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Algebra | Partial Fractions | The Binomial Theorem | Exponential Theorem | The Logarithmic Series Theory Of Equations | Theory Of Equations | Reciprocal Equations | Newton-Rahson Method Matrices | Fundamental Concepts | Rank Of A Matrix | Linear Equations | Characteristic Roots And Vectors Finite Differences | Finite Differences | Interpolations: Newton'S Forward, Backward Interpolation | Lagrange'S Interpolation Trigonometry | Expansions | Hyperbolic Functions Differential Calculus | Successive Derivatives | Jacobians | Polar Curves Etc..
Don't let your fear of math hold you back from a rewarding career in nursing or allied health! Basic Math for Nursing and Allied Health uses an easy-to-understand building-block approach designed to teach you how to correlate basic math concepts with everyday activities and eventually master the more complex calculations and formulas used by nursing and allied health professionals. This unique text walks you through essential math topics from Arabic and Roman numerals, addition, subtraction, multiplication, division, fractions, decimals, percentage, ratios and proportions, to conversion factors between household and metric measurements. Case studies used throughout the book not only demonstrate the mathematical concepts related to everyday activities and events, but also show you how to effectively use case studies to master the art of interpreting story problems. Basic Math for Nursing and Allied Health is written by an author team with extensive experience in many different healthcare fields including: pharmacy technology, medical assisting, nursing, emergency medical technology, anesthesia technology, patient care technology, and laboratory technology, as well as allied health instruction and education. Powerful learning aids help you understand and retain key concepts: "Recipes for Success" case study scenarios show how mathematical concepts and formulas can be applied to real-life situations "Manual Math" tips and reminder boxes reinforce your confidence and knowledge Key Terms provides definitions of must-know words and phrases Chapter Openers and Chapter Summaries pinpoint must-know takeaways of each chapter Practice equations after each concept sharpen your math skills End-of-Chapter practice tests help you decide whether you should progress to the next chapter Comprehensive review and final exam pinpoint your strengths and weaknesses
For B.Sc.Physics, Chemistry, Botany, Zoology, Geology, Computer Science and major courses of Madras Universities
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This book explores the rich history of community college math with a specific focus on gatekeeper math classes. Gatekeeper math classes include courses such as college algebra, introduction to statistics, and all developmental math classes. For community colleges, successful completion of these classes is imperative for student retention. This book presents a decade-by-decade analysis of the history of community college mathematics. The author employs a mix of conceptual, empirical, and quantitative research. The empirical research stems from interviews with 30 community college faculty members from seven community colleges. From the 1970s to the pandemic in the early 2020s, the book explores math curricula as well as trends, initiatives, teaching practices, and mandates that have impacted community college math. The positives and negatives of such trends, initiatives, and mandates are presented along with suggestions on how to apply such knowledge going forward. The author addresses the key questions: How can we build a future model for community college gatekeeper math classes that is both successful and sustainable? Additionally, how can we learn from the past and the present to build such a model? This book will be ideal for students in graduate programs focusing on community college leadership or developmental education leadership as well as all those hoping to improve success rates in community college mathematics programs.
From the winner of the Turing Award and the Abel Prize, an introduction to computational complexity theory, its connections and interactions with mathematics, and its central role in the natural and social sciences, technology, and philosophy Mathematics and Computation provides a broad, conceptual overview of computational complexity theory—the mathematical study of efficient computation. With important practical applications to computer science and industry, computational complexity theory has evolved into a highly interdisciplinary field, with strong links to most mathematical areas and to a growing number of scientific endeavors. Avi Wigderson takes a sweeping survey of complexity theory, emphasizing the field’s insights and challenges. He explains the ideas and motivations leading to key models, notions, and results. In particular, he looks at algorithms and complexity, computations and proofs, randomness and interaction, quantum and arithmetic computation, and cryptography and learning, all as parts of a cohesive whole with numerous cross-influences. Wigderson illustrates the immense breadth of the field, its beauty and richness, and its diverse and growing interactions with other areas of mathematics. He ends with a comprehensive look at the theory of computation, its methodology and aspirations, and the unique and fundamental ways in which it has shaped and will further shape science, technology, and society. For further reading, an extensive bibliography is provided for all topics covered. Mathematics and Computation is useful for undergraduate and graduate students in mathematics, computer science, and related fields, as well as researchers and teachers in these fields. Many parts require little background, and serve as an invitation to newcomers seeking an introduction to the theory of computation. Comprehensive coverage of computational complexity theory, and beyond High-level, intuitive exposition, which brings conceptual clarity to this central and dynamic scientific discipline Historical accounts of the evolution and motivations of central concepts and models A broad view of the theory of computation's influence on science, technology, and society Extensive bibliography