roth, PhD,
serves as Dean of the School of STEM and Business at Hawkeye
Community College in Waterloo, Iowa. He was most recently Chair for
three years at Northern Kentucky University's Department of
Physics, Geology and Engineering Technology, and holds several
awards for teaching excellence.
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