Search results for ""author a. k.""

Pathways to Modern Physical Chemistry: An Engineering Approach with Multidisciplinary Applications focuses on recent trends and takes a systematic and practical look at theoretical aspects of materials chemistry. The book describes the characterization and analysis methods for materials and explains physical transport mechanisms in various materials. Not only does this book summarize the classical theories of materials chemistry, but it also exhibits their engineering applications in response to the current key issues. Recent trends in several areas are explored, including polymer science, textile engineering, and chemical engineering science, which have important application to practice.

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The major goals of quantum chemistry include increasing the accuracy of the results for small molecular systems and increasing the size of large molecules that can be processed, which is limited by scaling considerations—the computation time increases as a power of the number of atoms. This book offers scope for academics, researchers, and engineering professionals to present their research and development works that have potential for applications in several disciplines of computational chemistry. Contributions range from new methods to novel applications of existing methods to gain an understanding of the concepts.

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This edited book presents recent developments and state-of-the-art review in various areas of mathematical programming and game theory. It is a peer-reviewed research monograph under the ISI Platinum Jubilee Series on Statistical Science and Interdisciplinary Research. This volume provides a panoramic view of theory and the applications of the methods of mathematical programming to problems in statistics, finance, games and electrical networks. It also provides an important as well as timely overview of research trends and focuses on the exciting areas like support vector machines, bilevel programming, interior point method for convex quadratic programming, cooperative games, non-cooperative games and stochastic games. Researchers, professionals and advanced graduates will find the book an essential resource for current work in mathematical programming, game theory and their applications.

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The high temperature solid oxide fuel cell (SOFC) is identified as one of the leading fuel cell technology contenders to capture the energy market in years to come. However, in order to operate as an efficient energy generating system, the SOFC requires an appropriate control system which in turn requires a detailed modelling of process dynamics. Introducting state-of-the-art dynamic modelling, estimation, and control of SOFC systems, this book presents original modelling methods and brand new results as developed by the authors. With comprehensive coverage and bringing together many aspects of SOFC technology, it considers dynamic modelling through first-principles and data-based approaches, and considers all aspects of control, including modelling, system identification, state estimation, conventional and advanced control. Key features: Discusses both planar and tubular SOFC, and detailed and simplified dynamic modelling for SOFC Systematically describes single model and distributed models from cell level to system level Provides parameters for all models developed for easy reference and reproducing of the results All theories are illustrated through vivid fuel cell application examples, such as state-of-the-art unscented Kalman filter, model predictive control, and system identification techniques to SOFC systems The tutorial approach makes it perfect for learning the fundamentals of chemical engineering, system identification, state estimation and process control. It is suitable for graduate students in chemical, mechanical, power, and electrical engineering, especially those in process control, process systems engineering, control systems, or fuel cells. It will also aid researchers who need a reminder of the basics as well as an overview of current techniques in the dynamic modelling and control of SOFC.

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This new volume, Physical Chemistry for Engineering and Applied Sciences: Theoretical and Methodological Implications, introduces readers to some of the latest research applications of physical chemistry. The compilation of this volume was motived by the tremendous increase of useful research work in the field of physical chemistry and related subjects in recent years, and the need for communication between physical chemists, physicists, and biophysicists. This volume reflects the huge breadth and diversity in research and the applications in physical chemistry and physical chemistry techniques, providing case studies that are tailored to particular research interests. It examines the industrial processes for emerging materials, determines practical use under a wide range of conditions, and establishes what is needed to produce a new generation of materials.The chapter authors, affiliated with prestigious scientific institutions from around the world, share their research on new and innovative applications in physical chemistry. The chapters in the volume are divided into several areas, covering developments in physical chemistry of modern materials polymer science and engineering nanoscience and nanotechnology

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This volume, Applied Chemistry and Chemical Engineering, Volume 5: Research Methodologies in Modern Chemistry and Applied Science, is designed to fulfill the requirements of scientists and engineers who wish to be able to carry out experimental research in chemistry and applied science using modern methods. Each chapter describes the principle of the respective method, as well as the detailed procedures of experiments with examples of actual applications. Thus, readers will be able to apply the concepts as described in the book to their own experiments. This book traces the progress made in this field and its sub-fields and also highlight some of the key theories and their applications and will be a valuable resource for chemical engineers in Materials Science and others.

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Green Chemistry and Biodiversity: Principles, Techniques, and Correlations reports on new approaches to designing chemicals and chemical transformations that are beneficial for human health and the environment, a continuing emerging important field of study. This volume provides a collection of innovative research on the development of alternative sustainable technologies, taking a broad view of the subject and integrating a wide variety of approaches. With a focus on the interdisciplinary applications of green chemistry and biodiversity, this volume will be a rich resource for scientists and researchers in many subfields of chemistry and chemical engineering.

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This important book presents a collection of scientific papers on recent theoretical and practical advances in nanostructures, nanomaterials, and nanotechnologies. Highlighting some of the latest developments and trends in the field, the volume presents the developments of advanced nanostructured materials and the respective tools to characterize and predict their properties and behavior.

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This new volume looks at significant new research, methodologies, and applications in the fields of carbon nanotubes and nanoparticles. It explores a variety of new developments in advanced carbon nanotubes and nanoparticles along with the tools to characterize and predict their properties and behavior. It introduces and reviews methods that are most frequently encountered in sophisticated nano-scaled materials domains, and helps to bridge the gap between classical analysis and modern real-life applications. A diverse array of topics in the field is addressed that provides many practical insights into nanocomposites and nanomaterials sciences.

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Rank-Based Methods for Shrinkage and Selection A practical and hands-on guide to the theory and methodology of statistical estimation based on rank Robust statistics is an important field in contemporary mathematics and applied statistical methods. Rank-Based Methods for Shrinkage and Selection: With Application to Machine Learning describes techniques to produce higher quality data analysis in shrinkage and subset selection to obtain parsimonious models with outlier-free prediction. This book is intended for statisticians, economists, biostatisticians, data scientists and graduate students. Rank-Based Methods for Shrinkage and Selection elaborates on rank-based theory and application in machine learning to robustify the least squares methodology. It also includes: Development of rank theory and application of shrinkage and selection Methodology for robust data science using penalized rank estimators Theory and methods of penalized rank dispersion for ridge, LASSO and Enet Topics include Liu regression, high-dimension, and AR(p) Novel rank-based logistic regression and neural networks Problem sets include R code to demonstrate its use in machine learning

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In recent decades, hundreds of millions of people across the world have moved from rural areas to metropolitan regions, some of them crossing national borders on the way. While urbanization and globalization are proceeding with an intensity that seems unprecedented, these are only the most recent iterations of long-term transformations—cities have for centuries served as vital points of contact between different peoples, economies, and cultures. Making Cities Global explores the intertwined development of urbanization and globalization using a historical approach that demonstrates the many forms transnationalism has taken, each shaped by the circumstances of a particular time and place. It also emphasizes that globalization has not been persistent or automatic—many people have been as likely to resist or reject outside connections as to establish or embrace them. The essays in the collection revolve around three foundational themes. The first is an emphasis on connections among the United States, East and Southeast Asia, Latin America, and South Asia. Second, contributors ground their studies of globalization in the built environments and everyday interactions of the city, because even world-spanning practices must be understood as people experience them in their neighborhoods, workplaces, stores, and streets. Last is a fundamental concern with the role powerful empires and nation-states play in the emergence of globalizing and urbanizing processes. Making Cities Global argues that combining urban history with a transnational approach leads to a richer understanding of our increasingly interconnected world. In order to achieve prosperity, peace, and sustainability in metropolitan areas in the present and into the future, we must understand their historical origins and development. Contributors: Erica Allen-Kim, Leandro Benmergui, Matt Garcia, Richard Harris, Carola Hein, Nancy Kwak, Carl Nightingale, Amy C. Offner, Margaret O'Mara, Nikhil Rao, A. K. Sandoval-Strausz, Arijit Sen, Thomas J. Sugrue.

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This book summarizes the results of various models under normal theory with a brief review of the literature. Statistical Inference for Models with Multivariate t-Distributed Errors: Includes a wide array of applications for the analysis of multivariate observations Emphasizes the development of linear statistical models with applications to engineering, the physical sciences, and mathematics Contains an up-to-date bibliography featuring the latest trends and advances in the field to provide a collective source for research on the topic Addresses linear regression models with non-normal errors with practical real-world examples Uniquely addresses regression models in Student's t-distributed errors and t-models Supplemented with an Instructor's Solutions Manual, which is available via written request by the Publisher

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Theological interpretation of the Bible is key to the health and vitality as well as the belief and practice of the church. Just how it is done has been the subject of much discussion and debate over the centuries. In Reading Scripture with the Church, four leading biblical scholars make the case for theological interpretation. Each author is given the opportunity to interact with the other three, and all four interact with premodern, modern, and postmodern approaches to biblical interpretation. This is an important book for pastors, teachers, and other serious students of the Bible who will be motivated to embrace the task of interpreting the Bible with greater energy, caution, and precision.

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A guide to the systematic analytical results for ridge, LASSO, preliminary test, and Stein-type estimators with applications Theory of Ridge Regression Estimation with Applications offers a comprehensive guide to the theory and methods of estimation. Ridge regression and LASSO are at the center of all penalty estimators in a range of standard models that are used in many applied statistical analyses. Written by noted experts in the field, the book contains a thorough introduction to penalty and shrinkage estimation and explores the role that ridge, LASSO, and logistic regression play in the computer intensive area of neural network and big data analysis. Designed to be accessible, the book presents detailed coverage of the basic terminology related to various models such as the location and simple linear models, normal and rank theory-based ridge, LASSO, preliminary test and Stein-type estimators.
The authors also include problem sets to enhance learning. This book is a volume in the Wiley Series in Probability and Statistics series that provides essential and invaluable reading for all statisticians. This important resource: Offers theoretical coverage and computer-intensive applications of the procedures presented Contains solutions and alternate methods for prediction accuracy and selecting model procedures Presents the first book to focus on ridge regression and unifies past research with current methodology Uses R throughout the text and includes a companion website containing convenient data sets Written for graduate students, practitioners, and researchers in various fields of science, Theory of Ridge Regression Estimation with Applications is an authoritative guide to the theory and methodology of statistical estimation.

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