Matematisk modellering

Denna bok beskriver metodiken att konstruera matematiska modeller för en process ur grundläggande fysikaliska samband och ur uppmätta signaler från processen. Bland annat behandlas en allmän metod baserad på s.k. bindningsgrafer (bond graphs) och ...

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This book introduces machine learning for readers with some background in basic linear algebra, statistics, probability, and programming. In a coherent statistical framework it covers a selection of supervised machine learning methods, from the mo...

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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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Mathematical models of real life systems and processes are essential in today"s industrial work. To be able to construct such models is therefore a fundamental skill in modern engineering. This is a book about how to build models both from fi...

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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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'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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How do we know that climate change is an emergency? How did the scientific community reach this conclusion all but unanimously, and what tools did they use to do it? This book tells the story of climate models, tracing their history from nineteent...

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Handbook of Price Impact Modeling provides practitioners and students with a mathematical framework grounded in academic references to apply price impact models to quantitative trading and portfolio management. Automated trading is now the dominan...

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The Earth and environmental sciences are becoming progressively more quantitative due to the increased use of mathematical models and new data analysis techniques. This accessible introduction presents an overview of the mathematical methods essen...

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This textbook on the basics of option pricing is accessible to readers with limited mathematical training. It is for both professional traders and undergraduates studying the basics of finance. Assuming no prior knowledge of probability, Sheldon M...

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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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The focus of this book is on providing students with insights into geometry that can help them understand deep learning from a unified perspective. Rather than describing deep learning as an implementation technique, as is usually the case in many...

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Smittsamma utbrott kan anta många former; från innovationer till gängkriminalitet. Ibland vill vi att saker ska ta fart, ibland är det livsavgörande att de stannar upp. För varje virus som hoppar från djur till människa och blir en pandemi är det ...

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Mathematical Modelling with Case Studies: Using Maple and MATLAB, Third Edition provides students with hands-on modelling skills for a wide variety of problems involving differential equations that describe rates of change. While the book focuses ...

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This book provides a practical, comprehensive and up-to-date overview of the use of spatial statistics in epidemiology - the study of the incidence and distribution of diseases. Spatial analytical methods in conjunction with GIS and remotely sense...

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Complex systems are everywhere. Ecosystems, financial markets, traffic, the economy, the internet and social media are complex systems. This textbook summarizes our understanding of complex systems and the methodological progress made over the pas...

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'Fascinating' - Financial Times Algorithms are running our society, and as the Cambridge Analytica story has revealed, we dont really know what they are up to. Our increasing reliance on technology and the internet has opened a window fo...

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This textbook on the basics of option pricing is accessible to readers with limited mathematical training. It is for both professional traders and undergraduates studying the basics of finance. Assuming no prior knowledge of probability, Sheldon M...

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This book brings together, in a single volume, the fields of multicriteria decision making and multiobjective optimization that are traditionally covered separately. Both fields have in common the presence of multiple perspectives of looking at an...

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The Primacy of Doubt takes us on a unique journey through the science of uncertainty, covering a breathtaking range of topics, from climate change to the foundations of quantum physics, economic modelling to conflict prediction, free will to consc...

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Data-driven discovery is revolutionizing how we model, predict, and control complex systems. Now with Python and MATLAB, this textbook trains mathematical scientists and engineers for the next generation of scientific discovery by offering a broad...

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Applied Statistical Modelling for Ecologists provides a gentle introduction to the essential models of applied statistics: linear models, generalized linear models, mixed and hierarchical models. All models are fit with both a likelihood and a Bay...

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The focus of this book is on providing students with insights into geometry that can help them understand deep learning from a unified perspective. Rather than describing deep learning as an implementation technique, as is usually the case in many...

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Mathematical modeling is critical to our understanding of how infectious diseases spread at the individual and population levels. This book gives readers the necessary skills to correctly formulate and analyze mathematical models in infectious dis...

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This book mathematically analyzes the basic problems of biology, decision making and psychology within the framework of the theory of open quantum systems. In recent years there has been an explosion of interest in applications of quantum theory i...

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Physiologically Based Pharmacokinetic (PBPK) Modeling: Methods and Applications in Toxicology and Risk Assessment presents foundational principles, advanced techniques and applications of PBPK modeling. Contributions from experts in PBPK modeling ...

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Providing a detailed and pedagogical account of the rapidly-growing field of computational statistical physics, this book covers both the theoretical foundations of equilibrium and non-equilibrium statistical physics, and also modern, computationa...

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The first comprehensive defense of an inferential conception of scientific representation with applications to art and epistemology. Mauricio Surez develops a conception of representation that delivers a compelling account of modeling practice. He...

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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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This book is a clear and informative introduction to cryptography and data protection - subjects of considerable social and political importance. It explains what algorithms do, how they are used, the risks associated with using them, and why gove...

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