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This book offers a self-contained guide to advanced algorithms and
their applications in various fields of science. Gathering
contributions by authoritative researchers in the field of
mathematics, statistics and computer science, it aims at offering a
comprehensive and up-to-date view of algorithms, including the
theory behind them, as well as practical considerations, current
limitations and solutions. It covers applications in energy
management, decision making, computer networks, materials science,
mechanics and process optimization. It offers an integrated and
timely guide to important algorithms, and represents a valuable
reference resource for graduate students and researchers in various
fields of applied mathematics, statistics and engineering.
This book presents a systemic perspective on the broadly perceived
problem of social care, meant in terms of a network engaging
balanced resources and actors to assure the functionality, in an
integrative approach. The approach involves individual,
institutional and organizational structures, at the micro, mezzo-
and macro-levels, in their interrelations, with proper contexts for
understandings, interpretations and actions by stakeholders. The
papers presented suggest ways of changes, involving even
participant actors as changing agents, taking into account evolving
behaviors and human relations, policies and inter-institutional
frameworks, from many points of view. In the first part, various
aspects, notably economic and emotional, of innovative and
integrated approaches to long-term care are dealt with. Different
aspects are considered exemplified by legal, educational, economic,
environmental, cultural and those related to the perception of
aging, labor market for the elderly, perceived quality of life,
etc. The planning and management of social services are discussed
in terms of a functional, and effective and efficient system, with
the identification and analysis of actors and processes, and
transformation policies. This is done at the local, regional and
global levels.
This book explores several branches of the social sciences and
their perspectives regarding their relations with decision-making
processes: computer science, education, linguistics, sociology, and
management. The decision-making process in social contexts is based
on the analysis of sound alternatives using evaluative criteria.
Therefore, this process is one that can be rational or irrational,
and can be based on knowledge and/or beliefs. A decision-making
process always produces a final decision, which may or may not
imply prompt action, and increases the chances of choosing the best
possible alternative. The book is divided into four main parts. The
concepts covered in the first part, on computer science, explore
how the rise of algorithms and the growth in computing power over
the years can influence decision-making processes. In the second
part, some traditional and innovative ideas and methods used in
education are presented: compulsory schooling, inclusive schools,
higher education, etc. In turn, the third part focuses on
linguistics aspects, and examines how progress is manifested in
language. The fourth part, on sociology, explores how society can
be influenced by social norms, human interactions, culture, and
religion. Management, regarded as a science of the decision-making
process, is explored in the last part of this book. Selected
organizations' strategies, objectives and resources are presented,
e.g., human resources, financial resources, and technological
resources. The book gathers and presents, in a concise format, a
broad range of aspects regarding the decision-making process in
social contexts, making it a valuable and unique resource for the
scientific community.
This book offers a self-contained guide to advanced algorithms and
their applications in various fields of science. Gathering
contributions by authoritative researchers in the field of
mathematics, statistics and computer science, it aims at offering a
comprehensive and up-to-date view of algorithms, including the
theory behind them, as well as practical considerations, current
limitations and solutions. It covers applications in energy
management, decision making, computer networks, materials science,
mechanics and process optimization. It offers an integrated and
timely guide to important algorithms, and represents a valuable
reference resource for graduate students and researchers in various
fields of applied mathematics, statistics and engineering.
The main purpose of this book is not only to present recent studies
and advances in the field of social science research, but also to
stimulate discussion on related practical issues concerning
statistics, mathematics, and economics. Accordingly, a broad range
of tools and techniques that can be used to solve problems on these
topics are presented in detail in this book, which offers an ideal
reference work for all researchers interested in effective
quantitative and qualitative tools. The content is divided into
three major sections. The first, which is titled "Social work",
collects papers on problems related to the social sciences, e.g.
social cohesion, health, and digital technologies. Papers in the
second part, "Education and teaching issues," address qualitative
aspects, education, learning, violence, diversity, disability, and
ageing, while the book's final part, "Recent trends in qualitative
and quantitative models for socio-economic systems and social
work", features contributions on both qualitative and quantitative
issues. The book is based on a scientific collaboration, in the
social sciences, mathematics, statistics, and economics, among
experts from the "Pablo de Olavide" University of Seville (Spain),
the "University of Defence" of Brno (Czech Republic), the "G.
D'Annunzio" University of Chieti-Pescara (Italy) and "Alexandru
Ioan Cuza University" of Iasi (Romania). The contributions, which
have been selected using a peer-review process, examine a wide
variety of topics related to the social sciences in general, while
also highlighting new and intriguing empirical research conducted
in various countries. Given its scope, the book will appeal, in
equal measure, to sociologists, mathematicians, statisticians and
philosophers, and more generally to scholars and specialists in
related fields.
This book explores several branches of the social sciences and
their perspectives regarding their relations with decision-making
processes: computer science, education, linguistics, sociology, and
management. The decision-making process in social contexts is based
on the analysis of sound alternatives using evaluative criteria.
Therefore, this process is one that can be rational or irrational,
and can be based on knowledge and/or beliefs. A decision-making
process always produces a final decision, which may or may not
imply prompt action, and increases the chances of choosing the best
possible alternative. The book is divided into four main parts. The
concepts covered in the first part, on computer science, explore
how the rise of algorithms and the growth in computing power over
the years can influence decision-making processes. In the second
part, some traditional and innovative ideas and methods used in
education are presented: compulsory schooling, inclusive schools,
higher education, etc. In turn, the third part focuses on
linguistics aspects, and examines how progress is manifested in
language. The fourth part, on sociology, explores how society can
be influenced by social norms, human interactions, culture, and
religion. Management, regarded as a science of the decision-making
process, is explored in the last part of this book. Selected
organizations' strategies, objectives and resources are presented,
e.g., human resources, financial resources, and technological
resources. The book gathers and presents, in a concise format, a
broad range of aspects regarding the decision-making process in
social contexts, making it a valuable and unique resource for the
scientific community.
The main purpose of this book is not only to present recent studies
and advances in the field of social science research, but also to
stimulate discussion on related practical issues concerning
statistics, mathematics, and economics. Accordingly, a broad range
of tools and techniques that can be used to solve problems on these
topics are presented in detail in this book, which offers an ideal
reference work for all researchers interested in effective
quantitative and qualitative tools. The content is divided into
three major sections. The first, which is titled "Social work",
collects papers on problems related to the social sciences, e.g.
social cohesion, health, and digital technologies. Papers in the
second part, "Education and teaching issues," address qualitative
aspects, education, learning, violence, diversity, disability, and
ageing, while the book's final part, "Recent trends in qualitative
and quantitative models for socio-economic systems and social
work", features contributions on both qualitative and quantitative
issues. The book is based on a scientific collaboration, in the
social sciences, mathematics, statistics, and economics, among
experts from the "Pablo de Olavide" University of Seville (Spain),
the "University of Defence" of Brno (Czech Republic), the "G.
D'Annunzio" University of Chieti-Pescara (Italy) and "Alexandru
Ioan Cuza University" of Iasi (Romania). The contributions, which
have been selected using a peer-review process, examine a wide
variety of topics related to the social sciences in general, while
also highlighting new and intriguing empirical research conducted
in various countries. Given its scope, the book will appeal, in
equal measure, to sociologists, mathematicians, statisticians and
philosophers, and more generally to scholars and specialists in
related fields.
This book presents a broad spectrum of problems related to
statistics, mathematics, teaching, social science, and economics as
well as a range of tools and techniques that can be used to solve
these problems. It is the result of a scientific collaboration
between experts in the field of economic and social systems from
the University of Defence in Brno (Czech Republic), G. d'Annunzio
University of Chieti-Pescara (Italy), Pablo de Olavid eUniversity
of Sevilla (Spain), and Ovidius University in Constanta, (Romania).
The studies included were selected using a peer-review process and
reflect heterogeneity and complexity of economic and social
phenomena. They and present interesting empirical research from
around the globe and from several research fields, such as
statistics, decision making, mathematics, complexity, psychology,
sociology and economics. The volume is divided into two parts. The
first part, "Recent trends in mathematical and statistical models
for economic and social sciences", collects papers on quantitative
matters, which propose mathematical and statistical models for
social sciences, economics, finance, and business administration.
The second part, "Recent trends in qualitative theories for
economic and social sciences", includes papers on qualitative
matters, which discuss social, economic, and teaching issues. It is
an ideal reference work for all those researchers interested in
recent quantitative and qualitative tools. Covering a wide range of
topics, it appeals in equal measure to mathematicians,
statisticians, sociologists, philosophers, and specialists in the
fields of communication, social and political sciences.
This book presents a broad spectrum of problems related to
statistics, mathematics, teaching, social science, and economics as
well as a range of tools and techniques that can be used to solve
these problems. It is the result of a scientific collaboration
between experts in the field of economic and social systems from
the University of Defence in Brno (Czech Republic), G. d'Annunzio
University of Chieti-Pescara (Italy), Pablo de Olavid eUniversity
of Sevilla (Spain), and Ovidius University in Constanta, (Romania).
The studies included were selected using a peer-review process and
reflect heterogeneity and complexity of economic and social
phenomena. They and present interesting empirical research from
around the globe and from several research fields, such as
statistics, decision making, mathematics, complexity, psychology,
sociology and economics. The volume is divided into two parts. The
first part, "Recent trends in mathematical and statistical models
for economic and social sciences", collects papers on quantitative
matters, which propose mathematical and statistical models for
social sciences, economics, finance, and business administration.
The second part, "Recent trends in qualitative theories for
economic and social sciences", includes papers on qualitative
matters, which discuss social, economic, and teaching issues. It is
an ideal reference work for all those researchers interested in
recent quantitative and qualitative tools. Covering a wide range of
topics, it appeals in equal measure to mathematicians,
statisticians, sociologists, philosophers, and specialists in the
fields of communication, social and political sciences.
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