Автор: Burden Annette, Burden Richard, Faires J. Douglas Название: Numerical analysis ISBN: 1305253663 ISBN-13(EAN): 9781305253667 Издательство: Cengage Learning Рейтинг: Цена: 16957.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: 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.
Автор: Alfio Quarteroni Название: Numerical Models for Differential Problems ISBN: 3319493159 ISBN-13(EAN): 9783319493152 Издательство: Springer Рейтинг: Цена: 10976.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book introduces the basic concepts for the numerical modelling of partial differential equations. It details algorithmic and computer implementation aspects and provides a number of easy-to-use programs.
Автор: Platen Название: Numerical Solution of Stochastic Differential Equations with Jumps in Finance ISBN: 3642120571 ISBN-13(EAN): 9783642120572 Издательство: Springer Рейтинг: Цена: 11099.00 р. 15855.00-30% Наличие на складе: Есть (1 шт.) Описание: It presents many new results on higher-order methods for scenario and Monte Carlo simulation, including implicit, predictor corrector, extrapolation, Markov chain and variance reduction methods, stressing the importance of their numerical stability.
Автор: Miller Название: Numerical Analysis for Engineers and Scientists ISBN: 1107021081 ISBN-13(EAN): 9781107021082 Издательство: Cambridge Academ Рейтинг: Цена: 10613.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Striking a balance between theory and practice, this graduate-level text is perfect for students in the applied sciences. It provides full coverage of classical methods with a clear explanation of how they work, together with sample programs and many practical examples to help students get started.
Автор: Shen Wen Название: Introduction To Numerical Computation, An ISBN: 9814730068 ISBN-13(EAN): 9789814730068 Издательство: World Scientific Publishing Рейтинг: Цена: 8078.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Developed during ten years of teaching experience, this book serves as a set of lecture notes for an introductory course on numerical computation, at the senior undergraduate level.
Автор: Bates Название: Numerically Solving Polynomial Systems with Bertini ISBN: 1611972698 ISBN-13(EAN): 9781611972696 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 15107.00 р. Наличие на складе: Поставка под заказ.
Описание: This book is a guide to concepts and practice in numerical algebraic geometry - the solution of systems of polynomial equations by numerical methods. Through numerous examples, the authors show how to apply the well-received and widely used open-source Bertini software package to compute solutions, including a detailed manual on syntax and usage options. The authors also maintain a complementary web page where readers can find supplementary materials and Bertini input files.Numerically Solving Polynomial Systems with Bertini approaches numerical algebraic geometry from a user's point of view with numerous examples of how Bertini is applicable to polynomial systems. It treats the fundamental task of solving a given polynomial system and describes the latest advances in the field, including algorithms for intersecting and projecting algebraic sets, methods for treating singular sets, the nascent field of real numerical algebraic geometry, and applications to large polynomial systems arising from differential equations.Those who wish to solve polynomial systems can start gently by finding isolated solutions to small systems, advance rapidly to using algorithms for finding positive-dimensional solution sets (curves, surfaces, etc.), and learn how to use parallel computers on large problems. These techniques are of interest to engineers and scientists in fields where polynomial equations arise, including robotics, control theory, economics, physics, numerical PDEs, and computational chemistry.
Описание: Lewis Fry Richardson dreamt that scientific weather prediction would become a practical reality. This book, first published in 2006, tells the story of Richardson`s trial forecast, and the fulfilment of his dream of practical numerical weather forecasting. It will appeal to everyone in numerical weather forecasting, from researchers and graduate students to professionals.
Автор: Olafsson, Haraldur Название: Olafsson-Uncertainties in Numerical Weather Prediction ISBN: 0128154918 ISBN-13(EAN): 9780128154915 Издательство: Elsevier Science Рейтинг: Цена: 17854.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Uncertainties in Numerical Weather Prediction is a comprehensive work on the most current understandings of uncertainties and predictability in numerical simulations of the atmosphere. It provides a general knowledge of all aspects of uncertainties in the weather prediction models in a single, easy to use reference. Uncertainties in Numerical Weather Prediction illustrates the particular uncertainties in observations and data assimilation, as well as the errors associated with the numerical integration methods. Stochastic methods in parameterisation of subgrid processes are also assessed, as well as uncertainties associated with surface-atmosphere exchange, orographic flows and processes in the atmospheric boundary layer. Through a better understanding of the uncertainties to watch for, readers will be able to produce more precise and accurate forecasts.
This is an essential work for anyone wanting to improve the accuracy of weather and climate forecasting, or developing tools to enhance the quality of such forecasts.
Provides a comprehensive overview of the state of numerical weather prediction at spatial scales, from hundreds of meters, to thousands of kilometers
Focuses on short-term 1-15 day atmospheric predictions, with some coverage appropriate for longer-term forecasts
Includes references to climate prediction models to allow applications of these techniques for climate simulations
Numerical simulation is a technique of major importance in various technical and scientific fields. Whilst engineering curricula now include training courses dedicated to it, numerical simulation is still not well-known in some economic sectors, and even less so among the general public.
Simulation involves the mathematical modeling of the real world, coupled with the computing power offered by modern technology. Designed to perform virtual experiments, digital simulation can be considered as an "art of prediction".
Embellished with a rich iconography and based on the testimony of researchers and engineers, this book shines a light on this little-known art. It is the second of two volumes and gives examples of the uses of numerical simulation in various scientific and technical fields: agriculture, industry, Earth and universe sciences, meteorology and climate studies, energy, biomechanics and human and social sciences.
Описание: This is a textbook on classical polynomial and rational approximation theory for the twenty-first century. Aimed at advanced undergraduates and graduate students across all of applied mathematics, it uses MATLAB to teach the field’s most important ideas and results.
Approximation Theory and Approximation Practice, Extended Edition differs fundamentally from other works on approximation theory in a number of ways: its emphasis is on topics close to numerical algorithms; concepts are illustrated with Chebfun; and each chapter is a PUBLISHable MATLAB M-file, available online.
The book centers on theorems and methods for analytic functions, which appear so often in applications, rather than on functions at the edge of discontinuity with their seductive theoretical challenges. Original sources are cited rather than textbooks, and each item in the bibliography is accompanied by an editorial comment. In addition, each chapter has a collection of exercises, which span a wide range from mathematical theory to Chebfun-based numerical experimentation.
Описание: This is a lively, narrative history of the world`s great weather tragedies - the greatest storms in history - and the epic quest by pioneering scientists to figure out how to accurately predict the weather. It tells the story of the development of meterology from the time of Aristotle up to current-day breakthroughs in weather prediction.
Описание: Climate forecasts show the potential to improve agriculture's ability to withstand climate shocks, but it is still uncertain how farmers will use this data in crop management decisions plus whether doing so will profit them. This volume introduces the most commonly used forecasting strategies in agriculture, like probability forecasting, real-time forecasting and ultra-short distance forecasting. These determine the pattern of planting dates and crop varieties, the latter being more common where more extensive weather forecasting methods exist. Hybrid strategies usually use more input elements (such as crop varieties) to define the strategy (such as sowing period). Production estimates indicate that, in most cases, using forecasted values can increase production with relatively minimal loss.The impact depends on the nature of actual rainy season, the forecast accuracy and the kind of response. In wet years, with the consolidation of the policy and accurate forecast, the positive response will be higher. This proves that climate prediction can help farmers acclimatize to climate variability, particularly to help them take advantage of the expected favorable conditions. The realization of possible advantages is related to the context of greater variety selection and enhanced selection. Even so, modern advances in weather modeling have improved the ability to accurately forecast rainfall through dynamic forecasting and statistical techniques.
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