|
Showing 1 - 25 of
39 matches in All Departments
The world is increasingly turbulent and complex, awash with
disruptions, tipping points and knock-on effects exemplified by the
implosion of financial markets and economies around the globe. This
book is for business and organizational leaders who want and need
to think through how best to deal with increasing turbulence, and
with the complexity and uncertainty that come with it. The authors
explain in clear language how future orientation and, specifically,
modern scenario techniques help to address these conditions. They
draw on examples from a wide variety of international settings and
circumstances including large corporations, inter-governmental
organizations, small firms and municipalities. Readers will be
inspired to try out scenario approaches themselves to better
address the turbulence that affects them and others with whom they
work, live and do business. This second edition extends the use of
scenarios planning and methods to tackle the risk and uncertainty
of financial markets and the potentially massive impacts on
businesses of all kinds, providing powerful tools to give far
thinking executives an advantage in these turbulent times.
Computational approaches to music composition and style imitation
have engaged musicians, music scholars, and computer scientists
since the early days of computing. Music generation research has
generally employed one of two strategies: knowledge-based methods
that model style through explicitly formalized rules, and data
mining methods that apply machine learning to induce statistical
models of musical style. The five chapters in this book illustrate
the range of tasks and design choices in current music generation
research applying machine learning techniques and highlighting
recurring research issues such as training data, music
representation, candidate generation, and evaluation. The
contributions focus on different aspects of modeling and generating
music, including melody, chord sequences, ornamentation, and
dynamics. Models are induced from audio data or symbolic data. This
book was originally published as a special issue of the Journal of
Mathematics and Music.
The world is increasingly turbulent and complex, awash with
disruptions, tipping points and knock-on effects exemplified by the
implosion of financial markets and economies around the globe. This
book is for business and organizational leaders who want and need
to think through how best to deal with increasing turbulence, and
with the complexity and uncertainty that come with it. The authors
explain in clear language how future orientation and, specifically,
modern scenario techniques help to address these conditions. They
draw on examples from a wide variety of international settings and
circumstances including large corporations, inter-governmental
organizations, small firms and municipalities. Readers will be
inspired to try out scenario approaches themselves to better
address the turbulence that affects them and others with whom they
work, live and do business. This second edition extends the use of
scenarios planning and methods to tackle the risk and uncertainty
of financial markets and the potentially massive impacts on
businesses of all kinds, providing powerful tools to give far
thinking executives an advantage in these turbulent times.
This book is dedicated to study the inverse problem of ordinary
differential equations, that is it focuses in finding all ordinary
differential equations that satisfy a given set of properties. The
Nambu bracket is the central tool in developing this approach. The
authors start characterizing the ordinary differential equations in
R^N which have a given set of partial integrals or first integrals.
The results obtained are applied first to planar polynomial
differential systems with a given set of such integrals, second to
solve the 16th Hilbert problem restricted to generic algebraic
limit cycles, third for solving the inverse problem for constrained
Lagrangian and Hamiltonian mechanical systems, fourth for studying
the integrability of a constrained rigid body. Finally the authors
conclude with an analysis on nonholonomic mechanics, a
generalization of the Hamiltonian principle, and the statement an
solution of the inverse problem in vakonomic mechanics.
This book is dedicated to study the inverse problem of ordinary
differential equations, that is it focuses in finding all ordinary
differential equations that satisfy a given set of properties. The
Nambu bracket is the central tool in developing this approach. The
authors start characterizing the ordinary differential equations in
R^N which have a given set of partial integrals or first integrals.
The results obtained are applied first to planar polynomial
differential systems with a given set of such integrals, second to
solve the 16th Hilbert problem restricted to generic algebraic
limit cycles, third for solving the inverse problem for constrained
Lagrangian and Hamiltonian mechanical systems, fourth for studying
the integrability of a constrained rigid body. Finally the authors
conclude with an analysis on nonholonomic mechanics, a
generalization of the Hamiltonian principle, and the statement an
solution of the inverse problem in vakonomic mechanics.
Computational approaches to music composition and style imitation
have engaged musicians, music scholars, and computer scientists
since the early days of computing. Music generation research has
generally employed one of two strategies: knowledge-based methods
that model style through explicitly formalized rules, and data
mining methods that apply machine learning to induce statistical
models of musical style. The five chapters in this book illustrate
the range of tasks and design choices in current music generation
research applying machine learning techniques and highlighting
recurring research issues such as training data, music
representation, candidate generation, and evaluation. The
contributions focus on different aspects of modeling and generating
music, including melody, chord sequences, ornamentation, and
dynamics. Models are induced from audio data or symbolic data. This
book was originally published as a special issue of the Journal of
Mathematics and Music.
|
Libros Profeticos II - Oseas, Joel, Amos, Abdias, Jonas, Miqueas, Nahum, Habacuc, Sofonias, Ageo, Cacarias Y Malaquias (Spanish, Paperback)
William Anderson, Rafael Ramirez
|
R351
R292
Discovery Miles 2 920
Save R59 (17%)
|
Ships in 10 - 15 working days
|
During the 1980s and 1990s, Richard Normann and his colleagues
developed an original approach to strategy, based on seeing value
as inherently co-produced in systems. Their 'Value Creating
Systems' approach was a strong contrast to the idea of 'competitive
advantage' that defined strategy at the time. The approach focuses
on the design of the 'offerings' that define relationships among
co-producers, and which connect actors in fields which transcend
traditional industry borders. In the contemporary networked world,
where consumers become co-producers, the ideas Normann and his
colleagues developed towards strategy are uniquely effective in
explaining and guiding practice.Strategy for a Networked World
revisits and further develops these ideas. It is co-authored by two
long-standing colleagues of Normann, Rafael Ramirez and Ulf
Mannervik, who have successfully applied these ideas to their own
consultancy practice. This book provides the theoretical basis for
strategies of value co-creation, an accessible methodology and
practical guidance, case studies of Facebook and the World Economic
Forum, and examples of successful collaborations with organisations
such as EDF, Scania, Essity and Shell.Designed to advise
strategists and business developers working in uncertain, complex
and turbulent contexts, it is suitable both for practitioners and
for academics, combining theory and the means to turn it into
practice. It will also serve as a valuable contribution to MBA
classes and towards the development of more effective business
strategies.
|
|