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Mathematics

See below for a selection of the latest books from Mathematics category. Presented with a red border are the Mathematics books that have been lovingly read and reviewed by the experts at Lovereading. With expert reading recommendations made by people with a passion for books and some unique features Lovereading will help you find great Mathematics books and those from many more genres to read that will keep you inspired and entertained. And it's all free!

Abacus

Abacus

Author: Jesse Dilson Format: Paperback / softback Release Date: 11/12/2020

Algebraic Analysis of Multiple, Signed, and Affiliation Networks

Algebraic Analysis of Multiple, Signed, and Affiliation Networks

Author: J. Antonio R. Ostoic Format: Hardback Release Date: 10/12/2020

Presented in a comprehensive manner, this book provides a comprehensive foundation in algebraic approaches for the analysis of different types of social networks such as multiple, signed, and affiliation networks. The study of such configurations corresponds to the structural analysis within the social sciences, and the methods applied for the analysis are in the areas of abstract algebra, combinatorics, and graph theory. Current research in social networks has moved toward the examination of more realistic but also more complex social relations by which agents or actors are connected in multiple ways. Addressing this trend, this book offers hands-on training of the algebraic procedures presented along with the computer package multiplex, written by the book's author specifically to perform analyses of multiple social networks. An introductory section on both complex networks and for R will feature, however the subjects themselves correspond to advanced courses on social network analysis with the specialization on algebraic models and methods.

Partial Differential Equations

Partial Differential Equations

Author: Jacques Simon Format: Hardback Release Date: 09/12/2020

ISE Math in Our World: A Quantitative Reasoning Approach

ISE Math in Our World: A Quantitative Reasoning Approach

Author: David Sobecki, Brian Mercer Format: Paperback / softback Release Date: 08/12/2020

ISE MATH IN OUR WORLD: A QUANTITATIVE LITERACY APPROACH

ISE MATH IN OUR WORLD: A QUANTITATIVE LITERACY APPROACH

Author: David Sobecki, Brian Mercer Format: Paperback / softback Release Date: 08/12/2020

Blockchain Data Analytics For Dummies

Blockchain Data Analytics For Dummies

Author: Michael G. Solomon Format: Paperback / softback Release Date: 03/12/2020

Get ahead of the curve--learn about big data on the blockchain Blockchain came to prominence as the disruptive technology that made cryptocurrencies work. Now, data pros are using blockchain technology for faster real-time analysis, better data security, and more accurate predictions. Blockchain Data Analytics For Dummies is your quick-start guide to harnessing the potential of blockchain. Inside this book, technologists, executives, and data managers will find information and inspiration to adopt blockchain as a big data tool. Blockchain expert Michael G. Solomon shares his insight on what the blockchain is and how this new tech is poised to disrupt data. Set your organization on the cutting edge of analytics, before your competitors get there! Learn how blockchain technologies work and how they can integrate with big data Discover the power and potential of blockchain analytics Establish data models and quickly mine for insights and results Create data visualizations from blockchain analysis Discover how blockchains are disrupting the data world with this exciting title in the trusted For Dummies line!

Quantitative Analysis and Modeling of Earth and Environmental Data

Quantitative Analysis and Modeling of Earth and Environmental Data

Quantitative Analysis and Modeling of Earth and Environmental Data: Space-Time and Spacetime Data Considerations introduces the notion of chronotopologic data analysis that offers a systematic, quantitative analysis of multi-sourced data and provides information about the spatial distribution and temporal dynamics of natural attributes (physical, biological, health, social). It includes models and techniques for handling data that may vary by space and/or time, and aims to improve understanding of the physical laws of change underlying the available numerical datasets, while taking into consideration the in-situ uncertainties and relevant measurement errors (conceptual, technical, computational). It considers the synthesis of scientific theory-based methods (stochastic modeling, modern geostatistics) and data-driven techniques (machine learning, artificial neural networks) so that their individual strengths are combined by acting symbiotically and complementing each other. The notions and methods presented in Quantitative Analysis and Modeling of Earth and Environmental Data: Space-Time and Spacetime Data Considerations cover a wide range of data in various forms and sources, including hard measurements, soft observations, secondary information and auxiliary variables (ground-level measurements, satellite observations, scientific instruments and records, protocols and surveys, empirical models and charts). Including real-world practical applications as well as practice exercises, this book is a comprehensive step-by-step tutorial of theory-based and data-driven techniques that will help students and researchers master data analysis and modeling in earth and environmental sciences (including environmental health and human exposure applications).

Numerical Methods for Inverse Problems

Numerical Methods for Inverse Problems

Author: Olga Moreira Format: Hardback Release Date: 30/11/2020

The book Numerical Methods for Inverse Problems consists of contemporaneouss articles featuring not only several well-known inverse problems used in the inference of many physical and engineering systems such as that of the partial differential equations but also the statistical and imaging inverse problems. It includes a variety of numerical methods for solving inverse problems such as that of the Tikhonov regularization; finite differences; and orthogonal decomposition; as well as those based on Bayesian inference, artificial neural networks, and quantum annealing.

Graphs

Graphs

Author: Olga Moreira Format: Hardback Release Date: 30/11/2020

The book Graphs:Theory and Algorithm is a collection of modern articles features several graph-based methods and algorithms. It also covers important theoretical aspects pertaining to matrix representations of graphs such as the Laplacian and distance matrices which can be used for solving problems such that of the Hamiltonian and shortest path, as well as in finding minimum spanning trees and matching patterns.

Handbook of Mixture Analysis

Handbook of Mixture Analysis

Author: Olga Moreira Format: Hardback Release Date: 30/11/2020

The book Handbook of Mixture Analysis is a collection of peer-reviewed articles featuring several statistical data analysis methods based on mixture models and their applications in scientific domains such as data mining, machine learning, physics, mechanical engineering, signal processing, economics, cosmology, computational medicine, and more. This book covers several aspects of mixture analysis and variety of models such as the Gaussian Mixture Model (GMM), Dirichlet processes Mixture Model (DMM), Poisson Mixture Regression Model (PMRM), Hierarchical Gamma Mixture Model (HGMM), Quadratic Mixture Model (QMM), K-fold Mixture Model (KMM), Finite Mixture Model (FMM), and Multi-partitions Subspace Mixture Model (M-SMM).

Fractal Analysis

Fractal Analysis

Author: Olga Moreira Format: Hardback Release Date: 30/11/2020

The book Fractal Analysis is a collection of contemporaneous articles aims to guide the reader through the world of fractals. A world of computer-generated self-similar patterns that can capture the intricacy of natural structure such as snowflakes, fern leaves, and tree branching. A world that is not only aesthetically pleasing but that is also at the basis of new technologies such as fractal antennas included in every mobile phone. The book is centred on simulation models as well as on the implementation of different methods of measuring the spatial and temporal characteristics of fractal patterns. For instance, box-counting based methods that can be used to determine the fractal dimension of the edges of the Saturn's rings, forested landscapes, brain imaging data, and occurrence of words in text. It also includes an overview of fractal theory concepts, from self-similarity to the complexity of fractal networks.

Elements of Financial Mathematics

Elements of Financial Mathematics

Author: Stefano Spezia Format: Hardback Release Date: 30/11/2020

This book reviews the recent studies on the origin and evolution of atomic matter in the Universe, considering early Universe, interstellar regions, and the solar system. In particular, it focuses on the study of the Universe by spectroscopic observations, it examines the chemical history of the very early universe to the formation of first atoms, it treats of the creation of the higher elements in the heart of the stars, and it reviews the interstellar chemistry from the viewpoints of theory, experiments, models and observations. Moreover, it provides some examples of laboratory-based astrochemistry, and at last, it focuses on the evolutionary history of the moon and the inner solar system, and their Silica-rich volcanism.