Matematisk modellering

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 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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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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'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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This book offers a comprehensive exploration of the transformative role that edge devices play in advancing Internet of Things (IoT) applications. By providing real-time processing, reduced latency, increased efficiency, improved security, and sca...

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Which scientific results can we trust? This question has been brought to the forefront of research in the social sciences in recent years with the movement towards open science practices and preregistration. Systematic replication studies of labor...

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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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Linear algebra and the foundations of deep learning, together at last! From Professor Gilbert Strang, acclaimed author of Introduction to Linear Algebra, comes Linear Algebra and Learning from Data, the first textbook that teaches linear algebra t...

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Einstein's theory of general relativity describes the gravitational field of a system of stars and predicts their paths by providing the 'equations of motion' of each star. Extracting these equations from his field equations is a highly technical ...

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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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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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A long long time ago, echoing philosophical and aesthetic principles that existed since antiquity, William of Ockham enounced the principle of parsimony, better known today as Ockhams razor: Entities should not be multiplied without neces sity. Th...

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This book is an essential supplement for MOST (Maynard Operation Sequence Technique) certification training. An excellent resource for practicing professionals and newcomers in the fields of industrial engineering and management, it provides a det...

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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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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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Focusing on the physics of thecatastrophe process and addressed directly to advanced students, this innovative textbook quantifies dozens of perils, both natural and man-made, and covers the latest developments in catastrophe modelling. Combining ...

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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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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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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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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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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 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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**2025 PROSE Award Finalist in Environmental Science** Applied Statistical Modelling for Ecologists provides a gentle introduction to the essential models of applied statistics: linear models, generalized linear models, mixed and hierarchical mode...

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