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Dmitrii Legatiuk
Mathematical Modelling by Help of Category Theory

Mathematical Engineering

This monograph offers a novel structural perspective on the modelling of engineering problems, utilizing abstract mathematics in the form of category theory.Specifically, the book aims to enhance the unde…

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High Performance Computing in Science and Engineering '23

This book presents the state-of-the-art in supercomputer simulation. It includes the latest findings from leading researchers using one of Europe's top systems at the High Performance Computing Center Stu…

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Sylvie Méléard
Random Models in Biology, Ecology and Evolution

Texts in Applied Mathematics - Band 87

This book defines and develops probabilistic tools for modeling populations, describing the dynamics of biological quantities such as population size, allele proportions, and individual locations. Beginni…

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Methodological and Applied Statistics and Demography I

Italian Statistical Society Series on Advances in Statistics

This book of peer-reviewed short papers on methodological and applied statistics and demography is the first of four volumes from the 52nd Scientific Meeting of the Italian Statistical Society (SIS 2024),…

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Sujaul Chowdhury, Md. Golam Moktadir
Numerical Solutions Using the Taylor Series Method

Synthesis Lectures on Mathematics & Statistics

This book discusses the Taylor Series Method for numerical solution of initial and boundary value problems. A number of differential equations related to problems in physics have been solved numerically, …

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Mike Nguyen
Experimental Design

This volume provides a comprehensive introduction to the principles and practices of experimental design, a cornerstone of empirical research across disciplines. Covering foundational topics such as sampl…

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Statistical Models and Learning Methods for Complex Data

This book on statistical models and learning methods for complex data comprises a selection of peer-reviewed post-conference papers presented at the 14th Scientific Meeting of the Classification and Data …

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Ulrich Matter
An Introduction to Web Mining

Use R!

This book is devoted to the art and science of web mining --- showing how the world's largest information source can be turned into structured, research-ready data. Drawing on many years of teaching gradu…

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Michael Griebel, Peter Oswald
Hilbert Space Splittings and Iterative Methods

Springer Series in Computational Mathematics - Band 62

This book is about the theory of so-called Schwarz methods for solving variational problems in a Hilbert space V arising from linear equations and their associated quadratic minimization problems. Schwarz…

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Antonius B. Dieker, Steven T. Hackman
QPLEX: A Computational Modeling and Analysis Methodology for Stochastic Systems

Springer Series in Operations Research and Financial Engineering

This book introduces QPLEX, a powerful computational framework designed for modeling and analyzing nonstationary stochastic systems with large state spaces. The methodology excels at rapidly and accuratel…

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Computing Technologies and Applied Mathematics

Springer Proceedings in Mathematics & Statistics - Band 500

This proceedings volume convenes revised, selected works presented at the 3rd International Seminar on Computing Technologies and Applied Mathematics (CTAM2024), held at Komsomolsk-na-Amure State Universi…

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Statistical Modelling for Evidence-Based Public Health

Emerging Topics in Statistics and Biostatistics

This book presents a selection of statistical techniques and methods applied to analyze data arising from HIV/AIDS epidemiology, as well as child and maternal health. Evidence-based decision-making in pub…

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Stochastic Geometry: Percolation, Tesselations, Gaussian Fields and Point Processes

Lecture Notes in Mathematics - Band 2365

This volume covers a broad spectrum of topics in stochastic geometry, including percolation, tessellations, Gaussian fields and point processes. Based on lectures given at the Stochastic Geometry Days hel…

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Raymond J. Spiteri, Kyle Klenk
Extreme-Scale Computing

CMS/CAIMS Books in Mathematics - Band 15

Scientific computing is essential for tackling complex problems across many domains---but how can scientists develop high-performance and high-quality software that scales efficiently? This book serves as…

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Nicolas Marie
From Nonparametric Regression to Statistical Inference for Non-Ergodic Diffusion Processes

Frontiers in Probability and the Statistical Sciences

This book is about copies-based nonparametric estimation of the drift function in stochastic differential equations (SDEs) driven by Brownian motion, a jump process, or fractional Brownian motion. While t…

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Andrea Bellavia
Statistical Methods for Environmental Mixtures

Society, Environment and Statistics

This book provides a comprehensive introduction to statistical approaches for the assessment of complex environmental exposures, such as pollutants and chemical mixtures, within the exposome framework. En…

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The FEniCS Project

Simula SpringerBriefs on Computing - Band 19

This open access book provides the reader with a snapshot of the cutting-edge research being undertaken by the members of the FEniCS community, as presented at the FEniCS Conference at Simula Research Lab…

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Guy Latouche
Markov-Modulated Brownian Motion

Springer Series in Operations Research and Financial Engineering

This book explores regime-switching Brownian motion, a class of stochastic processes widely used in fields such as mathematical finance, risk theory, queueing theory, and epidemiological modeling. These p…

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Alan Garfinkel, Yina Guo
Understanding Data

This text introduces statistics to beginning students in a distinctly original and non-traditional way. It assumes minimal mathematical or statistical background, yet offers substantial depth that will al…

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Siri Chongchitnan
Exploring University Mathematics with Python

This book provides a unique tour of university mathematics with the help of Python. Written in the spirit of mathematical exploration and investigation, the book enables students to utilise Python to enri…

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