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The Visual Language of Technique: Volume 1 - History and Epistemology
The Visual Language of Technique: Volume 1 - History and Epistemology

The book is inspired by the first seminar in a cycle connected to the celebrations of the 150th anniversary of the Politecnico di Milano. "Dealing with the Image Ivory Towers and Virtual Bridges" was the motto of this meeting, aiming to stimulate a discussion among engineers, designers and architects, all of whom are...

How Nature Works: Complexity in Interdisciplinary Research and Applications (Emergence, Complexity and Computation)
How Nature Works: Complexity in Interdisciplinary Research and Applications (Emergence, Complexity and Computation)

This book is based on the outcome of the “2012 Interdisciplinary Symposium on Complex Systems” held at the island of Kos.  The book consists of 12 selected papers of the symposium starting with a comprehensive overview and classification of complexity problems, continuing by chapters about complexity, its observation,...

Handbook of Systems and Complexity in Health
Handbook of Systems and Complexity in Health

This book is an introduction to health care as a complex adaptive system, a system that feeds back on itself. The first section introduces systems and complexity theory from a science, historical, epistemological, and technical perspective, describing the principles and mathematics. Subsequent sections build on the health applications of...

Statistical Approach to Quantum Field Theory: An Introduction (Lecture Notes in Physics)
Statistical Approach to Quantum Field Theory: An Introduction (Lecture Notes in Physics)

Over the past few decades the powerful methods of statistical physics and Euclidean quantum field theory have moved closer together, with common tools based on the use of path integrals. The interpretation of Euclidean field theories as particular systems of statistical physics has opened up new avenues for understanding strongly coupled...

Handbook of Market Risk
Handbook of Market Risk

A ONE-STOP GUIDE FOR THE THEORIES, APPLICATIONS, AND STATISTICAL METHODOLOGIES OF MARKET RISK

Understanding and investigating the impacts of market risk on the financial landscape is crucial in preventing crises. Written by a hedge fund specialist, the Handbook of Market Risk is the comprehensive guide to the subject of...

Think DSP: Digital Signal Processing in Python
Think DSP: Digital Signal Processing in Python

If you understand basic mathematics and know how to program with Python, you’re ready to dive into signal processing. While most resources start with theory to teach this complex subject, this practical book introduces techniques by showing you how they’re applied in the real world. In the first chapter alone,...

Monte Carlo and Quasi-Monte Carlo Methods 2012 (Springer Proceedings in Mathematics & Statistics)
Monte Carlo and Quasi-Monte Carlo Methods 2012 (Springer Proceedings in Mathematics & Statistics)

This book represents the refereed proceedings of the Tenth International Conference on Monte Carlo and Quasi-Monte Carlo Methods in Scientific Computing that was held at the University of New South Wales (Australia) in February 2012. These biennial conferences are major events for Monte Carlo and the premiere event for quasi-Monte Carlo...

Heat Conduction
Heat Conduction

The long-awaited revision of the bestseller on heat conduction

Heat Conduction, Third Edition is an update of the classic text on heat conduction, replacing some of the coverage of numerical methods with content on micro- and nanoscale heat transfer. With an emphasis on the mathematics and underlying physics, this new...

Map Construction Algorithms
Map Construction Algorithms

The book provides an overview of the state-of-the-art of map construction algorithms, which use tracking data in the form of trajectories to generate vector maps. The most common trajectory type is GPS-based trajectories. It introduces three emerging algorithmic categories, outlines their general algorithmic ideas, and discusses three...

Machine Learning Projects for .NET Developers
Machine Learning Projects for .NET Developers

Machine Learning Projects for .NET Developers shows you how to build smarter .NET applications that learn from data, using simple algorithms and techniques that can be applied to a wide range of real-world problems. You’ll code each project in the familiar setting of Visual Studio, while the machine learning logic uses F#, a...

Mathematica®: A Problem-Centered Approach (Springer Undergraduate Mathematics Series)
Mathematica®: A Problem-Centered Approach (Springer Undergraduate Mathematics Series)

An introduction to the vast array of features and powerful mathematical functions of Mathematica that uses a multitude of clearly presented examples and worked-out problems that enable the reader to learn from the codes and avoids lengthy explanations.

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Constrained Optimization and Optimal Control for Partial Differential Equations (International Series of Numerical Mathematics)
Constrained Optimization and Optimal Control for Partial Differential Equations (International Series of Numerical Mathematics)

This special volume focuses on optimization and control of processes governed by partial differential equations. The contributors are mostly participants of the DFG-priority program 1253: Optimization with PDE-constraints which is active since 2006. The book is organized in sections which cover almost the entire spectrum of modern research in...

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