Products related to Computational:
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Computational Psychiatry : A Primer
Computational psychiatry applies computational modeling and theoretical approaches to psychiatric questions, focusing on building mathematical models of neural or cognitive phenomena relevant to psychiatric diseases.It is a young and rapidly growing field, drawing on concepts from psychiatry, psychology, computer science, neuroscience, electrical and chemical engineering, mathematics, and physics.This book, accessible to nonspecialists, offers the first introductory textbook in computational psychiatry.After more than 100 years of psychological theories, psychopharmacological research, and clinical experience, the challenges of understanding and treating mental illness remain.Computational psychiatry seeks to explain how psychiatric dysfunction may emerge mechanistically, and how it may be classified, predicted, and clinically addressed.It has the potential to bridge advances in neuroscience and clinical applications, connecting low-level biological features with high-level cognitive features.After a survey of computational psychiatry methods, the book covers biologically detailed models of working memory and decision making and computational models of cognitive control.It then describes the application of computational approaches to schizophrenia, depression, anxiety, addiction, and Tourette's syndrome.Finally, the book briefly discusses additional disorders and offers guidelines for future research.Chapters also offer discussions of related issues, chapter summaries, and suggestions for further study.The book can be used as a textbook by students and as a reference for scientists and clinicians interested in applying computational models to diagnosis and treatment strategies.
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Designing the Computational Image, Imagining Computational Design
During the three decades following the Second World War, and before the advent of personal computers, government investment in university research in North America and the UK funded multidisciplinary projects to investigate the use of computers for manufacturing and design.Designing the Computational Image, Imagining Computational Design explores this period of remarkable inventiveness, and traces its repercussions on architecture and other creative fields through a selection of computational designers working today.Situating contemporary expressions of design in relation to broader historical, disciplinary, and technical frames, the book showcases the confluence, during the second half of the 20th century, of publicly funded technical innovations in software, geometry, and hardware with a cultural imaginary of design endowing computer-generated images with both geometric plasticity and a new type of agency as operative design artifacts.
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Prime Numbers : A Computational Perspective
Prime numbers beckon to the beginner, the basic notion of primality being accessible to a child.Yet, some of the simplest questions about primes have stumped humankind for millennia.In this book, the authors concentrate on the computational aspects of prime numbers, such as recognizing primes and discovering the fundamental prime factors of a given number.Over 100 explicit algorithms cast in detailed pseudocode are included in the book.Applications and theoretical digressions serve to illuminate, justify, and underscore the practical power of these algorithms.The 2nd edition adds new material on primality and algorithms and updates all the numerical records, such as the largest prime, etc.It has been revised throughout. From the reviews of the first edition:…Prime Numbers is a welcome addition to the literature of number theory - comprehensive, up-to-date and written with style. American Scientist… Crandall and Pomerance have written a terrific book. Bulletin of the AMS
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Adventures Of A Computational Explorer
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What is a computational rule?
A computational rule is a set of instructions or guidelines that dictate how a computer or computational system should process or manipulate data. These rules can be in the form of algorithms, formulas, or logical operations that define the steps necessary to perform a specific task or solve a problem. Computational rules are essential for programming and designing software, as they provide the framework for how data should be input, processed, and output by a computer system.
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How can one improve computational performance?
One can improve computational performance by optimizing algorithms to reduce time complexity, utilizing parallel processing techniques to distribute workloads across multiple processors, and implementing efficient data structures to minimize memory usage. Additionally, optimizing code by reducing unnecessary computations and memory allocations can also help improve computational performance. Regularly profiling and benchmarking the code to identify bottlenecks and areas for improvement is essential in achieving optimal computational performance.
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What is an astrophysics computational problem?
An astrophysics computational problem refers to a problem in the field of astrophysics that requires the use of computational methods and techniques to analyze and solve. These problems often involve complex mathematical models, large datasets, and simulations of astronomical phenomena such as the behavior of stars, galaxies, and the evolution of the universe. Astrophysics computational problems can include tasks such as modeling the formation of galaxies, simulating the behavior of black holes, or analyzing the distribution of dark matter in the universe. These problems require the use of advanced computational tools and techniques to understand and explore the complexities of the universe.
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Which university is the best for computational linguistics?
The best university for computational linguistics can vary depending on individual preferences and goals. Some top universities known for their strong programs in computational linguistics include Stanford University, University of Edinburgh, and University of Washington. These universities have renowned faculty, cutting-edge research opportunities, and a history of producing successful graduates in the field of computational linguistics. It is important for prospective students to research each university's specific program offerings, faculty expertise, and industry connections to determine which university aligns best with their academic and career goals.
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Commercial Timing Rice Steaming Cabinet For Steamed Buns Dumplings Seafood Steamers
Commercial Timing Rice Steaming Cabinet For Steamed Buns Dumplings Seafood Steamers
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Computational Phytochemistry
Computational Phytochemistry, Second Edition, explores how recent advances in computational techniques and methods have been embraced by phytochemical researchers to enhance many of their operations, refocusing and expanding the possibilities of phytochemical studies.By applying computational aids and mathematical models to extraction, isolation, structure determination, and bioactivity testing, researchers can obtain highly detailed information about phytochemicals and optimize working approaches.This book aims to support and encourage researchers currently working with or looking to incorporate computational methods into their phytochemical work.Topics in this book include computational methods for predicting medicinal properties, optimizing extraction, isolating plant secondary metabolites, and building dereplicated phytochemical libraries.The roles of high-throughput screening, spectral data for structural prediction, plant metabolomics, and biosynthesis are all reviewed before the application of computational aids for assessing bioactivities and virtual screening is discussed.Illustrated with detailed figures and supported by practical examples, this book is an indispensable guide for all those involved with the identification, extraction, and application of active agents from natural products.This new edition captures remarkable advancements in mathematical modeling and computational methods that have been incorporated in phytochemical research, addressing, e.g., extraction, isolation, structure determination, and bioactivity testing of phytochemicals.
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Computational Imaging
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Computational Thinking
An introduction to computational thinking that traces a genealogy beginning centuries before the digital computer. A few decades into the digital era, scientists discovered that thinking in terms of computation made possible an entirely new way of organizing scientific investigation; eventually, every field had a computational branch: computational physics, computational biology, computational sociology.More recently, “computational thinking” has become part of the K–12 curriculum.But what is computational thinking? This volume in the MIT Press Essential Knowledge series offers an accessible overview, tracing a genealogy that begins centuries before digital computers and portraying computational thinking as pioneers of computing have described it.The authors explain that computational thinking (CT) is not a set of concepts for programming; it is a way of thinking that is honed through practice: the mental skills for designing computations to do jobs for us, and for explaining and interpreting the world as a complex of information processes.Mathematically trained experts (known as “computers”) who performed complex calculations as teams engaged in CT long before electronic computers.The authors identify six dimensions of today's highly developed CT—methods, machines, computing education, software engineering, computational science, and design—and cover each in a chapter.Along the way, they debunk inflated claims for CT and computation while making clear the power of CT in all its complexity and multiplicity.
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How can one earn money with computational power?
One can earn money with computational power by participating in activities such as cryptocurrency mining, cloud computing, and distributed computing. Cryptocurrency mining involves using computational power to solve complex mathematical problems and validate transactions on a blockchain network, in return for earning cryptocurrency rewards. Cloud computing allows individuals to rent out their computational power to organizations and individuals in need of computing resources, earning money in exchange for providing these services. Distributed computing involves contributing computational power to a network of computers to solve complex problems or process large amounts of data, and individuals can earn money by participating in these distributed computing projects.
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Should one study computational linguistics or rather mathematics?
The choice between studying computational linguistics or mathematics depends on individual interests and career goals. If someone is passionate about language and communication, and wants to work on developing language technologies, then computational linguistics would be a better fit. On the other hand, if someone is more interested in abstract problem-solving and theoretical concepts, then mathematics might be a better choice. Both fields offer diverse career opportunities, so it's important to consider personal interests and strengths when making this decision.
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How do you conduct a computational and formal document verification?
To conduct a computational and formal document verification, you would first need to use computational tools such as software programs or algorithms to analyze the document for any inconsistencies, errors, or anomalies. This could involve checking for formatting errors, language inconsistencies, or any signs of tampering. Additionally, you would need to use formal verification techniques to ensure that the document meets specific standards or requirements, such as legal or regulatory compliance. This may involve comparing the document against a set of predefined rules or criteria to determine its validity. Overall, the process involves using both computational and formal methods to thoroughly examine the document for accuracy and authenticity.
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Why do my steamed dumplings collapse?
Steamed dumplings may collapse due to a few reasons. One common reason is that the dough may be too thin or not properly sealed, causing the dumplings to lose their shape during the steaming process. Another reason could be that the filling is too moist, causing the dumplings to become too heavy and collapse. Additionally, overcooking the dumplings can also cause them to collapse, as the dough becomes too soft and loses its structure. It's important to ensure that the dough is properly sealed and the filling is not too moist, and to avoid overcooking the dumplings to prevent them from collapsing.
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