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Bartneck Christoph: SWIM TRAINING
PATTERNS

SWIM TRAINING PATTERNS

Plan your Training Sessions with the Power of Mathematics

1. Introduction 2. Language 3. Swimming Markup Language 4. Patterns 5. Regular Programs 6. Tools 7. swiML Schema Reference

Calculus for the Curious

Springer Handbooks

Springer Handbook of Reliability

This open access book presents the results of the project “SysML Workbench for the SPES Methodology” (SpesML), funded by the German Ministry of Education and Research. SpesML is a modeling language that supports the proven SPES methodology by a carefully selected subset of SysML language elements together with a precise semantic interpretation enabling advanced analyses.The book begins with an introduction to the SpesML project in Chapter 1 and the SPES modeling language (SpesML) in Chapter 2. Next, Chapter 3 discusses the introduction of Model-based Systems Engineering (MBSE) in industry and details the challenges faced by industrial practitioners. It also introduces a running example used throughout the book to demonstrate the application and tool implementation of SpesML. Chapter 4 introduces the SPES methodology. Starting with the fundamental principles applied in SPES, it briefly describes the underlying modeling theory and the&nbsp;Universal Interface Model&nbsp;(UIM)concept. Chapter 5 details the subset of language elements of SysML used in SpesML and introduces the concept of expressions as an extension of SysML for formal behavior descriptions. Chapter 6 continues with the realization of the core building blocks in SPES (UIM, viewpoints, granularity layers) through SpesML language elements. Chapter 7 then describes the implementation of a SpesML plugin on top of MagicDraw. Eventually, Chapter 8 introduces three industry case studies, and Chapter 9 concludes with a summary and an outlook.This open access book is written for both researchers in model-based systems engineering and for industry professionals exploiting model-based approaches for systems development. It adds to the development of the SPES methodology described in the three books “Model-Based Engineering of Embedded Systems”, “Advanced Model-Based Engineering of Embedded Systems”, and “Model-Based Engineering of Collaborative Embedded Systems”.

This open access book presents the results of the project “SysML Workbench for the SPES Methodology” (SpesML), funded by the German Ministry of Education and Research. SpesML is a modeling language that supports the proven SPES methodology by a carefully selected subset of SysML language elements together with a precise semantic interpretation enabling advanced analyses.The book begins with an introduction to the SpesML project in Chapter 1 and the SPES modeling language (SpesML) in Chapter 2. Next, Chapter 3 discusses the introduction of Model-based Systems Engineering (MBSE) in industry and details the challenges faced by industrial practitioners. It also introduces a running example used throughout the book to demonstrate the application and tool implementation of SpesML. Chapter 4 introduces the SPES methodology. Starting with the fundamental principles applied in SPES, it briefly describes the underlying modeling theory and the Universal Interface Model (UIM)concept. Chapter 5 details the subset of language elements of SysML used in SpesML and introduces the concept of expressions as an extension of SysML for formal behavior descriptions. Chapter 6 continues with the realization of the core building blocks in SPES (UIM, viewpoints, granularity layers) through SpesML language elements. Chapter 7 then describes the implementation of a SpesML plugin on top of MagicDraw. Eventually, Chapter 8 introduces three industry case studies, and Chapter 9 concludes with a summary and an outlook. This open access book is written for both researchers in model-based systems engineering and for industry professionals exploiting model-based approaches for systems development. It adds to the development of the SPES methodology described in the three books “Model-Based Engineering of Embedded Systems”, “Advanced Model-Based Engineering of Embedded Systems”, and “Model-Based Engineering of Collaborative Embedded Systems”.

A SysML Workbench for the SPES Methodology

Model-Based Systems Engineering with the SPES Modeling Language

Routledge Research in Sports History

Since their inception in 1930 as the British Empire Games, the Commonwealth Games have developed into one of the world’s major sporting mega-events, with 5,000 athletes competing in Glasgow 2014 representing countries covering one third of the world’s population. This is the first book to survey the entire history of the Commonwealth Games and to explore their significance in the context of sporting political history. It examines the relationship between the Games and the Commonwealth organisation more generally; evaluates the development of the Games themselves, and analyses the key issues which have shaped their political and historical development.

A Political History

The Commonwealth Games

This book presents a comprehensive treatment of pricing and hedging soccer betting contracts using the modern techniques of probability, statistics, finance, and portfolio management. It introduces betting in general and then addresses the probabilistic intuition needed in the more complex world of soccer betting. The author presents an innovative perspective by thinking about betting odds in terms of the expected number of goals of both teams. In addition, when the betting market is in play, the book treats betting before the game and during the game separately.

This book presents a comprehensive treatment of pricing and hedging soccer betting contracts using the modern techniques of probability, statistics, finance, and portfolio management. It introduces betting in general and then addresses the probabilistic intuition needed in the more complex world of soccer betting. The author presents an innovative perspective by thinking about betting odds in terms of the expected number of goals of both teams. In addition, when the betting market is in play, the book treats betting before the game and during the game separately.

Science of Soccer Statistics

Soccermetrics

Scaling (zooming in or out) is taking a close or distant view of an object. Infinite scaling (the scaling parameter tends to zero or infinity) may lead to a limit which is self-similar and much simpler than the original object. For instance, the classical Donsker's theorem says that all weakly dependent stationary processes with finite variance scale to Brownian motion at large scales. In the case of a random field indexed by two-dimensional parameter, both types of scaling can be anisotropic, meaning that the horizontal and vertical axes are scaled at different rate determined by the ratio γ&gt;0 of the scaling exponents along the axes. The natural questions under such scaling are whether the scaling limits exist for any γ&gt;0, and what are these limits are. The book tries to answer these questions. It introduces the concept of scaling transition and discusses its existence for a natural class of planar random fields including Gaussian, linear and some nonlinear ones. The scaling limits are identified and exhibit a surprising trichitomy at a critical point γ0, with 'unbalanced' limits having unusual path properties and dependence structure along one of the coordinate axes. Scaling transition occurs in applied sciences (telecommunications and econometrics) when aggregating independent processes with long-range dependence in which case 'unbalanced' limits are classical Gaussian or stable random fields.

Anisotropic Scaling Of Random Fields With Long-range Dependence: Scaling Limits Of Random Fields With Applications

This book is the first one that shows how to accurately and efficiently solve time-varying problems in real-time or online using continuous- or discrete-time zeroing dynamics. The authors provide a comprehensive treatment of the theory of both static and dynamic neural networks. They develop, analyze, model, simulate, and compare zeroing dynamics models for the online solution of numerous time-varying problems, such as root finding, nonlinear equation solving, matrix inversion, matrix square root finding, quadratic optimization, and inequality solving.

Neural networks and neural dynamics are powerful approaches for the online solution of mathematical problems arising in many areas of science, engineering, and business. Compared with conventional gradient neural networks that only deal with static problems of constant coefficient matrices and vectors, the authors’ new method called zeroing dynamics solves time-varying problems. Zeroing Dynamics, Gradient Dynamics, and Newton Iterations is the first book that shows how to accurately and efficiently solve time-varying problems in real-time or online using continuous- or discrete-time zeroing dynamics. The book brings together research in the developing fields of neural networks, neural dynamics, computer mathematics, numerical algorithms, time-varying computation and optimization, simulation and modeling, analog and digital hardware, and fractals.The authors provide a comprehensive treatment of the theory of both static and dynamic neural networks. Readers will discover how novel theoretical results have been successfully applied to many practical problems. The authors develop, analyze, model, simulate, and compare zeroing dynamics models for the online solution of numerous time-varying problems, such as root finding, nonlinear equation solving, matrix inversion, matrix square root finding, quadratic optimization, and inequality solving.

Zeroing Dynamics, Gradient Dynamics, and Newton Iterations

While the field of Deep Learning has been advancing at frightening speeds during the last ten years, we do not have a plausible theoretical explanation of its success yet. One can safely say that Deep Learning works, but nobody really understands why. Nevertheless, starting around five years before now, a decent number of theoretical papers specifically concerning neural nets started to emerge at top machine learning venues. This makes us think that the core of Deep Learning theory has already started to crystallize.The goal of the present book is to present these core concepts of Deep Learning theory to readers so that they could directly dive into recent papers of this area. For this purpose, each chapter elaborates a simple model or a classical result in details first and then discusses possible generalizations and more recent developments of the same idea.We have to warn the reader that the present book is not a mathematical manuscript. Not all results here are stated as formal theorems and not all theorems are provided with complete and rigorous proofs. Many of the theorems of the book are proven up to some technical lemmas, while for some there is only a proof sketch. This conforms with the main idea of the book: present and illustrate concepts rather than reproduce all the results.The book, in its present form, covers the following topics: uniform generalization bounds, PAC-bayesian generalization bounds, double descent phenomena, infinitely-wide networks, implicit bias of gradient descent, loss landscape, gradient descent convergence guarantees, and initialization strategies.

Elements Of Deep Learning Theory

This book covers a broad range of questions related to the importance of cell geometry in many areas, including nuclear positioning, chromosome dynamics, cytoskeletal remodeling, tissue patterning, cell-matrix and multicellular contacts. It also addresses medical implications, from its implication in the development of tumors to its role in fibrosis. Together, the chapters in this book will highlight current knowledge and modern approaches to investigating the biophysical design principles underlying key biological functions, with the overall goal of elucidating the connections between cell geometry and nuclear mechanics.

This book covers a broad range of questions related to the importance of cell geometry in many areas, including nuclear positioning, chromosome dynamics, cytoskeletal remodeling, tissue patterning, cell-matrix and multicellular contacts. It also addresses medical implications, from its implication in the development of tumors to its role in fibrosis. Together, the chapters in this book will highlight current knowledge and modern approaches to investigating the biophysical design principles underlying key biological functions, with the overall goal of elucidating the connections between cell geometry and nuclear mechanics.

Cell Geometry

The Rust Programming Language, 3rd Edition

In this volume various aspects of non-Archimedean quantum systems are discussed, such as spectral properties of their Schrödinger operators, and their ability to be approximated by finite systems. Non-Archimedean stochastic methods are also discussed.

Quantum Systems And Finite Approximations: Archimedean And Non-archimedean

The Beginner’s 5k Running Guide for Women

Start Where You Are

SWIM TRAINING PATTERNS

Bibliografische Angaben

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Schlagworte

Bibliografische Angaben

Inhaltsverzeichnis

Schlagworte

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