Mathematical modelling
Mathematical modelling encompasses the techniques and theories used to represent real-world problems through mathematical expressions. Aimed at students and professionals in fields like engineering, economics, and sciences, this category offers essential insights and applications that bridge theory and practice. It appeals to those seeking to enhance their analytical skills and develop effective solutions to complex issues.
Analysis of Kinetic Reaction Mechanisms
Alison S. Tomlin, Tamás Turányi
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Complexity Science: The Study of Emergence
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Computing the Climate: How We Know What We Know About Climate Change
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Learning Scientific Programming with Python
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Essentials of Game Theory: A Concise Multidisciplinary Introduction
Yoav Shoham, Kevin Leyton-Brown
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Geodesy
Roland Pail, Wolfgang Torge, Jürgen Müller
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Introduction to Catastrophe Risk Modelling: A Physics-based Approach
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The Cellular Automaton Interpretation of Quantum Mechanics
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Predicting Our Climate Future: What We Know, What We Dont Know, And What We Cant Know
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The Rules of Contagion: Why Things Spread - and Why They Stop
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The Primacy of Doubt: From climate change to quantum physics, how the science of uncertainty can help predict and understand our chaotic world
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Computational Science and Engineering
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Probability Theory: An Advanced Course
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Evolutionary Computing: AISB Workshop, Sheffield, U.K., April 3 - 4, 1995. Selected Papers
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Identifiability of State Space Models: with applications to transformation systems
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Algorithm Theory - SWAT 94: 4th Scandianvian Workshop on Algorithm Theory, Aarhus, Denmark, July 6-8, 1994. Proceedings
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Artificial Evolution: European Conference, AE 95, Brest, France, September 4 - 6, 1995. Selected Papers.
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Elements of Distributed Algorithms: Modeling and Analysis with Petri Nets
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Comparisons of Stochastic Matrices with Applications in Information Theory, Statistics, Economics and Population Sciences
J. H. B. Kemperman, Gheorghe Zb¿ganu, Joel E. Cohen
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An Introduction to the Mechanics of Fluids
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Linear Mixed Models for Longitudinal Data
Geert Verbeke, Geert Molenberghs
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Modeling and Simulation in Medicine and the Life Sciences
Charles S. Peskin, Frank C. Hoppensteadt
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Multivariate Statistical Modelling Based on Generalized Linear Models
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Cellular Automata Transforms: Theory and Applications in Multimedia Compression, Encryption, and Modeling
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Semiparametric Methods in Econometrics
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Category „Mathematical modelling“
Mathematical modelling serves as a vital bridge between abstract mathematical theories and real-world applications, making it an essential topic for anyone interested in the interplay of mathematics and practical problem-solving. This category encompasses a wide range of texts that illustrate how mathematical concepts can be translated into models that help analyze complex systems, whether in engineering, economics, environmental science, or other fields.
The history of mathematical modelling dates back centuries, yet it continues to evolve, adapting to the challenges and nuances of modern-day problems. By studying mathematical modelling, readers join a long tradition of thinkers who have sought to harness the power of mathematics to understand and predict phenomena in the universe. This category is particularly beneficial for students, researchers, and professionals in applied mathematics, as well as anyone looking to deepen their comprehension of how mathematical theories apply to practical situations.
Alluding to a world enriched by data and scenarios, the exploration of this discipline allows individuals to develop analytical skills, enhance decision-making abilities, and cultivate a problem-solving mindset. Readers will find a diverse selection of books that cover various aspects of the subject, providing insights into constructing effective models and interpreting results. Whether through case studies or theoretical frameworks, these resources illuminate the significance of modelling in advancing knowledge and innovation across multiple domains.
Authors and publishers contributing to this category come from academic institutions and professional bodies, ensuring that the material is filled with accuracy and authority. With their expertise, they guide readers through the complexities of mathematical modelling, presenting not only fundamental principles but also the latest research and applications in the field. With a commitment to fostering a deeper understanding of these concepts, this category stands as a valuable resource for anyone looking to explore the fascinating world of mathematical modelling.