Matematisk modellering

'There is no author whose books I look forward to more' Bill Gates The New York Times bestselling author returns with a mind-opening exploration of how size defines life on Earth. Explaining the key processes shaping size in nature, soci...

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A concise, accessible introduction to the principal ideas, methods, and underlying statistical concepts for understanding and applying evolutionary quantitative genetics. It includes a broad taxonomic range of examples - human, animal, and plant; ...

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'A brilliant account of how models are so often abused and of how they should be used' John Kay How do mathematical models shape our world - and how can we harness their power for good? Models are at the centre of everything we do. Wheth...

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Learn to master basic programming tasks from scratch with real-life, scientifically relevant examples and solutions drawn from both science and engineering. Students and researchers at all levels are increasingly turning to the powerful Python pro...

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Computational methods are an integral part of most scientific disciplines, and a rudimentary understanding of their potential and limitations is essential for any scientist or engineer. This textbook introduces computational science through a set ...

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The book explains the fundamental ideas of density functional theory, and how this theory can be used as a powerful method for explaining and even predicting the properties of materials with stunning accuracy.

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Among the many branches of applied mathematics, options pricing theory occupies a unique position: it utilizes a wide range of advanced mathematical concepts, making it appealing to mathematicians, and it is regularly applied at financial institut...

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How is it possible to allow multiple data owners to collaboratively train and use a shared prediction model while keeping all the local training data private? Traditional machine learning approaches need to combine all data at one location, typica...

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Master the art of mathematical modeling through practical examples, use cases, and machine learning techniques Key Features Gain a profound understanding of various mathematical models that can be integrated with machine learning Learn how to impl...

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An accessible textbook that explains, discusses, and applies both the frequentist and Bayesian theoretical frameworks to fit the different types of statistical models that allow an analysis of the types of data most commonly gathered by life scien...

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Temam and Miranville present core topics within the general themes of fluid and solid mechanics. The brisk style allows the text to cover a wide range of topics including viscous flow, magnetohydrodynamics, atmospheric flows, shock equations, turb...

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This book develops continuum modeling skills and approaches the topic from three sides: (1) derivation of global integral laws together with the associated local differential equations, (2) design of constitutive laws and (3) modeling boundary pro...

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This book presents in detail a pair of models of the economics of climate change. The models, called RICE-99 (for the Regional Dynamic Integrated model of Climate and the Economy) and DICE-99 (for the Dynamic Integrated Model of Climate and the Ec...

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Hur får man elever att utveckla de förmågor som styrdokumenten skriver fram? Här finns en god hjälp på vägen. Modellering är ett sätt att iscensätta resonemang och kommunikation. Matematisk modellering kräver begreppsförståelse och procedurer och ...

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An Introduction to Bond Graph Modeling with Applications presents a collection of exercises on dynamical systems, modeling and control for university students in the areas of engineering, physics and applied mathematics. We can find several books ...

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This book contains examples and exercises with modeling problems together with complete solutions. The contents is tailored to the book Ljung-Glad: Modeling and Identification of Dynamic Systems (Studentlitteratur, 2016). The exercises are of diff...

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A clear and informative introduction to the science of codebreaking, explaining what algorithms do, how they are used, the risks associated with using them, and why governments should be concerned.

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Graph-structured data is ubiquitous throughout the natural and social sciences, from telecommunication networks to quantum chemistry. Building relational inductive biases into deep learning architectures is crucial for creating systems that can le...

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The book gives a comprehensive and lucid account of the science of the atmospheric boundary layer (ABL). There is an emphasis on the application of the ABL to numerical modelling of the climate. The book comprises nine chapters, several appendices...

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The origami introduced in this book is based on simple techniques. Some were previously known by origami artists and some were discovered by the author. Curved-Folding Origami Design shows a way to explore new area of origami composed of curved fo...

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The human brain is made up of 85 billion neurons, which are connected by over 100 trillion synapses. For more than a century, a diverse array of researchers searched for a language that could be used to capture the essence of what these neurons do...

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How do mathematical models shape our world - and how can we harness this power for good? Models are at the centre of everything we do. Whether we use them or are simply affected by them, they act as metaphors that help us better understand the inc...

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MATLAB and Simulink Crash Course for Engineers is a reader-friendly introductory guide to the features, functions, and applications of MATLAB and Simulink. The book provides readers with real-world examples, exercises, and applications, and offers...

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This book introduces likelihood as a unifying concept in statistical modelling and inference. The complete range of concepts and applications are covered, from very simple to very complex studies. It relies on realistic examples, and presents the ...

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This attractive textbook with its easy-to-follow presentation provides a down-to-earth introduction to operations research for students in a wide range of fields such as engineering, business analytics, mathematics and statistics, computer science...

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In contrast to mainstream economics, complexity theory conceives the economy as a complex system of heterogeneous interacting agents characterised by limited information and bounded rationality. Agent Based Models (ABMs) are the analytical and com...

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Fundamentals of Weather and Climate offers an engaging and insightful treatment of the behaviour of the lower atmosphere, and takes a quantitative approach to describing the mechanisms underlying this behaviour.

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This is a book about a gambling system that works. It tells the story of how the author used computer simulations and mathematical modeling techniques to predict the outcome of jai-alai matches and bet on them successfully - increasing his initial...

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Exam Board: SQA Subject: Maths First Teaching: 2015, First Exam: 2016 This CfE Maths Problem-Solving Skills Pupil Book features differentiated maths investigations to help pupils transfer their maths skills to real-life contexts. Each activity is ...

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Over recent years, a number of people actively involved in engineering, but also in other fields, have worked on the topic of international stability. Workshops have been held in various places and organized by different people and institutions. T...

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