LoveReading

Becoming a member of the LoveReading community is free.

No catches, no fine print just unadulterated book loving, with your favourite books saved to your own digital bookshelf.

New members get entered into our monthly draw to win £100 to spend in your local bookshop Plus lots lots more…

Find out more

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!

Machine Learning Hands-On for Developers and Technical Professionals

Machine Learning Hands-On for Developers and Technical Professionals

Author: Jason Bell Format: Paperback / softback Release Date: 07/05/2020

Dig deep into the data with a hands-on guide to machine learning with updated examples and more! Machine Learning: Hands-On for Developers and Technical Professionals provides hands-on instruction and fully-coded working examples for the most common machine learning techniques used by developers and technical professionals. The book contains a breakdown of each ML variant, explaining how it works and how it is used within certain industries, allowing readers to incorporate the presented techniques into their own work as they follow along. A core tenant of machine learning is a strong focus on data preparation, and a full exploration of the various types of learning algorithms illustrates how the proper tools can help any developer extract information and insights from existing data. The book includes a full complement of Instructor's Materials to facilitate use in the classroom, making this resource useful for students and as a professional reference. At its core, machine learning is a mathematical, algorithm-based technology that forms the basis of historical data mining and modern big data science. Scientific analysis of big data requires a working knowledge of machine learning, which forms predictions based on known properties learned from training data. Machine Learning is an accessible, comprehensive guide for the non-mathematician, providing clear guidance that allows readers to: Learn the languages of machine learning including Hadoop, Mahout, and Weka Understand decision trees, Bayesian networks, and artificial neural networks Implement Association Rule, Real Time, and Batch learning Develop a strategic plan for safe, effective, and efficient machine learning By learning to construct a system that can learn from data, readers can increase their utility across industries. Machine learning sits at the core of deep dive data analysis and visualization, which is increasingly in demand as companies discover the goldmine hiding in their existing data. For the tech professional involved in data science, Machine Learning: Hands-On for Developers and Technical Professionals provides the skills and techniques required to dig deeper.

ISE Numerical Methods for Engineers

ISE Numerical Methods for Engineers

Author: Steven Chapra, Raymond Canale Format: Paperback / softback Release Date: 05/05/2020

The eighth edition of Chapra and Canale's Numerical Methods for Engineers retains the instructional techniques that have made the text so successful. The book covers the standard numerical methods employed by both students and practicing engineers. Although relevant theory is covered, the primary emphasis is on how the methods are applied for engineering problem solving. Each part of the book includes a chapter devoted to case studies from the major engineering disciplines. Numerous new or revised end-of chapter problems and case studies are drawn from actual engineering practice. This edition also includes several new topics including a new formulation for cubic splines, Monte Carlo integration, and supplementary material on hyperbolic partial differential equations.

Oxford Revise: Edexcel GCSE (9-1) Maths Higher Revision Guide

Oxford Revise: Edexcel GCSE (9-1) Maths Higher Revision Guide

Author: Katie Wood Format: Paperback / softback Release Date: 04/05/2020

Straightforward, visual and accessible: the Oxford Revise Edexcel GCSE Maths series offers no-fuss Revision Guides and Workbooks that ease the stress of revision. Every topic is covered on a single page, with a 1-to-1 page match between the Guide and Workbook, giving you a straightforward, pick-up-and-go solution. This Edexcel GCSE Maths Higher Revision Guide gives you: - A colourful, friendly design using diagrams and visual memory tricks to boost retention - 9-1 GCSE grades on every topic and question so you can monitor your own progress and set your own goals - For the trickier topics, 'Climb-to-9' pages offering dedicated help on the problem areas identified by the Edexcel examiners - Great practice, with questions written precisely in the Edexcel exam style, and reviewed by practising examiners - Innovative 'Guided Answers' at the back of the book help you to mark your own work - Easy transition if you're using the accompanying Edexcel Higher Revision Workbook, with every page matched 1-to-1 Perfect for your GCSE preparation, this is the most supportive, targeted Revision Guide available.

Multiple Fixed-Point Theorems and Applications in the Theory of ODEs, FDEs and PDEs

Multiple Fixed-Point Theorems and Applications in the Theory of ODEs, FDEs and PDEs

Author: Svetlin G. Georgiev, Khaled Zennir Format: Hardback Release Date: 01/05/2020

The aim of this book is to present a clear and well-organized treatment of the concept behind the development of mathematics and solution techniques. The main aim of this monograph is to study existence of multiple fixed points for some operators that are of the form T + F, where T is an expansive operator and F is a k-set contraction. The monograph offers the reader an overview of recent developments of multiple fixed point theorems and their applications.

Meeting under the Integral Sign? The Oslo Congress of Mathematicians on the Eve of the Second World War

Meeting under the Integral Sign? The Oslo Congress of Mathematicians on the Eve of the Second World War

Author: Christopher D. Hollings, Reinhard Siegmund-Schultze Format: Hardback Release Date: 30/04/2020

This book examines the historically unique conditions under which the International Congress of Mathematicians took place in Oslo in 1936. This Congress was the only one on this level to be held during the period of the Nazi regime in Germany (1933-1945) and after the wave of emigrations from it. Relying heavily on unpublished archival sources, the authors consider the different goals of the various participants in the Congress, most notably those of the Norwegian organizers, and the Nazi-led German delegation. They also investigate the reasons for the absence of the proposed Soviet and Italian delegations. In addition, aiming to shed light onto the mathematical dimension of the Congress, the authors provide overviews of the nineteen plenary presentations, as well as their planning and development. Biographical information about each of the plenary speakers rounds off the picture. The Oslo Congress, the first at which Fields Medals were awarded, is used as a lens through which the reader of this book can view the state of the art of mathematics in the mid-1930s.

Mathematics for Enzyme Reaction Kinetics and Reactor Performance 2 Volume Set

Mathematics for Enzyme Reaction Kinetics and Reactor Performance 2 Volume Set

Author: F. Xavier Malcata Format: Hardback Release Date: 27/04/2020

Mathematics for Enzyme Reaction Kinetics and Reactor Performance is the first set in a unique 11 volume-collection on Enzyme Reactor Engineering. This two volume-set relates specifically to the wide mathematical background required for systematic and rational simulation of both reaction kinetics and reactor performance; and to fully understand and capitalize on the modelling concepts developed. It accordingly reviews basic and useful concepts of Algebra (first volume), and Calculus and Statistics (second volume). A brief overview of such native algebraic entities as scalars, vectors, matrices and determinants constitutes the starting point of the first volume; the major features of germane functions are then addressed. Vector operations ensue, followed by calculation of determinants. Finally, exact methods for solution of selected algebraic equations - including sets of linear equations, are considered, as well as numerical methods for utilization at large. The second volume begins with an introduction to basic concepts in calculus, i.e. limits, derivatives, integrals and differential equations; limits, along with continuity, are further expanded afterwards, covering uni- and multivariate cases, as well as classical theorems. After recovering the concept of differential and applying it to generate (regular and partial) derivatives, the most important rules of differentiation of functions, in explicit, implicit and parametric form, are retrieved - together with the nuclear theorems supporting simpler manipulation thereof. The book then tackles strategies to optimize uni- and multivariate functions, before addressing integrals in both indefinite and definite forms. Next, the book touches on the methods of solution of differential equations for practical applications, followed by analytical geometry and vector calculus. Brief coverage of statistics-including continuous probability functions, statistical descriptors and statistical hypothesis testing, brings the second volume to a close.

Principles of Managerial Statistics and Data Science

Principles of Managerial Statistics and Data Science

Author: Roberto Rivera Format: Hardback Release Date: 19/04/2020

Introduces readers to the principles of managerial statistics and data science, with an emphasis on statistical literacy of business students Through a statistical perspective, this book introduces readers to the topic of data science, including Big Data, data analytics, and data wrangling. Chapters include multiple examples showing the application of the theoretical aspects presented. It features practice problems designed to ensure that readers understand the concepts and can apply them using real data. Over 100 open data sets used for examples and problems come from regions throughout the world, allowing the instructor to adapt the application to local data with which students can identify. Applications with these data sets include: Assessing if searches during a police stop in San Diego are dependent on driver's race Visualizing the association between fat percentage and moisture percentage in Canadian cheese Modeling taxi fares in Chicago using data from millions of rides Analyzing mean sales per unit of legal marijuana products in Washington state Topics covered in Principles of Managerial Statistics and Data Science include: data visualization; descriptive measures; probability; probability distributions; mathematical expectation; confidence intervals; and hypothesis testing. Analysis of variance; simple linear regression; and multiple linear regression are also included. In addition, the book offers contingency tables, Chi-square tests, non-parametric methods, and time series methods. The textbook: Includes academic material usually covered in introductory Statistics courses, but with a data science twist, and less emphasis in the theory Relies on Minitab to present how to perform tasks with a computer Presents and motivates use of data that comes from open portals Focuses on developing an intuition on how the procedures work Exposes readers to the potential in Big Data and current failures of its use Supplementary material includes: a companion website that houses PowerPoint slides; an Instructor's Manual with tips, a syllabus model, and project ideas; R code to reproduce examples and case studies; and information about the open portal data Features an appendix with solutions to some practice problems Principles of Managerial Statistics and Data Science is a textbook for undergraduate and graduate students taking managerial Statistics courses, and a reference book for working business professionals.

Advances in Mathematics Research Volume 27

Advances in Mathematics Research Volume 27

Author: Albert R Baswell Format: Hardback Release Date: 18/04/2020

Volume 27 first aims to approach the dynamical systems analysis from a new standpoint; feedback linearisation, a method with a lot of applications. For both linear and non-linear dynamic systems, this method offers an interesting perspective from the qualitative approach stance. The authors examine the implementation of gas-assisted electrical discharge machining of D3 die steel. One of the fundamental disadvantages of the traditional EDM machining process is poor material removal rate. Numerical results for a wide range of Reynolds numbers are presented, including moderate and high Reynolds numbers, and two different numerical schemes to solve this kind of problem are described. For the analysis and interpretation of probabilistic engineering calculations, including those concerning the estimation of the safety of structures, symmetrical normal distribution is often used. In one study, the authors propose that such a distribution may be a linear combination of normal distribution and Gumbel distribution. This compilation goes on to present the problems that arise from the M|G| queue system busy period and busy cycle, an idle period followed by a busy period. The renewal function is calculated, as well as the peakedness and the modified peakedness for the M|G| busy period and busy cycle time length. Based on earlier research and using new mathematical methods, the authors present a theory using functional integrals for obtaining probability distributions of phase invariants in which N (the number of atoms in the asymmetric unit) doesnt appear anymore. Also proposed is a numerically realisable explicit formula for the solution to the Cauchy problem for a linear elliptic equation. In closing, a mathematical model assessing the effect of tobacco smoking on the dynamics of tuberculosis transmission is formulated and analysed. In the absence and presence of smokers, theoretical results indicate the possibility of the phenomenon of backward bifurcation where a stable disease-free equilibrium co-exists with a stable endemic equilibrium when the associated reproduction threshold is less than unity. However, the analysis of the associated reproduction thresholds of the model with smokers shows that tobacco smoking has a detrimental effect on tuberculosis dynamics.

Design and Optimization for 5G Wireless Communications

Design and Optimization for 5G Wireless Communications

Author: Haesik Kim Format: Hardback Release Date: 16/04/2020

This book offers a technical background to the design and optimization of wireless communication systems, covering optimization algorithms for wireless and 5G communication systems design. The book introduces the design and optimization systems which target capacity, latency, and connection density; including Enhanced Mobile Broadband Communication (eMBB), Ultra-Reliable and Low Latency Communication (URLL), and Massive Machine Type Communication (mMTC). The book is organized into two distinct parts: Part I, mathematical methods and optimization algorithms for wireless communications are introduced, providing the reader with the required mathematical background. In Part II, 5G communication systems are designed and optimized using the mathematical methods and optimization algorithms.

Mathematics for Enzyme Reaction Kinetics and Reactor Performance

Mathematics for Enzyme Reaction Kinetics and Reactor Performance

Author: F. Xavier Malcata Format: Other digital Release Date: 06/04/2020

Mathematics for Enzyme Reaction Kinetics and Reactor Performance is the first set in a unique 11 volume-collection on Enzyme Reactor Engineering. This two volume-set relates specifically to the wide mathematical background required for systematic and rational simulation of both reaction kinetics and reactor performance; and to fully understand and capitalize on the modelling concepts developed. It accordingly reviews basic and useful concepts of Algebra (first volume), and Calculus and Statistics (second volume). A brief overview of such native algebraic entities as scalars, vectors, matrices and determinants constitutes the starting point of the first volume; the major features of germane functions are then addressed. Vector operations ensue, followed by calculation of determinants. Finally, exact methods for solution of selected algebraic equations - including sets of linear equations, are considered, as well as numerical methods for utilization at large. The second volume begins with an introduction to basic concepts in calculus, i.e. limits, derivatives, integrals and differential equations; limits, along with continuity, are further expanded afterwards, covering uni- and multivariate cases, as well as classical theorems. After recovering the concept of differential and applying it to generate (regular and partial) derivatives, the most important rules of differentiation of functions, in explicit, implicit and parametric form, are retrieved - together with the nuclear theorems supporting simpler manipulation thereof. The book then tackles strategies to optimize uni- and multivariate functions, before addressing integrals in both indefinite and definite forms. Next, the book touches on the methods of solution of differential equations for practical applications, followed by analytical geometry and vector calculus. Brief coverage of statistics-including continuous probability functions, statistical descriptors and statistical hypothesis testing, brings the second volume to a close.

Complex Systems Dynamics (volume Ii)

Complex Systems Dynamics (volume Ii)

Author: Gerard Weisbuch Format: Paperback / softback Release Date: 03/04/2020

This book provides an accessible introduction to complex systems viewed as networks of automata, using primarily examples drawn from the physics of disordered systems, neural networks, and the origins of life. It is helpful for readers with a university education in science or engineering.

Decentralization In Infinite Horizon Economies

Decentralization In Infinite Horizon Economies

Author: Mukul Majumdar Format: Paperback / softback Release Date: 02/04/2020

This book summarizes some issues involved in developing a theory of decentralized resource allocation mechanism in infinite horizon economies. It constitutes a definitive account of cutting-edge research on a topic of continuing importance in price theory. .