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Microeconomics in Context

Microeconomics in Context

Microeconomics in Context lays out the principles of microeconomics in a manner that is thorough up to date and relevant to students. Like its counterpart Macroeconomics in Context the book is uniquely attuned to economic social and environmental realities. The In Context books offer an engaging coverage of current research and policy issues from economic inequality and climate change to taxes and globalization. Key features include: Up-to-date discussions of the impacts of the COVID-19 pandemic on inequality labor markets and beyond Analysis of recent trade issues and the implications of Brexit Presentation of policy issues in historical environmental institutional social political and ethical contexts—an approach that fosters critical evaluation of the standard microeconomic models Clear explanations of basic concepts and analytical tools with advanced models presented in optional chapter appendices A powerful graphical presentation of various measures of well-being in the United States and other countries including income inequality tax systems educational attainment and environmental quality A focus on human well-being from a multidimensional perspective including traditional economic metrics and factors such as health equity and political inclusion A full complement of student and instructor support materials online. The book combines real-world relevance with a thorough grounding in multiple economic paradigms. It is the ideal textbook for modern introductory courses in microeconomics. The book's companion website is available at: www. bu. edu/eci/micro

GBP 56.99
1

Advanced Calculus An Introduction to Modern Analysis

Advanced Calculus An Introduction to Modern Analysis

Advanced Calculus: An Introduction to Modem Analysis an advanced undergraduate textbook provides mathematics majors as well as students who need mathematics in their field of study with an introduction to the theory and applications of elementary analysis. The text presents inan accessible form a carefully maintained balance between abstract concepts and applied results ofsignificance that serves to bridge the gap between the two- or three-cemester calculus sequence andsenior/graduate level courses in the theory and appplications of ordinary and partial differentialequations complex variables numerical methods and measure and integration theory. The book focuses on topological concepts such as compactness connectedness and metric spaces and topics from analysis including Fourier series numerical analysis complex integration generalizedfunctions and Fourier and Laplace transforms. Applications from genetics spring systems enzyme transfer and a thorough introduction to the classical vibrating string heat transfer andbrachistochrone problems illustrate this book's usefulness to the non-mathematics major. Extensiveproblem sets found throughout the book test the student's understanding of the topics andhelp develop the student's ability to handle more abstract mathematical ideas. Advanced Calculus: An Introduction to Modem Analysis is intended for junior- and senior-levelundergraduate students in mathematics biology engineering physics and other related disciplines. An excellent textbook for a one-year course in advanced calculus the methods employed in thistext will increase students' mathematical maturity and prepare them solidly for senior/graduatelevel topics. The wealth of materials in the text allows the instructor to select topics that are ofspecial interest to the student. A two- or three ll?lester calculus sequence is required for successfuluse of this book. | Advanced Calculus An Introduction to Modern Analysis

GBP 59.99
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Introduction To The Calculus of Variations And Its Applications

Introduction To The Calculus of Variations And Its Applications

This comprehensive text provides all information necessary for an introductory course on the calculus of variations and optimal control theory. Following a thorough discussion of the basic problem including sufficient conditions for optimality the theory and techniques are extended to problems with a free end point a free boundary auxiliary and inequality constraints leading to a study of optimal control theory. | Introduction To The Calculus of Variations And Its Applications

GBP 56.99
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Multivariate Calculus

Multivariate Calculus

This book is a compilation of all basic topics on functions of Several Variables and is primarily meant for undergraduate and post graduate students. Topics covered are: Limits continuities and differentiabilities of functions of several variables. Properties of Implicit functions and Jacobians. Extreme values of multivariate functions. Various types of integrals in planes and surfaces and their related theorems including Dirichlet and Liouville’s extension to Dirichlet. Print edition not for sale in South Asia (India Sri Lanka Nepal Bangladesh Pakistan or Bhutan) | Multivariate Calculus

GBP 82.99
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Fractional Calculus for Hydrology Soil Science and Geomechanics An Introduction to Applications

Fractional Calculus for Hydrology Soil Science and Geomechanics An Introduction to Applications

This book is an unique integrated treatise on the concepts of fractional calculus as models with applications in hydrology soil science and geomechanics. The models are primarily fractional partial differential equations (fPDEs) and in limited cases fractional differential equations (fDEs). It develops and applies relevant fPDEs and fDEs mainly to water flow and solute transport in porous media and overland and in some cases to concurrent flow and energy transfer. It is an integrated resource with theory and applications for those interested in hydrology hydraulics and fluid mechanics. The self-contained book summaries the fundamentals for porous media and essential mathematics with extensive references supporting the development of the model and applications. | Fractional Calculus for Hydrology Soil Science and Geomechanics An Introduction to Applications

GBP 59.99
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Functional Analysis Calculus of Variations and Numerical Methods for Models in Physics and Engineering

Functional Analysis Calculus of Variations and Numerical Methods for Models in Physics and Engineering

The book discusses basic concepts of functional analysis measure and integration theory calculus of variations and duality and its applications to variational problems of non-convex nature such as the Ginzburg-Landau system in superconductivity shape optimization models dual variational formulations for micro-magnetism and others. Numerical Methods for such and similar problems such as models in flight mechanics and the Navier-Stokes system in fluid mechanics have been developed through the generalized method of lines including their matrix finite dimensional approximations. It concludes with a review of recent research on Riemannian geometry applied to Quantum Mechanics and Relativity. The book will be of interest to applied mathematicians and graduate students in applied mathematics. Physicists engineers and researchers in related fields will also find the book useful in providing a mathematical background applicable to their respective professional areas. | Functional Analysis Calculus of Variations and Numerical Methods for Models in Physics and Engineering

GBP 64.99
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Introduction to Financial Derivatives with Python

Introduction to Financial Derivatives with Python

Introduction to Financial Derivatives with Python is an ideal textbook for an undergraduate course on derivatives whether on a finance economics or financial mathematics programme. As well as covering all of the essential topics one would expect to be covered the book also includes the basis of the numerical techniques most used in the financial industry and their implementation in Python. Features Connected to a Github repository with the codes in the book. The repository can be accessed at https://bit. ly/3bllnuf Suitable for undergraduate students as well as anyone who wants a gentle introduction to the principles of quantitative finance No pre-requisites required for programming or advanced mathematics beyond basic calculus

GBP 74.99
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Introductory Concepts for Abstract Mathematics

Introductory Concepts for Abstract Mathematics

Beyond calculus the world of mathematics grows increasingly abstract and places new and challenging demands on those venturing into that realm. As the focus of calculus instruction has become increasingly computational it leaves many students ill prepared for more advanced work that requires the ability to understand and construct proofs. Introductory Concepts for Abstract Mathematics helps readers bridge that gap. It teaches them to work with abstract ideas and develop a facility with definitions theorems and proofs. They learn logical principles and to justify arguments not by what seems right but by strict adherence to principles of logic and proven mathematical assertions - and they learn to write clearly in the language of mathematicsThe author achieves these goals through a methodical treatment of set theory relations and functions and number systems from the natural to the real. He introduces topics not usually addressed at this level including the remarkable concepts of infinite sets and transfinite cardinal numbersIntroductory Concepts for Abstract Mathematics takes readers into the world beyond calculus and ensures their voyage to that world is successful. It imparts a feeling for the beauty of mathematics and its internal harmony and inspires an eagerness and increased enthusiasm for moving forward in the study of mathematics.

GBP 59.99
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Monte Carlo Simulation with Applications to Finance

Monte Carlo Simulation with Applications to Finance

Developed from the author’s course on Monte Carlo simulation at Brown University Monte Carlo Simulation with Applications to Finance provides a self-contained introduction to Monte Carlo methods in financial engineering. It is suitable for advanced undergraduate and graduate students taking a one-semester course or for practitioners in the financial industry. The author first presents the necessary mathematical tools for simulation arbitrary free option pricing and the basic implementation of Monte Carlo schemes. He then describes variance reduction techniques including control variates stratification conditioning importance sampling and cross-entropy. The text concludes with stochastic calculus and the simulation of diffusion processes. Only requiring some familiarity with probability and statistics the book keeps much of the mathematics at an informal level and avoids technical measure-theoretic jargon to provide a practical understanding of the basics. It includes a large number of examples as well as MATLAB® coding exercises that are designed in a progressive manner so that no prior experience with MATLAB is needed.

GBP 59.99
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Mathematical Modeling in Biology A Research Methods Approach

Mathematical Modeling in Biology A Research Methods Approach

Mathematical Modeling in Biology: A Research Methods Approach is a textbook written primarily for advanced mathematics and science undergraduate students and graduate-level biology students. Although the applications center on ecology the expertise of the authors the methodology can be imported to any other science including social science and economics. The aim of the book beyond being a useful aid to teaching and learning the core modeling skills needed for mathematical biology is to encourage students to think deeply and clearly about the meaning of mathematics in science and to learn significant research methods. Most importantly it is hoped that students will experience some of the excitement of doing research. Features Minimal pre-requisites beyond a solid background in calculus such as a calculus I course. Suitable for upper division mathematics and sciences students and graduate-level biology students. Provides sample MATLAB codes and instruction in Appendices along with datasets available on https://bit. ly/3fcLF3D | Mathematical Modeling in Biology A Research Methods Approach

GBP 59.99
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Chemical Thermodynamics and Information Theory with Applications

Chemical Thermodynamics and Information Theory with Applications

Thermodynamics and information touch theory every facet of chemistry. However the physical chemistry curriculum digested by students worldwide is still heavily skewed toward heat/work principles established more than a century ago. Rectifying this situation Chemical Thermodynamics and Information Theory with Applications explores applications drawn from the intersection of thermodynamics and information theory—two mature and far-reaching fields. In an approach that intertwines information science and chemistry this book covers: The informational aspects of thermodynamic state equations The algorithmic aspects of transformations—compression expansion cyclic and more The principles of best-practice programming How molecules transmit and modify information via collisions and chemical reactions Using examples from physical and organic chemistry this book demonstrates how the disciplines of thermodynamics and information theory are intertwined. Accessible to curiosity-driven chemists with knowledge of basic calculus probability and statistics the book provides a fresh perspective on time-honored subjects such as state transformations heat and work exchanges and chemical reactions.

GBP 59.99
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Regression Modeling Methods Theory and Computation with SAS

Regression Modeling Methods Theory and Computation with SAS

Regression Modeling: Methods Theory and Computation with SAS provides an introduction to a diverse assortment of regression techniques using SAS to solve a wide variety of regression problems. The author fully documents the SAS programs and thoroughly explains the output produced by the programs. The text presents the popular ordinary least squares (OLS) approach before introducing many alternative regression methods. It covers nonparametric regression logistic regression (including Poisson regression) Bayesian regression robust regression fuzzy regression random coefficients regression L1 and q-quantile regression regression in a spatial domain ridge regression semiparametric regression nonlinear least squares and time-series regression issues. For most of the regression methods the author includes SAS procedure code enabling readers to promptly perform their own regression runs. A Comprehensive Accessible Source on Regression Methodology and ModelingRequiring only basic knowledge of statistics and calculus this book discusses how to use regression analysis for decision making and problem solving. It shows readers the power and diversity of regression techniques without overwhelming them with calculations. | Regression Modeling Methods Theory and Computation with SAS

GBP 59.99
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Mathematical Modelling with Differential Equations

Mathematical Modelling with Differential Equations

Mathematical Modelling with Differential Equations aims to introduce various strategies for modelling systems using differential equations. Some of these methodologies are elementary and quite direct to comprehend and apply while others are complex in nature and require thoughtful deep contemplation. Many topics discussed in the chapter do not appear in any of the standard textbooks and this provides users an opportunity to consider a more general set of interesting systems that can be modelled. For example the book investigates the evolution of a toy universe discusses why alternate futures exists in classical physics constructs approximate solutions to the famous Thomas—Fermi equation using only algebra and elementary calculus and examines the importance of truly nonlinear and oscillating systems. Features Introduces defines and illustrates the concept of dynamic consistency as the foundation of modelling. Can be used as the basis of an upper-level undergraduate course on general procedures for mathematical modelling using differential equations. Discusses the issue of dimensional analysis and continually demonstrates its value for both the construction and analysis of mathematical modelling.

GBP 82.99
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Introductory Elements of Analysis and Design in Chemical Engineering

Introductory Elements of Analysis and Design in Chemical Engineering

Introductory Elements of Analysis and Design in Chemical Engineering introduces readers to how chemical engineers think. It explains the application of analytical methods to phenomena important in chemical engineering and teaches analytical skills in the context of engineering design. A principle goal is to help readers reinforce their understanding of mathematics (especially calculus) and science as they are introduced to engineering thinking. Key Features: Emphasizes basic principles methods and problem solving at an elementary level Presents concepts in calculus chemistry and physics and methods of analysis on the basis of experiment and observation Connects experimental results to mathematical representations Provides numerous illustrative examples and builds on them to introduce processing and process flow diagrams and to place chemical engineering in an historical context Includes problems at the end of each chapter Aimed at readers beginning their studies in chemical engineering this textbook offers an approachable introduction to the principles of analysis and design in chemical engineering to help readers learn to think quantitatively and with a foundation of chemical engineering concepts.

GBP 59.99
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Probability Statistics and Data A Fresh Approach Using R

Probability Statistics and Data A Fresh Approach Using R

This book is a fresh approach to a calculus based first course in probability and statistics using R throughout to give a central role to data and simulation. The book introduces probability with Monte Carlo simulation as an essential tool. Simulation makes challenging probability questions quickly accessible and easily understandable. Mathematical approaches are included using calculus when appropriate but are always connected to experimental computations. Using R and simulation gives a nuanced understanding of statistical inference. The impact of departure from assumptions in statistical tests is emphasized quantified using simulations and demonstrated with real data. The book compares parametric and non-parametric methods through simulation allowing for a thorough investigation of testing error and power. The text builds R skills from the outset allowing modern methods of resampling and cross validation to be introduced along with traditional statistical techniques. Fifty-two data sets are included in the complementary R package fosdata. Most of these data sets are from recently published papers so that you are working with current real data which is often large and messy. Two central chapters use powerful tidyverse tools (dplyr ggplot2 tidyr stringr) to wrangle data and produce meaningful visualizations. Preliminary versions of the book have been used for five semesters at Saint Louis University and the majority of the more than 400 exercises have been classroom tested. | Probability Statistics and Data A Fresh Approach Using R

GBP 82.99
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A First Course in Functional Analysis

A First Course in Functional Analysis

Written as a textbook A First Course in Functional Analysis is an introduction to basic functional analysis and operator theory with an emphasis on Hilbert space methods. The aim of this book is to introduce the basic notions of functional analysis and operator theory without requiring the student to have taken a course in measure theory as a prerequisite. It is written and structured the way a course would be designed with an emphasis on clarity and logical development alongside real applications in analysis. The background required for a student taking this course is minimal; basic linear algebra calculus up to Riemann integration and some acquaintance with topological and metric spaces.

GBP 46.99
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Computational Linear Algebra with Applications and MATLAB Computations

Computational Linear Algebra with Applications and MATLAB Computations

Courses on linear algebra and numerical analysis need each other. Often NA courses have some linear algebra topics and LA courses mention some topics from numerical analysis/scientific computing. This text merges these two areas into one introductory undergraduate course. It assumes students have had multivariable calculus. A second goal of this text is to demonstrate the intimate relationship of linear algebra to applications/computations. A rigorous presentation has been maintained. A third reason for writing this text is to present in the first half of the course the very important topic on singular value decomposition SVD. This is done by first restricting consideration to real matrices and vector spaces. The general inner product vector spaces are considered starting in the middle of the text. The text has a number of applications. These are to motivate the student to study the linear algebra topics. Also the text has a number of computations. MATLAB® is used but one could modify these codes to other programming languages. These are either to simplify some linear algebra computation or to model a particular application. | Computational Linear Algebra with Applications and MATLAB® Computations

GBP 44.99
1

Introduction to Mathematical Modeling

Introduction to Mathematical Modeling

Introduction to Mathematical Modeling helps students master the processes used by scientists and engineers to model real-world problems including the challenges posed by space exploration climate change energy sustainability chaotic dynamical systems and random processes. Primarily intended for students with a working knowledge of calculus but minimal training in computer programming in a first course on modeling the more advanced topics in the book are also useful for advanced undergraduate and graduate students seeking to get to grips with the analytical numerical and visual aspects of mathematical modeling as well as the approximations and abstractions needed for the creation of a viable model.

GBP 84.99
1

Understanding Molecules Lectures on Chemistry for Physicists and Engineers

Understanding Molecules Lectures on Chemistry for Physicists and Engineers

Chemistry is a subject that many students with differing goals have to tackle. This unique general chemistry textbook is tailored to more mathematically-oriented engineering or physics students. The authors emphasize the principles underlying chemistry rather than chemistry itself and the almost encyclopedic completeness appearing in a common textbook of general chemistry is sacrificed for an emphasis to these principles. Contained within 300 pages it is suitable for a one-semester course for students who have a strong background in calculus. Over 200 problems with answers are provided so that the students can check their progress. | Understanding Molecules Lectures on Chemistry for Physicists and Engineers

GBP 44.99
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Managerial Economics

Managerial Economics

Now in its sixth edition Ivan Png's Managerial Economics has been extensively revised with an introductory chapter emphasizing decision-making and behavioral biases intensive application to current business and economic issues including technology globalization and pandemics a closing chapter highlighting business responses to climate change a streamlined presentation focusing on the economics that managers need to know. As always the text presents the key concepts of microeconomics intuitively without sophisticated mathematics. Throughout it emphasizes actual management applications. The new sixth edition is updated with fresh up-to-date vignettes and discussion questions from all over the world and enhanced with detailed instructor supplements. It is an ideal text for any course focusing on the practical application of microeconomic principles to management. The book provides truly useful economics for managers. In the words of one professor I can use your book for serious conversation with adult students.

GBP 64.99
1

Computer Algebra Concepts and Techniques

Computer Algebra Concepts and Techniques

The goal of Computer Algebra: Concepts and Techniques is to demystify computer algebra systems for a wide audience including students faculty and professionals in scientific fields such as computer science mathematics engineering and physics. Unlike previous books the only prerequisites are knowledge of first year calculus and a little programming experience — a background that can be assumed of the intended audience. The book is written in a lean and lively style with numerous examples to illustrate the issues and techniques discussed. It presents the principal algorithms and data structures while also discussing the inherent and practical limitations of these systems | Computer Algebra Concepts and Techniques

GBP 44.99
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Fundamentals of Causal Inference With R

Fundamentals of Causal Inference With R

Overall this textbook is a perfect guide for interested researchers and students who wish to understand the rationale and methods of causal inference. Each chapter provides an R implementation of the introduced causal concepts and models and concludes with appropriate exercises. An-Shun Tai & Sheng-Hsuan Lin in BiometricsOne of the primary motivations for clinical trials and observational studies of humans is to infer cause and effect. Disentangling causation from confounding is of utmost importance. Fundamentals of Causal Inference explains and relates different methods of confounding adjustment in terms of potential outcomes and graphical models including standardization difference-in-differences estimation the front-door method instrumental variables estimation and propensity score methods. It also covers effect-measure modification precision variables mediation analyses and time-dependent confounding. Several real data examples simulation studies and analyses using R motivate the methods throughout. The book assumes familiarity with basic statistics and probability regression and R and is suitable for seniors or graduate students in statistics biostatistics and data science as well as PhD students in a wide variety of other disciplines including epidemiology pharmacy the health sciences education and the social economic and behavioral sciences. Beginning with a brief history and a review of essential elements of probability and statistics a unique feature of the book is its focus on real and simulated datasets with all binary variables to reduce complex methods down to their fundamentals. Calculus is not required but a willingness to tackle mathematical notation difficult concepts and intricate logical arguments is essential. While many real data examples are included the book also features the Double What-If Study based on simulated data with known causal mechanisms in the belief that the methods are best understood in circumstances where they are known to either succeed or fail. Datasets R code and solutions to odd-numbered exercises are available on the book's website at www. routledge. com/9780367705053. Instructors can also find slides based on the book and a full solutions manual under 'Instructor Resources'. | Fundamentals of Causal Inference With R

GBP 56.99
1

Quantitative Analysis An Introduction

Quantitative Analysis An Introduction

Written in a lecture format with solved problems at the end of each chapter this book surveys quantitative modeling and decision analysis techniques. It serves to familiarize the reader with quantitative techniques utilized in planning and optimizing complex systems as well as students experiencing the subject for the first time. It can be used by students of business and public administration without a background in calculus as well as engineers with significant scientific training. It allows the reader to comprehend the material through examples and problems and also demonstrates the value and shortcomings of many methods. Quantitative Analysis: An introduction developed out of the author's experience teaching the material to students at the University of California Los Angeles California State University Northridge and the University of Southern California Los Angeles. | Quantitative Analysis An Introduction

GBP 44.99
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