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Hagiwara I: Origami Engineering:
Combining Science, Art, And Industry

Origami Engineering: Combining Science, Art, And Industry

Smart Thinking

Mathematical answers to life’s key questions

Why Don’t Rabbits Rule The World?

Advances in Organometallic Chemistry

Advances in Organometallic Chemistry: Volume 83

Modeling of Combustion Systems provides accessible instruction for the operator or engineer to model combustion responses such as NOx, CO, flame dimensions, heat flux, or others as a function of input factors such as excess oxygen, volumetric heat release, and fuel composition.

A Practical Approach

Modeling of Combustion Systems

Introduction to Digital Communications

Motion is the essence of any mechanical system. Analyzing a system’s dynamical response to distinct motion parameters allows for increased understanding of its performance thresholds and can in turn provide clear data to inform improved system designs. Modeling of Complex Dynamic Systems: Fundamentals and Applications equips readers with significant insights into nonlinear vibration phenomenology through a combination of advanced mathematical fundamentals and worked-through modeling experiments. To guide them in determining novel stabilization characteristics for complex moving objects, coupled structures, as well as the stochastic stability of mechanical systems, the technical and methodological analysis is accompanied by industry-relevant practical examples, contributing much sought-after applicable knowledge. The book is intended for use by postgraduate students, academic researchers, and professional engineers alike.

Fundamentals and Applications

Modeling of Complex Dynamic Systems

Foundations of Mathematical Modeling and Analysis in Engineering

Mathematical Engineering

This monograph offers a novel structural perspective on the modelling of engineering problems, utilizing abstract mathematics in the form of category theory.Specifically, the book aims to enhance the understanding of mathematical modelling by developing a category theory-based framework. Category theory is employed to establish clear relationships between mathematical models and their complexities. The theory is then extended to encompass coupled mathematical models, incorporating more advanced categorical structures. To bridge theory and practice, the book presents engineering applications of the abstract categorical framework, providing various modelling examples from real-world engineering scenarios. Additionally, it introduces initial concepts for automatic model generation and error detection in modelling.The theory developed here demonstrates the practical utility of category theory, making this book a valuable resource for researchers in applied mathematics and engineering, particularly those focused on theoretical foundations of modelling.

Abstract Perspectives on Models and Coupling of Models

Mathematical Modelling by Help of Category Theory

These lecture notes offer a general overview of a two-dimensional topological field theory called the Poisson Sigma Model. It is based on a series of talks given by the author at the University of California, Berkeley and the University of Massachusetts, Amherst in the fall of 2018 and the spring of 2019. This book contains an introduction to symplectic, Poisson and graded geometry, the path space construction for Lie algebroids via the reduced phase space of the Poisson Sigma Model, and the Cattaneo-Felder interpretation of Kontsevich's star product via Feynman diagrams. It also describes in detail particular cases of the Poisson Sigma Model, including constant, linear (2-dimensional BF-theory) and quadratic Poisson structures. The target audience of this book is graduate students and researchers with an interest in the mathematical aspects of classical and quantum field theory. No prior exposure to physics or Poisson geometry is required.

Introduction To The Poisson Sigma Model, An

Why Not Nonlinear Algebra: Math, Science, Applications And Funding

Interdisciplinarity In The Sciences: Nonlinear Dynamics, Chaos And Complexity

Dynamics and Astrophysics of Galaxies

An engaging and accessible presentation of the most famous algorithms and applications of quantum computingThe Joy of Quantum Computing introduces quantum computing succinctly, and with minimal mathematical formalism. Engagingly written-a feast for the reader's inner nerd-it presents the most famous algorithms and applications of quantum computing and quantum information science, including the "killer apps," Grover's search algorithm, and Shor's factoring algorithm. The only prerequisite is precalculus; readers need no knowledge of quantum physics. Matrices are relegated to the (completely optional) final two chapters. The book shows readers that quantum information science is about more than just high-speed calculations and data security. It is also about the fundamental meaning of quantum mechanics and the ultimate nature of reality. The Joy of Quantum Computing is suitable for classroom use or independent study by questing autodidacts. ¿ Offers detailed explanations of quantum circuits, quantum algorithms, and quantum mysteries¿ Explains how to apply quantum information science to cryptography (and how Shor's algorithm menaces classical cryptography)¿ Introduces the mystifying topics of quantum teleportation and the no-cloning theorem¿ Discusses Bell inequalities, which permit experimental tests of philosophical assumptions¿ Presents a simple model of quantum decoherence, shedding light on Schrodinger's mysterious cat

A Concise Introduction

The Joy of Quantum Computing

Origami Engineering: Combining Science, Art, And Industry

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