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1000 tulosta hakusanalla Michael Stephan

Ökonomische Ökologie

Ökonomische Ökologie

Gunter Stephan; Michael Ahlheim

Springer-Verlag Berlin and Heidelberg GmbH Co. K
1996
nidottu
Ökonomische Ökologie ist die Analyse ökologischer Probleme aus einer wirtschaftswissenschaftlichen Perspektive unter Einsatz von Konzepten, Ideen und analytischen Hilfsmitteln, die in der ökonomischen Theorie entwickelt wurden. Ökonomische Ökologie beschäftigt sich mit der Frage, wie und warum Menschen Entscheidungen fällen, deren Konsequenzen nicht nur sie selbst und ihre Mitmenschen, sondern auch die Natur betreffen. Sie beschäftigt sich insbesondere mit der Frage, wie ökonomische Institutionen, wie Politiken so geändert werden können, daß langfristig ein Ausgleich, eine Versöhnung möglich wird zwischen den menschlichen Bedürfnissen, ihrem Recht auf Souveränität und Freiheit und dem Ziel, die Natur zu bewahren.
Numerical Simulation in Molecular Dynamics

Numerical Simulation in Molecular Dynamics

Michael Griebel; Stephan Knapek; Gerhard Zumbusch

Springer-Verlag Berlin and Heidelberg GmbH Co. K
2007
sidottu
Particle models play an important role in many applications in physics, chemistry and biology. They can be studied on the computer with the help of molecular dynamics simulations. This book presents in detail both the necessary numerical methods and techniques (linked-cell method, SPME-method, tree codes, multipole technique) and the theoretical background and foundations. It illustrates the aspects modelling, discretization, algorithms and their parallel implementation with MPI on computer systems with distributed memory. Furthermore, detailed explanations are given to the different steps of numerical simulation, and code examples are provided. With the description of the algorithms and the presentation of the results of various simulations from the areas material science, nanotechnology, biochemistry and astrophysics, the reader of this book will be able to write his own programs for molecular dynamics step by step and to run successful experiments.
Numerical Simulation in Molecular Dynamics

Numerical Simulation in Molecular Dynamics

Michael Griebel; Stephan Knapek; Gerhard Zumbusch

Springer-Verlag Berlin and Heidelberg GmbH Co. K
2010
nidottu
Particle models play an important role in many applications in physics, chemistry and biology. They can be studied on the computer with the help of molecular dynamics simulations. This book presents in detail both the necessary numerical methods and techniques (linked-cell method, SPME-method, tree codes, multipole technique) and the theoretical background and foundations. It illustrates the aspects modelling, discretization, algorithms and their parallel implementation with MPI on computer systems with distributed memory. Furthermore, detailed explanations are given to the different steps of numerical simulation, and code examples are provided. With the description of the algorithms and the presentation of the results of various simulations from the areas material science, nanotechnology, biochemistry and astrophysics, the reader of this book will be able to write his own programs for molecular dynamics step by step and to run successful experiments.
South Pacific

South Pacific

Michael Runkel; Stephan Weissenborn

Koenemann.Com GmbH
2020
sidottu
The natural beauties of Oceania's island world, scattered far across the South Pacific and divided into the cultural areas of Polynesia, Micronesia and Melanesia, are overwhelming. But besides lonely palm islands, ever-warm lagoons and colorful coral reefs, there are also more rugged beauties such as the volcanic islands of Marquesas, where beaches are rare. The book shows in over 400 photographs the unique beauty of the region.
Advanced Space Propulsion

Advanced Space Propulsion

Michael Paluszek; Stephanie J. Thomas; Christopher A. Galea; Parisa Mirdamadi; Joyce Mo

Elsevier - Health Sciences Division
2026
nidottu
Over the past several decades, hoping for accelerated scientific returns, the space industry has eagerly researched propulsion. This has resulted in an array of breakthrough technologies that would allow not only more rapid missions to further study the planets and asteroids within our solar system, but also ventures to distant destinations into deep space, or even enabling human settlements on the moon, Mars, and beyond. Advanced Space Propulsion: Technologies, Missions, and Computer Modeling includes coverage of all these technologies in an integrated manner. The volume, written by a team of sector-specific R&D experts, touches upon fundamentals cardinal to the understanding of [i] orbit theory and its implications for control, estimation, and optimization of trajectory and attitude and [ii] how each mission is designed (depending primarily on the mass of the payload, but also on how far from Earth the launch vehicle needs to go), and then succeeds in consolidating them with software and computer applications for simulations and modeling. It continues with a discussion on the complete gamut of in-space propulsion power sources and concludes with both human and robotic mission-related case studies and future implementation examples. The outcome is a carefully calibrated and self-contained resource that will prove to be invaluable for graduate and senior undergraduate students, researchers, scientists, and engineering professionals alike.
Law, Science, Liberalism and the American Way of Warfare

Law, Science, Liberalism and the American Way of Warfare

Carvin Stephanie; Williams Michael John

Cambridge University Press
2014
sidottu
Founded and rooted in Enlightenment values, the United States is caught between two conflicting imperatives when it comes to war: achieving perfect security through the annihilation of threats; and a requirement to conduct itself in a liberal and humane manner. In order to reconcile these often clashing requirements, the US has often turned to its scientists and laboratories to find strategies and weapons that are both decisive and humane. In effect, a modern faith in science and technology to overcome life's problems has been utilized to create a distinctly 'American Way of Warfare'. Carvin and Williams provide a framework to understand the successes and failures of the US in the wars it has fought since the days of the early Republic through to the War on Terror. It is the first book of its kind to combine a study of technology, law and liberalism in American warfare.
MATLAB Recipes

MATLAB Recipes

Michael Paluszek; Stephanie Thomas

APress
2021
nidottu
Learn from state-of-the-art examples in robotics, motors, detection filters, chemical processes, aircraft, and spacecraft. With this book you will review contemporary MATLAB coding including the latest MATLAB language features and use MATLAB as a software development environment including code organization, GUI development, and algorithm design and testing. Features now covered include the new graph and digraph classes for charts and networks; interactive documents that combine text, code, and output; a new development environment for building apps; locally defined functions in scripts; automatic expansion of dimensions; tall arrays for big data; the new string type; new functions to encode/decode JSON; handling non-English languages; the new class architecture; the Mocking framework; an engine API for Java; the cloud-based MATLAB desktop; the memoize function; and heatmap charts. MATLAB Recipes: A Problem-Solution Approach, Second Edition provides practical, hands-on code snippets and guidance for using MATLAB to build a body of code you can turn to time and again for solving technical problems in your work. Develop algorithms, test them, visualize the results, and pass the code along to others to create a functional code base for your firm. What You Will Learn Get up to date with the latest MATLAB up to and including MATLAB 2020bCode in MATLABWrite applications in MATLABBuild your own toolbox of MATLAB code to increase your efficiency and effectiveness Who This Book Is For Engineers, data scientists, and students wanting a book rich in examples using MATLAB.
Practical MATLAB Deep Learning

Practical MATLAB Deep Learning

Michael Paluszek; Stephanie Thomas; Eric Ham

APRESS
2022
nidottu
Harness the power of MATLAB for deep-learning challenges. Practical MATLAB Deep Learning, Second Edition, remains a one-of a-kind book that provides an introduction to deep learning and using MATLAB's deep-learning toolboxes. In this book, you’ll see how these toolboxes provide the complete set of functions needed to implement all aspects of deep learning. This edition includes new and expanded projects, and covers generative deep learning and reinforcement learning. Over the course of the book, you'll learn to model complex systems and apply deep learning to problems in those areas. Applications include: Aircraft navigationAn aircraft that lands on Titan, the moon of Saturn, using reinforcement learningStock market predictionNatural language processingMusic creation usng generative deep learningPlasma controlEarth sensor processing for spacecraftMATLAB Bluetooth data acquisition applied to dance physics What You Will LearnExplore deep learning using MATLAB and compare it to algorithmsWrite a deep learning function in MATLAB and train it with examplesUse MATLAB toolboxes related to deep learningImplement tokamak disruption predictionNow includes reinforcement learningWho This Book Is For Engineers, data scientists, and students wanting a book rich in examples on deep learning using MATLAB.
MATLAB Machine Learning Recipes

MATLAB Machine Learning Recipes

Michael Paluszek; Stephanie Thomas

APRESS
2024
nidottu
Harness the power of MATLAB to resolve a wide range of machine learning challenges. This new and updated third edition provides examples of technologies critical to machine learning. Each example solves a real-world problem, and all code provided is executable. You can easily look up a particular problem and follow the steps in the solution.This book has something for everyone interested in machine learning. It also has material that will allow those with an interest in other technology areas to see how machine learning and MATLAB can help them solve problems in their areas of expertise. The chapter on data representation and MATLAB graphics includes new data types and additional graphics. Chapters on fuzzy logic, simple neural nets, and autonomous driving have new examples added. And there is a new chapter on spacecraft attitude determination using neural nets. Authors Michael Paluszek and Stephanie Thomas show how all of these technologies allow you to build sophisticated applications to solve problems with pattern recognition, autonomous driving, expert systems, and much more.What You Will LearnWrite code for machine learning, adaptive control, and estimation using MATLABUse MATLAB graphics and visualization tools for machine learningBecome familiar with neural netsBuild expert systemsUnderstand adaptive controlGain knowledge of Kalman FiltersWho This Book Is ForSoftware engineers, control engineers, university faculty, undergraduate and graduate students, hobbyists.
The Internship Handbook

The Internship Handbook

Michael Strawser; Stephanie Smith; Lauren Pieper Coffey

Cognella, Inc
2024
pokkari
The Internship Handbook is designed to prepare students and then guide them through the internship experience. It combines theoretical knowledge to help readers better understand their personalities, traits, values, and strengths with practical activities such as discussion questions and activities to streamline the internship process.The handbook begins with self-assessment, encouraging readers to engage in self-awareness and exploration to identify their personal strengths and professional values. Succeeding chapters detail how to navigate the job market, emphasizing the importance of networking, and presenting strategies for the application process. The book offers insight into the dynamics of securing an internship, thriving within one, and transitioning smoothly at its conclusion. It places a strong emphasis on the development of soft skills alongside the acquisition of professional competencies, describing internships as pivotal to gaining practical experience while facilitating reflection on personal growth and career paths.The Internship Handbook is an excellent resource for students embarking upon the internship experience. It could also be used in courses or programs focused on career development and professional readiness.
Diagnostic d'intervention dans le domaine de l'affectivité: Des mesures psychométriques aux séries temporelles

Diagnostic d'intervention dans le domaine de l'affectivité: Des mesures psychométriques aux séries temporelles

Michael Reicherts; Stéphanie Haymoz; Philippe a. Genoud

Verlag Fur Psychosoziale Medien
2020
nidottu
Le pr sent volume rassemble les l ments cl s du diagnostic d'intervention, illustr s par divers exemples dans le domaine de l'affectivit . Il pr sente non seulement les principes, la logique et les d marches sous-tendant les instruments psychom triques (p.ex. tests et chelles d' valuation traitiste ) mais aussi les analyses de s ries temporelles (p.ex. mesures de self-monitoring au quotidien) ainsi que les tests orient s vers le crit re (p.ex. valuations des comp tences de ma trise). Les bases conceptuelles et le d roulement de ces trois approches diagnostiques sont pr sent s dans le d tail (m thodes, calculs et interpr tations). Etay s par des d marches statistiques solides, ils soutiennent un diagnostic d'intervention appropri qui inclut l' volution des processus et l'atteinte des objectifs. L'ouvrage propose galement de nombreux exemples issus de la psychologie clinique et de la sant ainsi que de l' ducation. Le livre s'adresse toute personne int ress e au diagnostic d'intervention dans la pratique psychosociale fond e sur l' vidence empirique: praticiens, chercheurs et tudiants en psychologie, psychoth rapie, sciences de l' ducation ou travail social.
Linear And Nonlinear Optimization Using Spreadsheets: Examples For Prescriptive, Predictive And Descriptive Analytics
The use of spreadsheets to obtain solutions to a diverse array of examples offers a reader-friendly way of addressing a topic (optimization) that can sometimes be viewed as intimidating. Many people are readily familiar with spreadsheets and how they work, yet are apt to be unaware of the incredible power of Excel for solving some rather complex optimization problems. A major goal of the book is to sell readers on why it is so important to understand optimization, and a large collection of examples for a wide range of business decision making areas (e.g., production planning and scheduling, workforce planning and scheduling, location and supply chain distribution, location of emergency services, assembly line balancing, vehicle routing, project scheduling, revenue management, advertising, product design, payout schedules, productivity measurement, investment portfolio management, sports league scheduling, ranking models, etc.) affords a practical mechanism for achieving that goal. Another important contribution of the book is that it provides coverage of the mechanics of some common yet sophisticated statistical methods (regression, logistic regression, discriminant analysis, factor analysis, and cluster analysis), which are often opaque to many users of such methods.