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Moss Elise: Autodesk Revit 2026
Architecture Basics

Autodesk Revit 2026 Architecture Basics

From the Ground Up

Quantum Communication and Cryptography introduces readers to the theory of quantum cryptography, with a focus will on quantum key distribution (QKD) and more advanced quantum cryptographic protocols beyond QKD. It contains a brief introduction to the field of modern cryptography that is needed to fully appreciate and understand how quantum cryptographic systems are proven secure, and how they can be safely used in combination with current day classical systems. Readers are then introduced to quantum key distribution (QKD) - perhaps the most celebrated, and currently the most practical, of quantum cryptographic techniques. Basic protocols are described, and security proofs are given, providing readers with the knowledge needed to understand how QKD protocols are proven secure using modern, state- of-the-art definitions of security. Following this, more advanced QKD protocols are discussed, along with alternative quantum and classical methods to improve QKD performance. Finally, alternative quantum cryptographic protocols are covered, along with a discussion on some of the practical considerations of quantum secure communication technology. Throughout, protocols are described in a clear and consistent manner that still provides comprehensive, theoretical proofs and methods.

Quantum Communication and Cryptography

Smart Technologies and Digital Transformation in Additive Manufacturing

Woodhead Publishing Series in Civil and Structural Engineering

Emerging Concepts and Technologies

Net Zero Transition in Buildings

Expert reference on building surrogate models, optimization using them, prediction uncertainty associate with them, and their potential failure, with practical implementation in MATLAB Surrogate Modeling and Optimization explains the meaning of different surrogate models and provides an in-depth understanding of such surrogates, emphasizing how much uncertainty is associated with them, and when and how a surrogate model can fail in approximating complex functions and helping readers understand theory through practical implementation in MATLAB. This book enables readers to obtain an accurate approximate function using as few samples as possible, thereby allowing them to replace expensive computer simulations and experiments during design optimization, sensitivity analysis, and/or uncertainty quantification. The book is organized into three parts. Part I introduces the basics of surrogate modeling. Part II reviews various theories and algorithms of design optimization. Part III presents advanced topics in surrogate modeling, including the Kriging surrogate, neural network models, multi-fidelity surrogates, and efficient global optimization using Kriging surrogates. The book is divided into 10 chapters. Each chapter contains about 10 examples and 20 exercise problems. Lecture slides and a solution manual for exercise problems are available for instructors on a companion website. Sample topics discussed in Surrogate Modeling and Optimization include: <ul> <li>Various designs of experiments, such as those developed for linear and quadratic polynomial response surfaces (PRS) in a boxlike design space</li> <li>Criteria for constrained and unconstrained optimization and the most important optimization theories</li> <li>Various numerical algorithms for gradient-based optimization</li> <li>Gradient-free optimization algorithms, often referred to as global search algorithms, which do not require gradient or Hessian information</li> <li>Detailed explanations and implementation on Kriging surrogate, often referred to as Gaussian Process, especially when samples include noise</li> <li>The combination of a small number of high-fidelity samples with many low-fidelity samples to improve prediction accuracy</li> <li>Neural network models, focusing on training uncertainty and its effect on prediction uncertainty</li> <li>Efficient global optimization using either polynomial response surfaces or Kriging surrofates</li> </ul> Surrogate Modeling and Optimization is an essential learning companion for senior-level undergraduate and graduate students in all engineering disciplines, including mechanical, aerospace, civil, biomedical, and electrical engineering. The book is also valuable for industrial practitioners who apply the surrogate model to solve their optimization problems.

Theories, Applications, and Limitations

Surrogate Modeling and Optimization

Applications of Starches in Food and Packaging

Methods, Properties, and Applications

Starch Nanoparticles

Data Analytics for Sustainability

Thermodynamics is a cornerstone of engineering and the physical sciences to better understand the principles governing energy, heat, and matter.This unique compendium explores its foundational concepts to advanced applications in modern technology. The book provides an integrated treatment of key topics, including the thermophysical properties of materials, the behavior of pure substances, and the fundamentals of energy transfer. Each chapter takes the reader from basic principles such as force, work, and energy, through to the complexities of entropy, energy balance equations, and their applications in real-world systems.The useful reference text benefits professionals, academics, researchers, and graduate students in mechanical engineering, aerospace engineering and chemical engineering.

Thermal Engineering: A Unified Approach

A Path to Sustainable Development Goals

AI and ML Techniques in IoT-based Communication

Design Principles and Construction Techniques

Mass Timber Handbook

Woodhead Publishing Reviews: Mechanical Engineering Series

Technological progress in composite manufacturing has revolutionized industries such as aerospace, automotive, construction, and sports equipment. These materials boast a compelling combination of high strength-to-weight ratio, corrosion resistance, and design flexibility. Advanced Manufacturing and Joining Technologies for Composite Materials delves into pivotal advancements that have enhanced performance and cost-effectiveness. Automation and robotics have transformed manufacturing processes, with techniques like automated fiber placement and automated tape laying ensuring precise and consistent reinforcement fiber placement. This minimizes human error, improves repeatability, and expedites production. Material science breakthroughs have given rise to smart composites capable of sensing, responding, and adapting to environmental changes. These smart composites find applications in structural health monitoring, shape-shifting structures, and adaptive aerodynamics. The book covers topics not commonly addressed in other references, including automated composite manufacturing, out-of-autoclave curing, nanostructured composites, smart composites, recycling and sustainability, and hybrid composites. Additionally, it addresses the modeling and simulation of composite manufacturing processes and the joining of composite laminates for product development, offering an exciting exploration for readers and learners.

Advanced Manufacturing and Joining Technologies for Composite Materials

Using Computational Thinking in Everyday Life

Problem Solving with Python

Triangulating AI Security

Autodesk Revit 2026 Architecture Basics

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