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Moreover, it introduces the results for sparse signal recovery under the matrix property called range space property (RSP), which is a deep and mild condition for the sparse signal to be recovered by convex optimization methods. This framework is extended to 1-bit compressed sensing, leading to a novel sign recovery theory in this area. Two efficient sparsity-seeking algorithms, namely reweighted l1-minimization in primal space and the algorithm based on complementary slackness property, are presented. The theoretical efficiency of these algorithms is rigorously analyzed within the book.\u003cbr\u003e\u003cbr\u003eUnder the RSP assumption, the author also presents a novel and unified stability analysis for several popular optimization methods for sparse signal recovery, including l1-mininization, Dantzig selector, and LASSO. This book incorporates a wealth of practical examples and case studies to illustrate the theoretical concepts and algorithms discussed. 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It uses engaging figures to illustrate real data sets from published research and can be used in a first-semester course or a service course for undergraduate students who plan to enter a health sciences program. The book emphasizes the kinds of variables and their relationships and organizes statistical procedures in a decision tree. An online data repository offers data sets, graphs, and graphing code, and electronic flashcards are available for iOS and Android devices. \u003c\/blockquote\u003e\u003cp\u003e                                                            \u003cstrong\u003eFormat\u003c\/strong\u003e: Paperback \/ softback\u003cbr\u003e                              \u003cstrong\u003eLength\u003c\/strong\u003e: 603 pages\u003cbr\u003e                              \u003cstrong\u003ePublication date\u003c\/strong\u003e: 31 March 2021\u003cbr\u003e                              \u003cstrong\u003ePublisher\u003c\/strong\u003e: Taylor \u0026amp; Francis Ltd\u003cbr\u003e                          \u003c\/p\u003e \u003cp\u003e\u003cbr\u003eIntroductory Statistics for the Health Sciences is a comprehensive guide that takes students on a fascinating journey into the realm of science, where they explore the unknown and acquire a robust and practical foundation in statistics. Throughout the book, a vibrant color format adds visual appeal, showcasing engaging figures that depict real data sets derived from published research. The examples provided are diverse, spanning various fields within the health sciences, including medicine, nursing, pharmacy, dentistry, and physical therapy. However, the content is accessible and relevant to students from any discipline. This book serves as an ideal resource for a first-semester course in a health sciences program or as a service course for undergraduate students who aspire to pursue a career in the health sciences.\u003cbr\u003e\u003cbr\u003eThe book begins by providing a comprehensive overview of the research context in the health sciences, which serves as a foundation for understanding the importance and applications of statistics. It emphasizes the types of variables and their relationships, providing a rich context for descriptive statistics, graphs, probability, inferential statistics, and interval estimation. The final chapter organizes statistical procedures into a decision tree, guiding students through the process of assessing research scenarios.\u003cbr\u003e\u003cbr\u003eIn addition to the core content, the authors have collaborated with William Howard Beasley, the illustrator of the book, to offer an online data repository via GitHub. This repository contains all the data sets, graphs, and graphing code used in the book, making it an invaluable resource for students. Furthermore, a dedicated website provides detailed information about the data sets and offers electronic flashcards for iOS and Android devices. 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It encourages curiosity and guides exploration, experimentation, and the meaningful evaluation of results. \u003c\/blockquote\u003e\u003cp\u003e                                                            \u003cstrong\u003eFormat\u003c\/strong\u003e: Paperback \/ softback\u003cbr\u003e                              \u003cstrong\u003eLength\u003c\/strong\u003e: 277 pages\u003cbr\u003e                              \u003cstrong\u003ePublication date\u003c\/strong\u003e: 10 December 2020\u003cbr\u003e                              \u003cstrong\u003ePublisher\u003c\/strong\u003e: Kendall\/Hunt Publishing Co ,U.S.\u003cbr\u003e                          \u003c\/p\u003e \u003cp\u003e\u003cbr\u003eThe field of computer sciences is vast, intricate, and constantly evolving, profoundly impacting nearly every aspect of our modern lives. As computer scientists, we must embrace a lifelong learning mindset to stay abreast of the ever-changing landscape.\u003cbr\u003e\u003cbr\u003eProblem Solving with Python, a comprehensive textbook, takes an explicit problem-solving approach to the introduction of computer programming and computational thinking. It emphasizes the programmer's crucial role in defining problems, expressing solutions, evaluating and implementing them, and assessing the outcomes.\u003cbr\u003e\u003cbr\u003eDesigned to provide a solid foundation for further study in computer science, Problem Solving with Python encourages curiosity and guides exploration, experimentation, and the meaningful evaluation of results. It employs turtle graphics and engaging computation problems in the Python 3 programming language to introduce fundamental imperative programming constructs and patterns.\u003cbr\u003e\u003cbr\u003eThe book includes chapters on input-processing-output programs, conditional and iterative structures, functions, recursion, file processing, lists and strings, and introduces secure programming concepts. It presents programming constructs as tools for solving various classes of problems, using real-world problems as motivation for mastering these tools.\u003cbr\u003e\u003cbr\u003eIn addition, the book includes problem sections that are suitable for laboratory exercises, starting points for classroom discussions, or to help readers develop the habits of mind necessary for success as computer programmers.\u003cbr\u003e\u003cbr\u003eBy embracing a lifelong learning mindset and delving into the realm of Problem Solving with Python, we can unlock the full potential of computer science and make meaningful contributions to the digital world.\u003c\/p\u003e\u003cp\u003e                                                                                    \u003cbr\u003e\u003cstrong\u003eISBN-13\u003c\/strong\u003e: 9781792416088                            \u003cbr\u003e \u003cstrong\u003eEdition number\u003c\/strong\u003e: Second Edition                          \u003c\/p\u003e","brand":"Margaret Burke","offers":[{"title":"Paperback \/ softback","offer_id":43732567163130,"sku":"9781792416088","price":195.03,"currency_code":"GBP","in_stock":false}]},{"product_id":"differential-equations-a-problem-solving-approach-based-on-matlab","title":"Differential Equations: A Problem Solving Approach Based on MATLAB","description":"\u003cp\u003e\u003c\/p\u003e\u003cblockquote\u003eThe book provides a problem-solving approach to differential equations, with a complete narrative of theoretical aspects, steps to solutions, multiple ways of obtaining solutions, and comprehensive examples. It also includes verification of results using Runge-Kutta and phase plots. Exercises are provided to explore various aspects of differential equations. \u003c\/blockquote\u003e\u003cp\u003e                                                            \u003cstrong\u003eFormat\u003c\/strong\u003e: Paperback \/ softback\u003cbr\u003e                              \u003cstrong\u003eLength\u003c\/strong\u003e: 448 pages\u003cbr\u003e                              \u003cstrong\u003ePublication date\u003c\/strong\u003e: 31 March 2021\u003cbr\u003e                              \u003cstrong\u003ePublisher\u003c\/strong\u003e: Taylor \u0026amp; Francis Ltd\u003cbr\u003e                          \u003c\/p\u003e \u003cp\u003eThe book adopts a problem-solving approach to presenting the topic of differential equations. It offers a comprehensive narrative that encompasses the theoretical aspects of the problem, various steps involved in arriving at solutions, multiple approaches for obtaining solutions, and a comparison of these solutions. Numerous comprehensive examples are provided to demonstrate the depth and breadth of the subject matter. These examples are presented in a manner similar to the instructor's classroom work, featuring solutions derived from Laplace transform-based approaches, as well as solutions based on eigenvalues and eigenvectors, and characteristic equations. Furthermore, the verification of the results in these examples is accomplished using Runge-Kutta, providing a holistic means to interpret and understand the solutions. Phase plots are also provided to support the analytical findings whenever necessary. All examples are solved using MATLAB®, leveraging the Symbolic Toolbox and LaTex for displaying equations. By presenting the subject matter through these descriptive examples, students will find it easier to grasp the concepts. Each chapter includes a substantial number of exercises designed to allow instructors and students to explore various aspects of differential equations.\u003c\/p\u003e\u003cp\u003e                            \u003cstrong\u003eWeight\u003c\/strong\u003e: 848g                            \u003cbr\u003e\u003cstrong\u003eDimension\u003c\/strong\u003e: 234 x 156 (mm)                            \u003cbr\u003e\u003cstrong\u003eISBN-13\u003c\/strong\u003e: 9780367781378                                                      \u003c\/p\u003e","brand":"P. 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It is useful for students, researchers, and established researchers seeking knowledge in applied econometrics. \u003c\/blockquote\u003e\u003cp\u003e                                                            \u003cstrong\u003eFormat\u003c\/strong\u003e: Paperback \/ softback\u003cbr\u003e                              \u003cstrong\u003eLength\u003c\/strong\u003e: 426 pages\u003cbr\u003e                              \u003cstrong\u003ePublication date\u003c\/strong\u003e: 31 March 2021\u003cbr\u003e                              \u003cstrong\u003ePublisher\u003c\/strong\u003e: Taylor \u0026amp; Francis Ltd\u003cbr\u003e                          \u003c\/p\u003e \u003cp\u003e\u003cbr\u003eThis comprehensive book offers a timely and advanced collection of chapters on applied financial econometric techniques, covering a wide range of fields in commodities finance, mathematics and stochastics, international macroeconomics, and financial econometrics. It serves as a valuable resource for scholars and practitioners seeking to stay updated on the latest developments in these areas.\u003cbr\u003e\u003cbr\u003eInternational Financial Markets: Volume I provides a comprehensive overview of the current state of knowledge, ongoing debates, and recent literature on international financial markets. In the context of the financialization of commodities since the 2008 sub-prime crisis, Section One explores recent contributions on commodity and financial markets, pushing the boundaries of applied econometrics techniques. The second section delves into exchange rate and current account dynamics in a world characterized by significant global imbalances. Part Three examines the latest research in the field of meta-analysis in economics and finance.\u003cbr\u003e\u003cbr\u003eThis book is designed to be of immense value to students and researchers in applied econometrics, as well as academics and students seeking convenient access to unfamiliar topics. It will also be of great interest to established researchers seeking a single repository that encompasses the current state of knowledge, ongoing debates, and relevant literature in these fields.\u003cbr\u003e\u003cbr\u003eThe book is organized into three main sections:\u003cbr\u003e\u003cbr\u003eSection One: Commodity and Financial Markets\u003cbr\u003eThis section explores the latest research on commodity and financial markets, taking into account the impact of financialization on these markets. Contributions cover a wide range of topics, including commodity price dynamics, risk management, and hedging strategies. The section also discusses the application of advanced econometric techniques, such as vector autoregressive models and Bayesian inference, to analyze financial market data.\u003cbr\u003e\u003cbr\u003eSection Two: Exchange Rate and Current Account Dynamics\u003cbr\u003eIn this section, the authors examine the dynamics of exchange rates and current accounts in an environment characterized by large global imbalances. The focus is on understanding the factors that influence exchange rates, such as monetary policy, trade policies, and global economic conditions. The section also explores the role of exchange rates in shaping international trade and investment patterns.\u003cbr\u003e\u003cbr\u003eSection Three: Meta-Analysis in Economics and Finance\u003cbr\u003eThis section explores the latest research in the field of meta-analysis, which is a powerful tool for combining and analyzing data from multiple studies. 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Additionally,the book delves into Galois rings,Menon Hadamard differences sets,Paley difference sets,Paley type partial difference sets,symmetric Hadamard matrices,skew Hadamard matrices,and amicable Hadamard matrices. Furthermore,it explores the asymptotic existence of Hadamard matrices,maximal determinant matrices,embeddability of Hadamard matrices,and the growth problem for Hadamard matrices.  This book is an invaluable resource for graduate courses in combinatorics,as well as for researchers studying Hadamard matrices. Its comprehensive coverage and detailed explanations make it an essential tool for anyone seeking to gain a deeper understanding of this fascinating subject matter.\u003cbr\u003e\u003c\/p\u003e\u003cp\u003eHadamard Matrices: Constructions using Number Theory and Algebra\u003c\/p\u003e\u003cbr\u003e\u003cp\u003e\u003cbr\u003eHadamard Matrices: Constructions using Number Theory and Algebra provides students with a comprehensive exploration of the fundamental definitions and advanced topics related to Hadamard Matrices. 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These concepts are fundamental to understanding the complexity of mathematical structures and have numerous applications in areas such as algebra, analysis, and topology.\u003cbr\u003e\u003cbr\u003eIn addition to these theoretical developments, this volume also explores the applications of set theory and computability in areas such as algorithmic randomness and dimension, Ramsey sets and Ramsey spaces. Algorithmic randomness is a crucial concept in computer science and mathematics, as it allows for the generation of random numbers and sequences that are useful in various applications, including simulations, encryption, and data analysis. Dimension is a fundamental concept in topology, which studies the properties of spaces that can be embedded in Euclidean space. Ramsey sets and Ramsey spaces are important examples of spaces that exhibit certain structural properties, such as the existence of infinite Ramsey trees, which have applications in graph theory and combinatorics.\u003cbr\u003e\u003cbr\u003eThe annual Southeastern Logic Symposium, supported by the National Science Foundation (NSF), is a prominent forum for discussing these and other topics related to set theory and computability. The symposium brings together researchers from around the world to share their latest findings and exchange ideas. 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It is an essential resource for researchers and students interested in this area of study.\u003c\/p\u003e\u003cp\u003e                            \u003cstrong\u003eWeight\u003c\/strong\u003e: 712g                            \u003cbr\u003e\u003cstrong\u003eDimension\u003c\/strong\u003e: 158 x 235 x 30 (mm)                            \u003cbr\u003e\u003cstrong\u003eISBN-13\u003c\/strong\u003e: 9789813228221                                                      \u003c\/p\u003e","brand":"Shulph Ink","offers":[{"title":"Hardback","offer_id":44106239377658,"sku":"9789813228221","price":107.1,"currency_code":"GBP","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0522\/4297\/2845\/products\/a430a40e112f5d424b16cd84539d448c.jpg?v=1620909104"},{"product_id":"teaching-math-with-examples","title":"Teaching Math With Examples","description":"\u003cp\u003e\u003c\/p\u003e\u003cblockquote\u003e\n\u003cbr\u003eThis book discusses the use of worked examples in teaching, including how to introduce them, what students should do when studying them, and how to help students move from understanding to using them to solve problems. 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Here are just a few:\u003cbr\u003e\u003cbr\u003eHow do we effectively introduce an example?\u003cbr\u003eWhat tasks should students be engaged in when studying a solution?\u003cbr\u003eShould a solution be presented all at once or gradually revealed?\u003cbr\u003eAfter studying an example, what comes next?\u003cbr\u003eDoes it matter if the solution is presented from a fictional student, a real student in the class, or the teacher?\u003cbr\u003eHow can we help students transition from understanding someone else's ideas to applying them independently to solve problems?\u003cbr\u003eHow can we write a solution that is clear and accessible to students?\u003cbr\u003eWhen is the appropriate time to offer a worked example?\u003cbr\u003eWhen is it better to allow students to attempt a problem on their own?\u003cbr\u003eDo worked examples have greater utility for certain mathematical content compared to others?\u003cbr\u003e\u003cbr\u003eTo address these questions, this book provides comprehensive insights and solutions. While research may offer answers in some cases, there are also gaps in the research literature that the book aims to fill through experience, trial-and-error, and the authors' own classroom problem-solving processes.\u003cbr\u003e\u003cbr\u003eIn the world of teaching with examples, there is a wealth of knowledge and strategies to explore, and this book is a valuable resource for educators seeking to enhance their teaching practices. 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It covers experimental designs, ANOVA, and statistical tests for multiple comparisons, and is accessible to anyone with a basic understanding of mathematics. \u003c\/blockquote\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\\n                                                            \u003cstrong\u003eFormat\u003c\/strong\u003e: Hardback\u003cbr\u003e\\n                              \u003cstrong\u003eLength\u003c\/strong\u003e: 480 pages\u003cbr\u003e\\n                              \u003cstrong\u003ePublication date\u003c\/strong\u003e: 08 October 2020\u003cbr\u003e\\n                              \u003cstrong\u003ePublisher\u003c\/strong\u003e: John Wiley and Sons Ltd\u003cbr\u003e\\n                          \u003c\/p\u003e\u003cp\u003e\u003cbr\u003eBiostatistics Decoded is a comprehensive guide that delves into a wide array of statistical techniques primarily utilized in clinical and epidemiological research. It also provides a thorough exploration of study designs for observational research and clinical trials, two crucial aspects for clinical researchers. In this second edition, the book incorporates fresh content covering statistical methodologies and study designs employed in analyzing research. Maintaining the same methodology employed in the first edition, the chapters are structured into two levels of detail. The first level is designed for readers who seek a fundamental understanding of the rationale behind each statistical method, while the second level caters to those interested in delving into the computational aspects.\u003cbr\u003e\u003cbr\u003eKey features of this edition include:\u003cbr\u003e\u003cbr\u003eExtensive Coverage: The book offers comprehensive coverage of the design and analysis of experiments for basic science research. Experimental designs are presented alongside the statistical methods employed, making the content accessible to readers with varying mathematical backgrounds.\u003cbr\u003e\u003cbr\u003eRationale Explained: The rationale behind all forms of ANOVA is explained using simple mathematics, ensuring a clear understanding of the underlying principles.\u003cbr\u003e\u003cbr\u003eComprehensive Presentation: A comprehensive presentation of statistical tests for multiple comparisons is provided, enabling readers to apply these tests effectively in their research.\u003cbr\u003e\u003cbr\u003eStep-by-Step Calculations: Calculations for all statistical methods are illustrated with examples and explained step-by-step, facilitating a deeper grasp of the concepts.\u003cbr\u003e\u003cbr\u003eAccessible to All: This book presents biostatistical concepts and methods in a way that is accessible to anyone, regardless of their prior knowledge of mathematics. The topics selected for this book cater to the needs of clinical professionals as well as readers engaged in basic science research.\u003cbr\u003e\u003cbr\u003eIn summary, Biostatistics Decoded serves as a valuable resource for individuals seeking to understand and apply statistical techniques in clinical and epidemiological research. With its comprehensive coverage, rational explanations, and practical examples, it empowers readers to make informed decisions based on data analysis. 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Gouveia Oliveira","offers":[{"title":"Hardback","offer_id":44106048536826,"sku":"9781119584209","price":86.52,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0522\/4297\/2845\/products\/03d60a0c5afe86c061fb881f0ee7c304.jpg?v=1620914898"},{"product_id":"innovation-and-certainty","title":"Innovation and Certainty","description":"\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cblockquote\u003e\n\u003cbr\u003eMathematics has been displaced by non-Euclidean geometries in the nineteenth century, leading to questions about its status as a repository of necessary truth. This Element provides a sketch of this developmental history. \u003c\/blockquote\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\\n                                                            \u003cstrong\u003eFormat\u003c\/strong\u003e: Paperback \/ softback\u003cbr\u003e\\n                              \u003cstrong\u003eLength\u003c\/strong\u003e: 75 pages\u003cbr\u003e\\n                              \u003cstrong\u003ePublication date\u003c\/strong\u003e: 07 January 2021\u003cbr\u003e\\n                              \u003cstrong\u003ePublisher\u003c\/strong\u003e: Cambridge University Press\u003cbr\u003e\\n                          \u003c\/p\u003e\u003cp\u003e\u003cbr\u003eIn the nineteenth century, a significant shift occurred in the traditional domains of mathematics, as the once-sacred verities of number and figure were displaced by altered settings that discarded them as no longer holding absolute truth. This transformative movement emerged not only in the realm of non-Euclidean geometries, but permeated various branches of mathematics. The question that arises is how mathematics can maintain its esteemed status as a repository of necessary truth in the face of these revisions.\u003cbr\u003e\u003cbr\u003eTo explore this issue, we will delve into the historical development of mathematics, examining how it has evolved and adapted to new perspectives and paradigms. We will examine the contributions of mathematicians such as Euclid, Pythagoras, and Newton, who laid the foundation for classical mathematics and its belief in the inherent truth of mathematical propositions.\u003cbr\u003e\u003cbr\u003eHowever, as the nineteenth century progressed, mathematicians began to challenge the traditional assumptions and methodologies of classical mathematics. They introduced new ideas and theories, such as non-Euclidean geometries, set theory, and abstract algebra, that challenged the fundamental principles of classical mathematics. These innovations led to a reevaluation of what was considered true and necessary in mathematics.\u003cbr\u003e\u003cbr\u003eOne of the key challenges facing mathematics in this period was the development of modern mathematics. Modern mathematics is characterized by its emphasis on abstraction, logical reasoning, and mathematical structures. It seeks to develop a universal language that can be used to describe and analyze mathematical phenomena across different fields.\u003cbr\u003e\u003cbr\u003eDespite the challenges posed by modern mathematics, many mathematicians argue that mathematics can retain its traditional status as a repository of necessary truth. 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It helps readers change their approach to negotiation by learning key techniques from actual cases. Through hard-to-find real-world examples, readers will learn how to effectively and productively negotiate, achieve win-win outcomes, consider underlying interests, generate creative options, consider best alternative to a negotiated agreement, negotiate successfully in the face of power, and achieve success when negotiating cross-culturally. \u003c\/blockquote\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\\n                                                            \u003cstrong\u003eFormat\u003c\/strong\u003e: Hardback\u003cbr\u003e\\n                              \u003cstrong\u003eLength\u003c\/strong\u003e: 320 pages\u003cbr\u003e\\n                              \u003cstrong\u003ePublication date\u003c\/strong\u003e: 08 October 2020\u003cbr\u003e\\n                              \u003cstrong\u003ePublisher\u003c\/strong\u003e: John Wiley \u0026amp; Sons Inc\u003cbr\u003e\\n                          \u003c\/p\u003e\u003cp\u003e\u003cbr\u003eThis unique book offers invaluable insights and strategies for effective negotiation, drawing from the expertise of one of the most respected authorities in the field. 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This practical approach helps readers grasp the true potential of negotiation and apply it to deal with challenging problems, secure the best deals, and achieve their objectives.\u003cbr\u003e\u003cbr\u003eFurthermore, the book offers valuable insights and lessons for instructors and students of negotiation, particularly in the context of law schools, business schools, and conflict resolution. It provides carefully examined real-world negotiation situations that serve as valuable case studies, enabling students to learn from successful negotiators and apply their knowledge in real-world contexts.\u003cbr\u003e\u003cbr\u003eThe cases in the book are organized by realms, including domestic business cases and international business cases. Each case is presented in a concise and engaging manner, highlighting key negotiation strategies, tactics, and challenges. 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From a fertility-tracking bracelet revolutionizing the journey of couples seeking pregnancy to an entrepreneur reimagining the treatment of diabetes, to Medidata's own efforts in bringing clinical trials into the 21st century, de Vries showcases the breakthroughs, approaches, and practical business techniques that enable companies to stay ahead of the curve and deliver solutions faster, cheaper, and more successfully.\u003cbr\u003e\u003cbr\u003eAt the same time, de Vries emphasizes the importance of upholding the principles of traditional therapeutic medicine and reflecting the current environment. He highlights how new approaches to cancer and rare diseases are paving the way toward precision medicine, where personalized treatments are tailored to individual patients' genetic makeup and disease characteristics. Data and digital technologies play a pivotal role in enabling the building of robust and effective disease management systems. 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