Innovative Computing Methods and Their Applications to Engineering Problems

Photoelectrochemical Engineering for Solar Harvesting provides an up-to-date appraisal of the photon engineering of innovative catalysts for solar energy harvesting. Sunlight-driven fuel synthesis is the most sustainable and potentially economical option for producing energy vectors through water splitting. Thus this book focuses on the design of photocatalysts and water oxidation catalysts, as artificial photosynthesis and hydrogen fuel production via water oxidation (in place of fossil fuels) are two promising approaches towards renewable energy. The book critically analyzes the overall progress, potential challenges, and the possibility of industrialization of new catalysts in the near future. The primary emphasis of the discussion is on experimental approaches from materials synthesis to device applications, however, there will also be some introduction to relevant photochemistry concepts. Photoelectrochemical Engineering for Solar Harvesting is suitable for materials scientists an

The first book in a new puzzle adventure series takes readers on a thrilling adventure in the company of Knutz, a STEAM whizz-kid, and canine super-inventor Boltz. Knutz and Boltz are waiting for a live stream of their favourite vlogger, the Sorcerer of Science, who performs experiments for her legions of fans. But today a strange figure has taken over her feed.He introduces himself as Dr Chaos, and says he’s taken the Sorcerer prisoner ... Knutz and Boltz will have to use all their STEAM-skills to tackle the fiendish challenges in the Mansion of Mayhem in order to save the Sorcerer and defeat Dr Chaos!Featuring an innovative mix of graphic-novel pages, zany prose and integrated puzzles, this fast-paced adventure is guaranteed to engage kids aged 9+ in STEAM subjects. Across six chapters, readers will develop key science, technology, engineering, art and maths skills as they help Knutz and Boltz work their way through the challenges.

Professionals are challenged each day by a changing landscape of technology and terminology. In recent history, especially the last 25 years there has been an explosion of terms and methods born that automate and improve decision-making and operations. One term called Analytics is an overarching description of a compilation of methodologies. But, AI (Artificial Intelligence), statistics, decision science, optimization which have been around for decades has resurged. Also, things like business intelligence, On-line Analytical Processing (OLAP) and many, many more have been born or reborn. How is someone to make sense of all this methodology, terminology? Extending on the foundations introduced in the first book this book illustrates how professionals in healthcare, business and government are applying these disciplines, methods and technologies. The goal of this book is to get leaders and practitioners to start thinking about how they may deploy techniques outside their function or ind

Two feathered friends are Frog and Toad for the emoji generation in this delightful graphic novel for emerging readers.A Theodor Seuss Geisel Honor Book!Owl likes peace and quiet.Penguin likes to SING OUT LOUD.But best friends don’t need to be the same. Sometimes it’s good to disagree! Owl and Penguin celebrate their differences and solve their problems with creative play. From ice cream mishaps to rainy day chills, there’s nothing these pals can’t get through together.In three nearly wordless stories, expressive art takes charge of the storytelling, supplemented by simple text captions and emoticon-style images in speech bubbles. This innovative format supports visual literacy and sight word recognition for the earliest independent readers. With warm humor and a joyful palette, it’s perfect for kids to giggle over on their own.I Like to Read® Comics are perfect for kids who are challenged by or unengaged in reading, kids who love art, and the growing number of young comics fans. Fille

Techniques for applying mathematical concepts in the real world: six rarely taught but crucial tools for analysis, research, and problem-solving.Many young graduates leave school with a solid knowledge of mathematical concepts but struggle to apply these concepts in practice. Real scientific and engineering problems are different from those found in textbooks: they are messier, take longer to solve, and standard solution recipes might not apply. This book fills the gap between what is taught in the typical college curriculum and what a practicing engineer or scientist needs to know. It presents six powerful tools for analysis, research, and problem-solving in the real world: dimensional analysis, limiting cases, symmetry, scaling, making order of magnitude estimates, and the method of successive approximations. The book does not focus on formulaic manipulations of equations, but emphasizes analysis and explores connections between the equations and the application. Each chapter introdu

Connecting theory with practice, this systematic and rigorous introduction covers the fundamental principles, algorithms and applications of key mathematical models for high-dimensional data analysis. Comprehensive in its approach, it provides unified coverage of many different low-dimensional models and analytical techniques, including sparse and low-rank models, and both convex and non-convex formulations. Readers will learn how to develop efficient and scalable algorithms for solving real-world problems, supported by numerous examples and exercises throughout, and how to use the computational tools learnt in several application contexts. Applications presented include scientific imaging, communication, face recognition, 3D vision, and deep networks for classification. With code available online, this is an ideal textbook for senior and graduate students in computer science, data science, and electrical engineering, as well as for those taking courses on sparsity, low-dimensional str

A comprehensive introduction to the most commonly used statistical methods relevant in atmospheric, oceanic and climate sciences. Each method is described step-by-step using plain language, and illustrated with concrete examples, with relevant statistical and scientific concepts explained as needed. Particular attention is paid to nuances and pitfalls, with sufficient detail to enable the reader to write relevant code. Topics covered include hypothesis testing, time series analysis, linear regression, data assimilation, extreme value analysis, Principal Component Analysis, Canonical Correlation Analysis, Predictable Component Analysis, and Covariance Discriminant Analysis. The specific statistical challenges that arise in climate applications are also discussed, including model selection problems associated with Canonical Correlation Analysis, Predictable Component Analysis, and Covariance Discriminant Analysis. Requiring no previous background in statistics, this is a highly accessibl

Discover a comprehensive set of tools and techniques for analyzing the impact of uncertainty on large-scale engineered systems. Providing accessible yet rigorous coverage, it showcases the theory through detailed case studies drawn from electric power application problems, including the impact of integration of renewable-based power generation in bulk power systems, the impact of corrupted measurement and communication devices in microgrid closed-loop controls, and the impact of components failures on the reliability of power supply systems. The case studies also serve as a guide on how to tackle similar problems that appear in other engineering application domains, including automotive and aerospace engineering. This is essential reading for academic researchers and graduate students in power systems engineering, and dynamic systems and control engineering.

Statistical Methods for Reliability Data, Second Edition (SMRD2) is an essential guide to the most widely used and recently developed statistical methods for reliability data analysis and reliability test planning. Written by three experts in the area, SMRD2 updates and extends the long- established statistical techniques and shows how to apply powerful graphical, numerical, and simulation-based methods to a range of applications in reliability. SMRD2 is a comprehensive resource that describes maximum likelihood and Bayesian methods for solving practical problems that arise in product reliability and similar areas of application. SMRD2 illustrates methods with numerous applications and all the data sets are available on the book’s website. Also, SMRD2 contains an extensive collection of exercises that will enhance its use as a course textbook.The SMRD2's website contains valuable resources, including R packages, Stan model codes, presentation slides, technical notes, information about

This collection of problems in Quantum Field Theory, accompanied by their complete solutions, aims to bridge the gap between learning the foundational principles and applying them practically. The carefully chosen problems cover a wide range of topics, starting from the foundations of Quantum Field Theory and the traditional methods in perturbation theory, such as LSZ reduction formulas, Feynman diagrams and renormalization. Separate chapters are devoted to functional methods (bosonic and fermionic path integrals; worldline formalism), to non-Abelian gauge theories (Yang-Mills theory, Quantum Chromodynamics), to the novel techniques for calculating scattering amplitudes and to quantum field theory at finite temperature (including its formulation on the lattice, and extensions to systems out of equilibrium). The problems range from those dealing with QFT formalism itself to problems addressing specific questions of phenomenological relevance, and they span a broad range in difficulty, f

This collection of problems in Quantum Field Theory, accompanied by their complete solutions, aims to bridge the gap between learning the foundational principles and applying them practically. The carefully chosen problems cover a wide range of topics, starting from the foundations of Quantum Field Theory and the traditional methods in perturbation theory, such as LSZ reduction formulas, Feynman diagrams and renormalization. Separate chapters are devoted to functional methods (bosonic and fermionic path integrals; worldline formalism), to non-Abelian gauge theories (Yang-Mills theory, Quantum Chromodynamics), to the novel techniques for calculating scattering amplitudes and to quantum field theory at finite temperature (including its formulation on the lattice, and extensions to systems out of equilibrium). The problems range from those dealing with QFT formalism itself to problems addressing specific questions of phenomenological relevance, and they span a broad range in difficulty, f

Named with a simple word meaning ‘cloth’, NUNO is one of Japan’s most important textile-design companies. Founded in 1984 by the legendary Junichi Arai and the company’s current director, Reiko Sudo, it is recognized as one of the world’s most innovative textile producers. Known for weaving together tradition and cutting-edge technology, NUNO designers are inspired by the past, present and future, integrating unexpected elements, such as paper or feathers or aluminium, with industrial methods, such as spatter-plating and chemical etching.All NUNO textiles – more than 2,500 have been created – are produced in Japan and are usually the handiwork of an individual craftsperson. Each bolt of cloth has a story to tell. Though their textiles appear regularly in books, textile exhibitions and museum collections, a comprehensive NUNO monograph has not existed - until now.Featuring the most outstanding, influential or experimental fabrics, the book is organized into seven chapters, each based on

The theory of invariance of modules under automorphisms of their envelopes and covers has opened up a whole new direction in the study of module theory. It offers a new perspective on generalizations of injective, pure-injective and flat-cotorsion modules beyond relaxing conditions on liftings of homomorphisms. This has set off a flurry of work in the area, with hundreds of papers using the theory appearing in the last decade. This book gives the first unified treatment of the topic. The authors are real experts in the area, having played a major part in the breakthrough of this new theory and its subsequent applications. The first chapter introduces the basics of ring and module theory needed for the following sections, making it self-contained and suitable for graduate students. The authors go on to develop and explain their tools, enabling researchers to employ them, extend and simplify known results in the literature and to solve longstanding problems in module theory, many of whic

Based on the author's forty years of teaching experience, this unique textbook covers both basic and advanced concepts of optimization theory and methods for process systems engineers. Topics covered include continuous, discrete and logic optimization (linear, nonlinear, mixed-integer and generalized disjunctive programming), optimization under uncertainty (stochastic programming and flexibility analysis), and decomposition techniques (Lagrangean and Benders decomposition). Assuming only a basic background in calculus and linear algebra, it enables easy understanding of mathematical reasoning, and numerous examples throughout illustrate key concepts and algorithms. End-of-chapter exercises involving theoretical derivations and small numerical problems, as well as in modeling systems like GAMS, enhance understanding and help put knowledge into practice. Accompanied by two appendices containing web links to modeling systems and models related to applications in PSE, this is an essential

Biological systems are extremely complex and have emergent properties that cannot be explained or even predicted by studying their individual parts in isolation. The reductionist approach, although successful in the early days of molecular biology, underestimates this complexity. As the amount of available data grows, so it will become increasingly important to be able to analyse and integrate these large data sets. This book introduces novel approaches and solutions to the Big Data problem in biomedicine, and presents new techniques in the field of graph theory for handling and processing multi-type large data sets. By discussing cutting-edge problems and techniques, researchers from a wide range of fields will be able to gain insights for exploiting big heterogonous data in the life sciences through the concept of 'network of networks'.

*Extensive applications of linear algebra concepts to a variety of real-world situations are provided. Students learn how theories and concepts of linear algebra can help solve modern-day problems.*Abundant computer exercises—more extensive than any other linear algebra book available—help students visualize and discover linear algebra, and allow them to explore more realistic applications that are too computationally intensive to work out by hand. These exercises also give students experience in performing matrix computations.*Worked-out examples illustrate new concepts, making the material less abstract and helping students quickly build their understanding.*Two chapter tests for every chapter help students study for exams and get the practice they need to master the material.*A comprehensive MATLAB® appendix gives users all the information they need to use the latest version of MATLAB.

Applications of Big Data in Healthcare: Theory and Practice begins with the basics of Big Data analysis and introduces the tools, processes and procedures associated with Big Data analytics. The book unites healthcare with Big Data analysis and uses the advantages of the latter to solve the problems faced by the former. The authors present the challenges faced by the healthcare industry, including capturing, storing, searching, sharing and analyzing data.This book illustrates the challenges in the applications of Big Data and suggests ways to overcome them, with a primary emphasis on data repositories, challenges, and concepts for data scientists, engineers and clinicians. The applications of Big Data have grown tremendously within the past few years and its growth can not only be attributed to its competence to handle large data streams but also to its abilities to find insights from complex, noisy, heterogeneous, longitudinal and voluminous data. The main objectives of Big Data in th

Origami, the art of paper folding, has a rich mathematical theory. Early investigations go back to at least the 1930s, but the twenty-first century has seen a remarkable blossoming of the mathematics of folding. Besides its use in describing origami and designing new models, it is also finding real-world applications from building nano-scale robots to deploying large solar arrays in space. Written by a world expert on the subject, Origametry is the first complete reference on the mathematics of origami. It brings together historical results, modern developments, and future directions into a cohesive whole. Over 180 figures illustrate the constructions described while numerous 'diversions' provide jumping-off points for readers to deepen their understanding. This book is an essential reference for researchers of origami mathematics and its applications in physics, engineering, and design. Educators, students, and enthusiasts will also find much to enjoy in this fascinating account of th

Origami, the art of paper folding, has a rich mathematical theory. Early investigations go back to at least the 1930s, but the twenty-first century has seen a remarkable blossoming of the mathematics of folding. Besides its use in describing origami and designing new models, it is also finding real-world applications from building nano-scale robots to deploying large solar arrays in space. Written by a world expert on the subject, Origametry is the first complete reference on the mathematics of origami. It brings together historical results, modern developments, and future directions into a cohesive whole. Over 180 figures illustrate the constructions described while numerous 'diversions' provide jumping-off points for readers to deepen their understanding. This book is an essential reference for researchers of origami mathematics and its applications in physics, engineering, and design. Educators, students, and enthusiasts will also find much to enjoy in this fascinating account of th

Bringing together idiomatic Python programming, foundational numerical methods, and physics applications, this is an ideal standalone textbook for courses on computational physics. All the frequently used numerical methods in physics are explained, including foundational techniques and hidden gems on topics such as linear algebra, differential equations, root-finding, interpolation, and integration. Accompanying the mathematical derivations are full implementations of dozens of numerical methods in Python, as well as more than 250 end-of-chapter problems. Numerical methods and physics examples are clearly separated, allowing this introductory book to be later used as a reference; the penultimate section in each chapter is an in depth project, tackling physics problems which cannot be solved without the use of a computer. Written primarily for students studying computational physics, this textbook brings the non-specialist quickly up to speed with Python before looking in detail at the

Bringing together idiomatic Python programming, foundational numerical methods, and physics applications, this is an ideal standalone textbook for courses on computational physics. All the frequently used numerical methods in physics are explained, including foundational techniques and hidden gems on topics such as linear algebra, differential equations, root-finding, interpolation, and integration. Accompanying the mathematical derivations are full implementations of dozens of numerical methods in Python, as well as more than 250 end-of-chapter problems. Numerical methods and physics examples are clearly separated, allowing this introductory book to be later used as a reference; the penultimate section in each chapter is an in depth project, tackling physics problems which cannot be solved without the use of a computer. Written primarily for students studying computational physics, this textbook brings the non-specialist quickly up to speed with Python before looking in detail at the

Shigley's Mechanical Engineering Design isintended for students beginning the study of mechanical engineering design.Students will find that the text inherently directs them into familiarity withboth the basics of design decisions and the standards of industrial components.It combines the straightforward focus on fundamentals that instructors havecome to expect with a modern emphasis on design and new applications. Thisedition maintains the well-designed approach that has made this book thestandard in machine design for nearly 50 years. McGraw Hill Education's Connectis also available as an optional add on item.Connect is the only integratedlearning system that empowers students by continuously adapting to deliverprecisely what they need when they need it how they need it so that class timeis more effective. Connect allows the professor to assign homework quizzes andtests easily and automatically grades and records the scores of the student'swork. Problems are randomized to prevent sha

The finite element method (FEM) is indispensable in modeling and simulation in various engineering and physical systems, including structural analysis, stress, strain, fluid mechanics, heat transfer, dynamics, eigenproblems, design optimization, sound propagation, electromagnetics, and coupled field problems. This textbook integrates basic theory with real-life, design-oriented problems using ANSYS, the most commonly used computational software in the field. For students as well as practicing engineers and designers, each chapter is highly illustrated and presented in a step-by-step manner. Fundamental concepts are presented in detail with reference to easy to understand worked examples that clearly introduce the method before progressing to more advanced content. Included are step-by-step solutions for project type problems using modelling software, special chapters for modelling and the use of ANSYS and Workbench programs, and extensive sets of problems and projects round out each ch

This book provides a unique, focused introduction to the analytical skills, methods and techniques in the assessment of credit risk that are necessary to tackle and analyze complex credit problems. It

Crosbie Smith explores the trials and tribulations of first-generation Victorian mail steamship lines, their passengers, proprietors and the public. Eyewitness accounts show in rich detail how these enterprises engineered their ships, constructed empire-wide systems of steam navigation and won or lost public confidence in the process. Controlling recalcitrant elements within and around steamship systems, however, presented constant challenges to company managers as they attempted to build trust and confidence. Managers thus wrestled to control shipbuilding and marine engine-making, coal consumption, quality and supply, shipboard discipline, religious readings, relations with the Admiralty and government, anxious proprietors, and the media - especially following a disaster or accident. Emphasizing interconnections between maritime history, the history of engineering and Victorian culture, Smith's innovative history of early ocean steamships reveals the fraught uncertainties of Victorian

The series is devoted to the publication of monographs and high-level textbooks in mathematics, mathematical methods and their applications. Apart from covering important areas of current interest, a

This book is an introduction to techniques and applications of optical methods for materials Characterization in civil and environmental engineering. Emphasizing chemical sensing and diagnostics, it i

This book offers engineering students an introduction to the theory of partial differential equations and then guiding them through the modern problems in this subject. Divided into two parts, in the

Actuaries have access to a wealth of individual data in pension and insurance portfolios, but rarely use its full potential. This book will pave the way, from methods using aggregate counts to modern developments in survival analysis. Based on the fundamental concept of the hazard rate, Part I shows how and why to build statistical models, based on data at the level of the individual persons in a pension scheme or life insurance portfolio. Extensive use is made of the R statistics package. Smooth models, including regression and spline models in one and two dimensions, are covered in depth in Part II. Finally, Part III uses multiple-state models to extend survival models beyond the simple life/death setting, and includes a brief introduction to the modern counting process approach. Practising actuaries will find this book indispensable, and students will find it helpful when preparing for their professional examinations.

Millions of children, adolescents, and adults worldwide experience significant mental health problems, for which they receive no treatment whatsoever. Despite decades of world-class, innovative treatm

Providing an up-to-date overview of the most popular global optimization methods used in interpreting geophysical observations, this new edition includes a detailed description of the theoretical development underlying each method and a thorough explanation of the design, implementation and limitations of algorithms. New and expanded chapters provide details of recently developed methods, such as the neighborhood algorithm, particle swarm optimization, hybrid Monte Carlo and multi-chain MCMC methods. Other chapters include new examples of applications, from uncertainty in climate modeling to whole Earth studies. Several different examples of geophysical inversion, including joint inversion of disparate geophysical datasets, are provided to help readers design algorithms for their own applications. This is an authoritative and valuable text for researchers and graduate students in geophysics, inverse theory and exploration geoscience, and an important resource for professionals working

The value of analytical solutions relies on the rigorous formulation, and a strong mathematical background. This comprehensive volume unifies the most important geometries, which allow for the development of analytical solutions for hydrodynamic boundary value problems. It offers detailed explanations of the Laplance domain and numerical results associated with such problems, providing deep insight into the theory of hydrodynamics. Extended numerical calculations are provided and discussed, allowing the reader to use them as benchmarks for their own computations and making this an invaluable resource for specialists in in various disciplines, including hydrodynamics, acoustics, optics, electrostatics, and brain imaging.

Applied Numerical Methods with MATLAB is written for students who want to learn and apply numerical methods in order to solve problems in engineering and science. As such, the methods are motivated by

A combined reference book and workbook covering over 3,000 entries of essential words and phrases to expand your English vocabulary.Designed around the most up-to-date theories of language acquisition, English for Everyone: English Vocabulary Builder includes all the words and phrases English learners need to know. Question words, feelings, hairstyles, technology, seasons, entertainment, sports, and more are covered and illustrated, plus paired with audio in the accompanying app available for download. Readers can write their own translations and work through practice exercises to improve their English language skills. Ideal for ESL learners at all stages, from beginner to advanced.Series Overview: English for Everyone series teaches all levels of English, from beginner to advanced, to speakers of English as a second language. Innovative visual learning methods introduce key language skills, grammar, and vocabulary, which are reinforced with a variety of speaking, reading, and writing

The discovery of a duality between Anti-de Sitter spaces (AdS) and Conformal Field Theories (CFT) has led to major advances in our understanding of quantum field theory and quantum gravity. String theory methods and AdS/CFT correspondence maps provide new ways to think about difficult condensed matter problems. String theory methods based on the AdS/CFT correspondence allow us to transform problems so they have weak interactions and can be solved more easily. They can also help map problems to different descriptions, for instance mapping the description of a fluid using the Navier–Stokes equations to the description of an event horizon of a black hole using Einstein's equations. This textbook covers the applications of string theory methods and the mathematics of AdS/CFT to areas of condensed matter physics. Bridging the gap between string theory and condensed matter, this is a valuable textbook for students and researchers in both fields.

Nanogel-based systems have gained tremendous attention due to their diverse range of applications in tissue engineering, regenerative medicine, biosensors, orthopaedics, wound healing and drug deliver

A guide to the use of essential oils in food, including information on their composition, extraction methods, and their antioxidant and antimicrobial applications Consumers’ food preferences are

Gain a solid understanding of Light-Emitting Diode (LED) Systems Theory with this unique book. Written by a leading expert in LED lighting, it links together the photometric, electrical, thermal and chromatic elements of LED systems into a single, unified framework, and explores their complex interactions with one another. • Get to grips with chromatic, photometric and thermal modelling of LED systems • Discover new techniques for precise dimming and colour control • Learn methods for determining system parameters and internal variables • Gain insight into advanced applications for LED system design and optimization Providing straightforward and intuitive explanations, this is an ideal guide for professional engineers, graduate students and researchers working on solid-state lighting systems and smart lighting, and those taking advanced courses on LED devices and systems.

Due to the complexity of operational forestry problems, computing applications are becoming pervasive in all aspects of forest and natural resource management. This book provides a comprehensive intro

Current techniques for studying biological macromolecules and their interactions are based on the application of physical methods, ranging from classical thermodynamics to more recently developed techniques for the detection and manipulation of single molecules. Reflecting the advances made in biophysics research over the past decade, and now including a new section on medical imaging, this new edition describes the physical methods used in modern biology. All key techniques are covered, including mass spectrometry, hydrodynamics, microscopy and imaging, diffraction and spectroscopy, electron microscopy, molecular dynamics simulations and nuclear magnetic resonance. Each method is explained in detail using examples of real-world applications. Short asides are provided throughout to ensure that explanations are accessible to life scientists, physicists and those with medical backgrounds. The book remains an unparalleled and comprehensive resource for graduate students of biophysics and