Products related to Numerical:
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Teaching, Tutoring and Training in the Lifelong Learning Sector
This core text provides comprehensive support for pre-service and in-service trainee teachers in the Lifelong Learning Sector covering all they need to know to achieve QTLS status. Supporting trainees through all stages of their professional development, the text takes the reader through the theoretical background underpinning teaching and learning and offers practical guidance on day-to-day challenges. This fourth edition has been fully revised and updated and includes a new chapter on teaching practice with notes on observation and lesson planning.New information on behaviour management has been added to support trainees in an aspect of teaching that many find challenging.
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Numerical Optimization
Numerical Optimization presents a comprehensive and up-to-date description of the most effective methods in continuous optimization.It responds to the growing interest in optimization in engineering, science, and business by focusing on the methods that are best suited to practical problems. For this new edition the book has been thoroughly updated throughout.There are new chapters on nonlinear interior methods and derivative-free methods for optimization, both of which are used widely in practice and the focus of much current research. Because of the emphasis on practical methods, as well as the extensive illustrations and exercises, the book is accessible to a wide audience.It can be used as a graduate text in engineering, operations research, mathematics, computer science, and business.It also serves as a handbook for researchers and practitioners in the field.The authors have strived to produce a text that is pleasant to read, informative, and rigorous - one that reveals both the beautiful nature of the discipline and its practical side. There is a selected solutions manual for instructors for the new edition.
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Numerical Analysis
Revised and updated, this second edition of Walter Gautschi's successful Numerical Analysis explores computational methods for problems arising in the areas of classical analysis, approximation theory, and ordinary differential equations, among others.Topics included in the book are presented with a view toward stressing basic principles and maintaining simplicity and teachability as far as possible, while subjects requiring a higher level of technicality are referenced in detailed bibliographic notes at the end of each chapter.Readers are thus given the guidance and opportunity to pursue advanced modern topics in more depth.Along with updated references, new biographical notes, and enhanced notational clarity, this second edition includes the expansion of an already large collection of exercises and assignments, both the kind that deal with theoretical and practical aspects of the subject and those requiring machine computation and the use of mathematical software.Perhaps most notably, the edition also comes with a complete solutions manual, carefully developed and polished by the author, which will serve as an exceptionally valuable resource for instructors.
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Numerical Analysis
This well-respected book introduces readers to the theory and application of modern numerical approximation techniques.Providing an accessible treatment that only requires a calculus prerequisite, the authors explain how, why, and when approximation techniques can be expected to work-and why, in some situations, they fail.A wealth of examples and exercises develop readers' intuition, and demonstrate the subject's practical applications to important everyday problems in math, computing, engineering, and physical science disciplines.Three decades after it was first published, Burden, Faires, and Burden's NUMERICAL ANALYSIS remains the definitive introduction to a vital and practical subject.
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Does education improve the NC (numerical grade)?
Yes, education can improve the numerical grade. By receiving a quality education, students can gain a better understanding of the material, develop critical thinking skills, and improve their study habits, all of which can lead to higher grades. Additionally, education can provide students with the necessary support and resources to excel academically, ultimately leading to an improvement in their numerical grades.
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'numerical, alphanumerical and?'
The term "alphanumerical" refers to a combination of letters and numbers. In addition to numerical and alphanumerical, there is also the category of "special characters." Special characters include symbols such as punctuation marks, currency signs, and other non-alphanumeric characters. These special characters are often used in computer programming, data entry, and other applications to provide additional functionality and flexibility in representing and processing information.
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What is the numerical aperture?
The numerical aperture (NA) is a measure of the light-gathering ability of an optical system, such as a microscope or a lens. It is defined as the sine of the half-angle of the maximum cone of light that can enter or exit the system. A higher numerical aperture indicates a greater ability to gather light and resolve fine details in the specimen being observed. The numerical aperture is an important factor in determining the resolution and quality of an optical system.
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Do numerical questions appear in the written driving school exam?
Yes, numerical questions can appear in the written driving school exam. These questions may involve speed limits, distances, or calculations related to driving rules and regulations. It's important for students to study and understand these numerical concepts in order to pass the exam and become a safe and knowledgeable driver.
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Numerical Methods
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Numerical Hamiltonian Problems
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Numerical Algorithms : Methods for Computer Vision, Machine Learning, and Graphics
Numerical Algorithms: Methods for Computer Vision, Machine Learning, and Graphics presents a new approach to numerical analysis for modern computer scientists.Using examples from a broad base of computational tasks, including data processing, computational photography, and animation, the textbook introduces numerical modeling and algorithmic design from a practical standpoint and provides insight into the theoretical tools needed to support these skills. The book covers a wide range of topics—from numerical linear algebra to optimization and differential equations—focusing on real-world motivation and unifying themes.It incorporates cases from computer science research and practice, accompanied by highlights from in-depth literature on each subtopic.Comprehensive end-of-chapter exercises encourage critical thinking and build students’ intuition while introducing extensions of the basic material. The text is designed for advanced undergraduate and beginning graduate students in computer science and related fields with experience in calculus and linear algebra.For students with a background in discrete mathematics, the book includes some reminders of relevant continuous mathematical background.
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Computer Science Education : Perspectives on Teaching and Learning in School
Drawing together the most up-to-date research from experts all across the world, the second edition of Computer Science Education offers the most up-to-date coverage available on this developing subject, ideal for building confidence of new pre-service and in-service educators teaching a new discipline.It provides an international overview of key concepts, pedagogical approaches and assessment practices. Highlights of the second edition include:- New sections on machine learning and data-driven (epistemic) programming- A new focus on equity and inclusion in computer science education- Chapters updated throughout, including a revised chapter on relating ethical and societal aspects to knowledge-rich aspects of computer science education- A new set of chapters on the learning of programming, including design, pedagogy and misconceptions- A chapter on the way we use language in the computer science classroom. The book is structured to support the reader with chapter outlines, synopses and key points.Explanations of key concepts, real-life examples and reflective points keep the theory grounded in classroom practice. The book is accompanied by a companion website, including online summaries for each chapter, 3-minute video summaries by each author and an archived chapter on taxonomies and competencies from the first edition.
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What does this numerical code mean?
The numerical code provided is a unique identifier that represents a specific piece of information or data. It is used to categorize, organize, and reference the information within a system. The code helps to quickly locate and retrieve the corresponding information when needed. It serves as a way to efficiently manage and track data in various contexts such as inventory management, product identification, or record-keeping.
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Why are homosexuals a numerical minority?
Homosexuals are a numerical minority because sexual orientation is a natural variation in human sexuality, and not everyone is exclusively attracted to the opposite gender. This variation in sexual orientation has always existed in human populations, but due to societal stigma and discrimination, many individuals may not openly identify as homosexual. Additionally, the prevalence of homosexuality may also be influenced by genetic, hormonal, and environmental factors. Overall, the numerical minority status of homosexuals is a result of the diverse and complex nature of human sexuality.
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How do I crack a numerical code?
Cracking a numerical code involves trying different combinations of numbers until you find the correct sequence. One common method is to use a brute force approach, where you systematically try all possible combinations until you find the right one. Another approach is to look for patterns or clues within the code that may help you narrow down the possibilities. It may also be helpful to use tools or software designed for cracking codes, depending on the complexity of the numerical code.
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What is meant by simple numerical relationships?
Simple numerical relationships refer to basic mathematical connections between numbers, such as addition, subtraction, multiplication, and division. These relationships are straightforward and easy to understand, often involving only one or two operations. They are fundamental to arithmetic and are used in everyday calculations and problem-solving.
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