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The Mythic Dream (Paperback)
Dominik Parisien, Navah Wolfe; John Chu, Leah Cypess, Indrapramit Das, …
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R404
R270
Discovery Miles 2 700
Save R134 (33%)
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Ships in 12 - 17 working days
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An all-new anthology of eighteen classic myth retellings featuring
an all-star lineup of award-winning and critically acclaimed
writers. Madeleine L'Engle once said, "When we lose our myths we
lose our place in the universe." The Mythic Dream gathers together
eighteen stories that reclaim the myths that shaped our collective
past, and use them to explore our present and future. From Hades
and Persephone to Kali, from Loki to Inanna, this anthology
explores retellings of myths across cultures and civilizations.
Featuring award-winning and critically acclaimed writers such as
Seanan McGuire, Naomi Novik, Rebecca Roanhorse, JY Yang, Alyssa
Wong, Indrapramit Das, Carlos Hernandez, Sarah Gailey, Ann Leckie,
John Chu, Urusla Vernon, Carmen Maria Machado, Stephen Graham
Jones, Arkady Martine, Amal El-Mohtar, Jeffrey Ford, and more, The
Mythic Dream is sure to become a new classic.
This book presents an overview of archiving strategies developed
over the last years by the authors that deal with suitable
approximations of the sets of optimal and nearly optimal solutions
of multi-objective optimization problems by means of stochastic
search algorithms. All presented archivers are analyzed with
respect to the approximation qualities of the limit archives that
they generate and the upper bounds of the archive sizes. The
convergence analysis will be done using a very broad framework that
involves all existing stochastic search algorithms and that will
only use minimal assumptions on the process to generate new
candidate solutions. All of the presented archivers can
effortlessly be coupled with any set-based multi-objective search
algorithm such as multi-objective evolutionary algorithms, and the
resulting hybrid method takes over the convergence properties of
the chosen archiver. This book hence targets at all algorithm
designers and practitioners in the field of multi-objective
optimization.
This book presents an overview of archiving strategies developed
over the last years by the authors that deal with suitable
approximations of the sets of optimal and nearly optimal solutions
of multi-objective optimization problems by means of stochastic
search algorithms. All presented archivers are analyzed with
respect to the approximation qualities of the limit archives that
they generate and the upper bounds of the archive sizes. The
convergence analysis will be done using a very broad framework that
involves all existing stochastic search algorithms and that will
only use minimal assumptions on the process to generate new
candidate solutions. All of the presented archivers can
effortlessly be coupled with any set-based multi-objective search
algorithm such as multi-objective evolutionary algorithms, and the
resulting hybrid method takes over the convergence properties of
the chosen archiver. This book hence targets at all algorithm
designers and practitioners in the field of multi-objective
optimization.
This book presents the latest algorithmic developments in the
cell-mapping method for the global analysis of nonlinear dynamic
systems, global solutions for multi-objective optimization
problems, and global solutions for zeros of complex algebraic
equations. It also discusses related engineering and scientific
applications, including the nonlinear design of structures for
better vibration resistance and reliability; multi-objective,
structural-acoustic design for sound abatement; optimal
multi-objective design of airfoils for better lift; and optimal
multi-objective design of linear and nonlinear controls with or
without time delay. The first book on the subject to include
extensive Matlab and C++ codes, it presents various implementation
algorithms of the cell-mapping method, enabling readers to
understand how the method works and its programming aspects. A link
to the codes on the Springer website will be provided to the
readers.
Brain Inspired Cognitive Systems - BICS 2010 aims to bring together
leading scientists and engineers who use analytic and synthetic
methods both to understand the astonishing processing properties of
biological systems and specifically of the brain, and to exploit
such knowledge to advance engineering methods to build artificial
systems with higher levels of cognitive competence. BICS is a
meeting point of brain scientists and cognitive systems engineers
where cross-domain ideas are fostered in the hope of getting
emerging insights on the nature, operation and extractable
capabilities of brains. This multiple approach is necessary because
the progressively more accurate data about the brain is producing a
growing need of a quantitative understanding and an associated
capacity to manipulate this data and translate it into engineering
applications rooted in sound theories. BICS 2010 is intended for
both researchers that aim to build brain inspired systems with
higher cognitive competences, and for life scientists who use and
develop mathematical and engineering approaches for a better
understanding of complex biological systems like the brain. Four
major interlaced focal symposia are planned for this conference and
these are organized into patterns that encourage
cross-fertilization across the symposia topics. This emphasizes the
role of BICS as a major meeting point for researchers and
practitioners in the areas of biological and artificial cognitive
systems. Debates across disciplines will enrich researchers with
complementary perspectives from diverse scientific fields. BICS
2010 will take place July 14-16, 2010, in Madrid, Spain.
Presents a hands-on view of the field of multi-view stereo with a
focus on practical algorithms. Multi-view stereo algorithms are
able to construct highly detailed 3D models from images alone. They
take a possibly very large set of images and construct a 3D
plausible geometry that explains the images under some reasonable
assumptions, the most important being scene rigidity. Multi-View
Stereo: A Tutorial frames the multiview stereo problem as an
image/geometry consistency optimization problem. It describes in
detail its main two ingredients: robust implementations of
photometric consistency measures, and efficient optimization
algorithms. It then presents how these main ingredients are used by
some of the most successful algorithms, applied into real
applications, and deployed as products in the industry. Finally, it
describes more advanced approaches exploiting domain-specific
knowledge such as structural priors, and gives an overview of the
remaining challenges and future research directions.
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Life After A Miracle (Paperback)
Serena Verzhinsky; Illustrated by Carlos Hernandez; Barbra Sonnen Hernandez
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R477
Discovery Miles 4 770
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Ships in 10 - 15 working days
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Each one of us has experienced one miracle in our lifetime. Whether
it was small or big, God touched you leaving His love and strength
in you. This book will encourage you to live a new life from the
healing touch of God. You will understand your new calling as you
read about people's historic and everyday miracles, how it affected
and changed their lives forever. Miracles are a gift from God
showing his love in all of us forever.
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