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Precalculus with Limits: A Graphing Approach (Math Detective Pilot Test)
by Ron Larson David C. FalvoNIMAC-sourced textbook
Precalculus with Limits
by Ron Larson David C. FalvoWith the same design and feature sets as the market leadingPrecalculus,7/e, this new addition to the Larson/Hostetler Precalculus series provides both students and instructors with sound, consistently structured explanations of the mathematical concepts. Designed for a two-term course, this text contains the features that have madePrecalculusa complete solution for both students and instructors: interesting applications, cutting-edge design, and innovative technology combined with an abundance of carefully written exercises. In addition to a brief algebra review and the core precalculus topics,Precalculus with Limitscovers analytic geometry in three dimensions and introduces concepts covered in calculus. Side-by-side Example Solutionsfor select examples include multiple problem solving approaches-such as algebraic, graphical, and numerical-to appeal to a variety of teaching and learning styles. Checkpointsafter each Example/Solution refer students to similar drills in the Section Exercises, allowing students to practice and reinforce the concepts they just learned. Answers to Checkpoints are included at the back of the book. New!Vocabulary Checksopen every set of Section Exercises. This review of mathematical terms, formulas, and theorems provides regular assessment and reinforcement of students' understanding of algebraic language and concepts. Exercise Setshave been carefully analyzed and revised to improve the categorization of problems frombasic skill-buildingtochallenging;improve the pairing of similar odd- and even-numbered exercises; update all real data; and add real-life and real-data applications. New!Make a Decisionapplications-presented throughout the text at the end of selected exercise sets-are based on large sets of real data. These extended modeling applications give students the opportunity to use all the mathematical concepts and techniques they've learned and apply them to large sets of real date-analyzing it, graphing it, and making conjectures about its behavior. These applications are featured in Eduspace and the Online Learning Center in an interactive format. Eduspace, powered by Blackboard,Houghton Mifflin's online learning environment, brings your students quality online homework, tutorials, multimedia, and testing that correspond to thePrecalculus with Limitstext. This content is paired with the recognized course management tools of Blackboard.
Precalculus with Limits: A Graphing Approach
by Ron Larson David C. FalvoAs part of the market-leadingGraphing ApproachSeries by Larson, Hostetler, and Edwards,Precalculus with Limits: A Graphing Approach,4/e, provides both students and instructors with a sound mathematics course in an approachable, understandable format. The quality and quantity of the exercises, combined with interesting applications, cutting-edge design, and innovative resources, make teaching easier and help students succeed in mathematics. This edition, intended for precalculus courses that require the use of a graphing calculator, includes a moderate review of algebra to help students entering the course with weak algebra skills. Accessibility to students is achieved through careful writing and design, including same-page examples and solutions, which maximize the readability of the text. Similarly, side-by-side solutions show algebraic, visual, and numeric representations of the mathematics to support students' various learning styles. TheLibrary of Functionsthread throughout the text provides a definition and list of characteristics for each elementary function and compares newly introduced functions to those already presented to increase students' understanding of these important concepts. Technology Supportnotes provided at point-of-use throughout the text guide students to theTechnology Support Appendix,where they can learn how to use specific graphing calculator features to enhance their understanding of the concepts presented. Houghton Mifflin'sEduspaceonline classroom management tool offers instructors the option to assign homework and tests online, provides tutorial support for students needing additional help, and includes the ability to grade any of these assignments automatically.
Precalculus with Limits: A Graphing Approach
by Ron Larson Robert Hostetler Bruce H. Edwards David C. FalvoAs part of the market-leadingGraphing ApproachSeries by Larson, Hostetler, and Edwards,Precalculus with Limits: A Graphing Approach,4/e, provides both students and instructors with a sound mathematics course in an approachable, understandable format. The quality and quantity of the exercises, combined with interesting applications, cutting-edge design, and innovative resources, make teaching easier and help students succeed in mathematics. This edition, intended for precalculus courses that require the use of a graphing calculator, includes a moderate review of algebra to help students entering the course with weak algebra skills. Accessibility to students is achieved through careful writing and design, including same-page examples and solutions, which maximize the readability of the text. Similarly, side-by-side solutions show algebraic, visual, and numeric representations of the mathematics to support students' various learning styles. TheLibrary of Functionsthread throughout the text provides a definition and list of characteristics for each elementary function and compares newly introduced functions to those already presented to increase students' understanding of these important concepts. Technology Supportnotes provided at point-of-use throughout the text guide students to theTechnology Support Appendix,where they can learn how to use specific graphing calculator features to enhance their understanding of the concepts presented. Houghton Mifflin'sEduspaceonline classroom management tool offers instructors the option to assign homework and tests online, provides tutorial support for students needing additional help, and includes the ability to grade any of these assignments automatically.
Precalculus with Limits: A Graphing Approach
by Ron Larson Robert Hostetler Bruce H. Edwards David C. FalvoWritten by the author, this manual offers step-by-step solutions for all odd-numbered text exercises as well as Chapter and Cumulative tests. In addition to Chapter and Cumulative tests, the manual also provides practice tests and practice test answers.
Precalculus with Limits
by Ron Larson Robert Hostetler David C. FalvoWith the same design and feature sets as the market leading Precalculus, 7/e, this new addition to the Larson/Hostetler Precalculus series provides users with sound, consistently structured explanations of the mathematical concepts. This book contains the features that have made Precalculus a complete solution for users: interesting applications, cutting-edge design, and innovative technology combined with an abundance of carefully written exercises. In addition to a brief algebra review and the core precalculus topics, PRECALCULUS WITH LIMITS covers analytic geometry in three dimensions and introduces concepts covered in calculus.
Precalculus with Limits (Texas Edition)
by Ron Larson Robert HostetlerThis new precalculus textbook focuses on making the mathematics accessible, supporting student success, and offering teachers flexible teaching options. It thoroughly covers the topics of a traditional precalculus text with the addition of two new chapters. Chapter 11 encompasses analytic geometry in three dimensions and Chapter 12 introduces students to the key calculus topics, including limits, the tangent line problem, and the area problem.
Precalculus with Limits with CalcChat® and CalcView®
by Ron Larson Paul BattagliaNIMAC-sourced textbook
Precalculus With Trigonometry: Concepts and Applications
by Paul A. FoersterIf you shoot an arrow into the air, its height above the ground depends on the number of seconds since you released it. In this chapter you will learn ways to express quantitatively the relationship between to variables such as height and time. You will deepen what you have learned in previous courses about functions and the particular relationships that they describe for example, how height depends on time.
Precalculus With Unit-circle Trigonometry
by David CohenIn this new ADVANTAGE SERIES version of David Cohen's PRECALCULUS: WITH UNIT CIRCLE TRIGONOMETRY, THIRD EDITION, Cohen continues to offer a book that is accessible to the student through a careful progression and presentation of concepts, rich problem sets and examples to help explain and motivate concepts, and continual guidance through the challenging work needed to master concepts and skills. This book is identical to PRECALCULUS: A PROBLEMS-ORIENTED APPROACH, Fifth Edition with the exception of the first four chapters on trigonometry. As part of the ADVANTAGE SERIES, this new version will offer all the quality content you've come to expect from Cohen sold to your students at a significantly lower price.
Precalulus: Graphing And Data Analysis
by Michael SullivanThe goal of this book is to provide a solid mathematical foundation via visualization of real world data. Technology is used as a tool to solve problems, motivate concepts, explore and preview mathematical concepts and to find curves of best fit to the data. Most mathematical concepts are developed and illustrated both algebraically and graphically, with the more intuitive and appropriate method presented first. Also included in this book is a foreshadowing of calculus through the chapter on Limits and Derivatives.
Precast Segmental Box Girders: Experimental and Analytical Approaches (SpringerBriefs in Applied Sciences and Technology)
by Fadzli Mohamed Nazri Mohd Azrulfitri Mohd Yusof Moustafa KassemThis book explores the fundamentals of the elastic behaviour of erected precast segmental box girders (SBG) when subjected to static load, as well as the construction process (casting and erection work) involved. It analyzes and compares the experimental results with those obtained using the finite element method and theoretical calculations. A short-term deflection analysis for different loads is obtained by determining the maximum deflection, stress and strain value of single span precast SBG under a variety of transversal slope. The outcome of this work provides a better understanding of the behaviour of precast SBG in terms of structural responses as well as defects, so that maintenance work can then be focused on the critical section at mid span area specifically for the bridge project longitudinally and transversely. The book is of interest to industry professionals involved in conducting static load tests on bridges, and all researchers, designers, and engineers seeking to validate experimental work with numerical and analytical approaches.
Precious Moments: Countdown to Easter (Precious Moments)
by Precious Moments7, 6, 5—Jesus is alive! Celebrate Easter with this Precious Moments counting book for toddlers and preschoolers. With all the sweet nostalgia and classic illustrations you've loved from Precious Moments since the 1970s, Countdown to Easter is the perfect way to prepare your family for the resurrection day as little ones practice their counting skills, find fun Easter items, and learn about Jesus' greatest gift. Precious Moments: Countdown to Easteris an oversized board book for kids ages 0–4;celebrates the miracles of Easter and the spring season;teaches counting backward from 10 with fun, rhyming text;features vintage-style artwork of children and animals with teardrop eyes; andhighlights the joy Jesus brings.Whether it's an addition to an Easter basket or a gift to kick off the Lent season, this bright and joyful book keeps Jesus at the center. Count your way to the resurrection from 10 sheep to 2 angels and 1 Jesus forever and ever!Since 1978, Precious Moments has grown into a brand recognized worldwide. Its message of God's love shared through books and Bibles published with Thomas Nelson has impacted over 14 million lives.
Predict the Next Bull or Bear Market and Win: How to Use Key Indicators to Profit in Any Market
by Michael SincereThe secrets to making money--no matter what the market conditions!A fundamental guide to investing, Predict the Next Bull or Bear Market and Win shows you how to build your wealth and protect your investments in an ever-changing market. With author and financial expert Michael Sincere's guidance, you'll learn everything you need to know about the key economic indicators that can help you predict the market's performance and better understand when to sell and when to buy.Unlike competing books that attempt a comprehensive survey of all market indicators, Sincere focuses only on those that make a real impact. His clear, concise strategies show you how to prosper during bull markets, be cautious during sideways markets, and make a profit when the market is going down.Predict the Next Bull or Bear Market and Win thoroughly educates you on the small number of indicators that are essential to a growing portfolio in a tumultuous market. By understanding the right economic indicators, you'll learn how to make money in any kind of market!
Predict the Next Bull or Bear Market and Win: How to Use Key Indicators to Profit in Any Market
by Michael SincereThe secrets to making money--no matter what the market conditions!A fundamental guide to investing, Predict the Next Bull or Bear Market and Win shows you how to build your wealth and protect your investments in an ever-changing market. With author and financial expert Michael Sincere's guidance, you'll learn everything you need to know about the key economic indicators that can help you predict the market's performance and better understand when to sell and when to buy.Unlike competing books that attempt a comprehensive survey of all market indicators, Sincere focuses only on those that make a real impact. His clear, concise strategies show you how to prosper during bull markets, be cautious during sideways markets, and make a profit when the market is going down.Predict the Next Bull or Bear Market and Win thoroughly educates you on the small number of indicators that are essential to a growing portfolio in a tumultuous market. By understanding the right economic indicators, you'll learn how to make money in any kind of market!
Predictability of Chaotic Dynamics: A Finite-time Lyapunov Exponents Approach (Springer Series in Synergetics)
by Juan C. Vallejo Miguel A. SanjuanThis book is primarily concerned with the computational aspects of predictability of dynamical systems - in particular those where observations, modeling and computation are strongly interdependent. Unlike with physical systems under control in laboratories, in astronomy it is uncommon to have the possibility of altering the key parameters of the studied objects. Therefore, the numerical simulations offer an essential tool for analysing these systems, and their reliability is of ever-increasing interest and importance. In this interdisciplinary scenario, the underlying physics provide the simulated models, nonlinear dynamics provides their chaoticity and instability properties, and the computer sciences provide the actual numerical implementation. This book introduces and explores precisely this link between the models and their predictability characterization based on concepts derived from the field of nonlinear dynamics, with a focus on the strong sensitivity to initial conditions and the use of Lyapunov exponents to characterize this sensitivity. This method is illustrated using several well-known continuous dynamical systems, such as the Contopoulos, Hénon-Heiles and Rössler systems. This second edition revises and significantly enlarges the material of the first edition by providing new entry points for discussing new predictability issues on a variety of areas such as machine decision-making, partial differential equations or the analysis of attractors and basins. Finally, the parts of the book devoted to the application of these ideas to astronomy have been greatly enlarged, by first presenting some basics aspects of predictability in astronomy and then by expanding these ideas to a detailed analysis of a galactic potential.
Predicting Flow-Induced Acoustics at Near-Stall Conditions in an Automotive Turbocharger Compressor
by Roberto Navarro GarcíaThis thesis offers new insights into the fluid flow behavior of automotive centrifugal compressors operating under near-stall conditions. Firstly it discusses the validation of three-dimensional computational fluid dynamics (CFD) unsteady simulations against acoustic experimental measurements using an original procedure based on plane wave pressure decomposition. It then examines the configuration of the CFD cases, highlighting the key parameters needed for a successful calculation. Moreover, it describes both the compressor mean and unsteady flow field from best-efficiency to near-surge operating points. Lastly, it provides readers with explanations of the various phenomena that arise when the mass flow rate is reduced and the compressor is driven to poor and noisy performance. Written for students, researchers and professionals who want to improve their understanding of the complex fluid flow behavior in centrifugal compressors, the thesis offers valuable practical insights into reducing the acoustic emissions of turbochargers.
Predicting Pandemics in a Globally Connected World, Volume 1: Toward a Multiscale, Multidisciplinary Framework through Modeling and Simulation (Modeling and Simulation in Science, Engineering and Technology)
by Nicola Bellomo Mark A. J. ChaplainThis contributed volume investigates several mathematical techniques for the modeling and simulation of viral pandemics, with a special focus on COVID-19. Modeling a pandemic requires an interdisciplinary approach with other fields such as epidemiology, virology, immunology, and biology in general. Spatial dynamics and interactions are also important features to be considered, and a multiscale framework is needed at the level of individuals and the level of virus particles and the immune system. Chapters in this volume address these items, as well as offer perspectives for the future.
Predicting Pandemics in a Globally Connected World, Volume 2: Toward a Multiscale, Multidisciplinary Framework through Modeling and Simulation (Modeling and Simulation in Science, Engineering and Technology)
by Nicola Bellomo Mark Chaplain Maíra AguiarIn an increasingly globally-connected world, the ability to predict, monitor, and contain pandemics is essential to ensure the health and well-being of all. This contributed volume investigates several mathematical techniques for the modeling and simulation of viral pandemics, with a special focus on COVID-19. Modeling a pandemic requires an interdisciplinary approach with other fields such as epidemiology, virology, immunology, and biology in general. Spatial dynamics and interactions are also important features to be considered, and a multiscale framework is needed at the societal level, the level of individuals, and the level of virus particles and the immune system. Chapters in this volume explore the latest research related to these items to demonstrate the utility of a variety of mathematical methods. Perspectives for the future are also offered
Predicting Stock Returns
by David G McMillanThis book provides a comprehensive analysis of asset price movement. It examines different aspects of stock return predictability, the interaction between stock return and dividend growth predictability, the relationship between stocks and bonds, and the resulting implications for asset price movement. By contributing to our understanding of the factors that cause price movement, this book will be of benefit to researchers, practitioners and policy makers alike.
Predicting the Future
by Henry AbarbanelThrough the development of an exact path integral for use in transferring information from observations to a model of the observed system, the author provides a general framework for the discussion of model building and evaluation across disciplines. Through many illustrative examples drawn from models in neuroscience, geosciences, and nonlinear electrical circuits, the concepts are exemplified in detail. Practical numerical methods for approximate evaluations of the path integral are explored, and their use in designing experiments and determining a model's consistency with observations is explored.
Predictive Analytics
by Thomas H. Davenport Eric Siegel"The Freakonomics of big data."--Stein Kretsinger, founding executive of Advertising.com; former lead analyst at Capital OneThis book is easily understood by all readers. Rather than a "how to" for hands-on techies, the book entices lay-readers and experts alike by covering new case studies and the latest state-of-the-art techniques.You have been predicted -- by companies, governments, law enforcement, hospitals, and universities. Their computers say, "I knew you were going to do that!" These institutions are seizing upon the power to predict whether you're going to click, buy, lie, or die.Why? For good reason: predicting human behavior combats financial risk, fortifies healthcare, conquers spam, toughens crime fighting, and boosts sales.How? Prediction is powered by the world's most potent, booming unnatural resource: data. Accumulated in large part as the by-product of routine tasks, data is the unsalted, flavorless residue deposited en masse as organizations churn away. Surprise! This heap of refuse is a gold mine. Big data embodies an extraordinary wealth of experience from which to learn.Predictive analytics unleashes the power of data. With this technology, the computer literally learns from data how to predict the future behavior of individuals. Perfect prediction is not possible, but putting odds on the future -- lifting a bit of the fog off our hazy view of tomorrow -- means pay dirt.In this rich, entertaining primer, former Columbia University professor and Predictive Analytics World founder Eric Siegel reveals the power and perils of prediction:What type of mortgage risk Chase Bank predicted before the recession.Predicting which people will drop out of school, cancel a subscription, or get divorced before they are even aware of it themselves.Why early retirement decreases life expectancy and vegetarians miss fewer flights.Five reasons why organizations predict death, including one health insurance company.How U.S. Bank, European wireless carrier Telenor, and Obama's 2012 campaign calculated the way to most strongly influence each individual.How IBM's Watson computer used predictive modeling to answer questions and beat the human champs on TV's Jeopardy!How companies ascertain untold, private truths -- how Target figures out you're pregnant and Hewlett-Packard deduces you're about to quit your job.How judges and parole boards rely on crime-predicting computers to decide who stays in prison and who goes free.What's predicted by the BBC, Citibank, ConEd, Facebook, Ford, Google, IBM, the IRS, Match.com, MTV, Netflix, Pandora, PayPal, Pfizer, and Wikipedia. A truly omnipresent science, predictive analytics affects everyone, every day. Although largely unseen, it drives millions of decisions, determining whom to call, mail, investigate, incarcerate, set up on a date, or medicate.Predictive analytics transcends human perception. This book's final chapter answers the riddle: What often happens to you that cannot be witnessed, and that you can't even be sure has happened afterward -- but that can be predicted in advance?Whether you are a consumer of it -- or consumed by it -- get a handle on the power of Predictive Analytics.
Predictive Analytics: Modeling and Optimization (Advanced Research in Reliability and System Assurance Engineering)
by Edited by Vijay Kumar and Mangey RamPredictive analytics refers to making predictions about the future based on different parameters which are historical data, machine learning, and artificial intelligence. This book provides the most recent advances in the field along with case studies and real-world examples. It discusses predictive modeling and analytics in reliability engineering and introduces current achievements and applications of artificial intelligence, data mining, and other techniques in supply chain management. It covers applications to reliability engineering practice, presents numerous examples to illustrate the theoretical results, and considers and analyses case studies and real-word examples. The book is written for researchers and practitioners in the field of system reliability, quality, supply chain management, and logistics management. Students taking courses in these areas will also find this book of interest.
Predictive Analytics
by Eric Siegel"Mesmerizing & fascinating..." --The Seattle Post-Intelligencer "The Freakonomics of big data." --Stein Kretsinger, founding executive of Advertising.com Award-winning | Used by over 30 universities | Translated into 9 languages An introduction for everyone. In this rich, fascinating -- surprisingly accessible -- introduction, leading expert Eric Siegel reveals how predictive analytics works, and how it affects everyone every day. Rather than a "how to" for hands-on techies, the book serves lay readers and experts alike by covering new case studies and the latest state-of-the-art techniques. Prediction is booming. It reinvents industries and runs the world. Companies, governments, law enforcement, hospitals, and universities are seizing upon the power. These institutions predict whether you're going to click, buy, lie, or die. Why? For good reason: predicting human behavior combats risk, boosts sales, fortifies healthcare, streamlines manufacturing, conquers spam, optimizes social networks, toughens crime fighting, and wins elections. How? Prediction is powered by the world's most potent, flourishing unnatural resource: data. Accumulated in large part as the by-product of routine tasks, data is the unsalted, flavorless residue deposited en masse as organizations churn away. Surprise! This heap of refuse is a gold mine. Big data embodies an extraordinary wealth of experience from which to learn. Predictive Analytics unleashes the power of data. With this technology, the computer literally learns from data how to predict the future behavior of individuals. Perfect prediction is not possible, but putting odds on the future drives millions of decisions more effectively, determining whom to call, mail, investigate, incarcerate, set up on a date, or medicate. In this lucid, captivating introduction -- now in its Revised and Updated edition -- former Columbia University professor and Predictive Analytics World founder Eric Siegel reveals the power and perils of prediction: What type of mortgage risk Chase Bank predicted before the recession. Predicting which people will drop out of school, cancel a subscription, or get divorced before they even know it themselves. Why early retirement predicts a shorter life expectancy and vegetarians miss fewer flights. Five reasons why organizations predict death -- including one health insurance company. How U.S. Bank and Obama for America calculated -- and Hillary for America 2016 plans to calculate -- the way to most strongly persuade each individual. Why the NSA wants all your data: machine learning supercomputers to fight terrorism. How IBM's Watson computer used predictive modeling to answer questions and beat the human champs on TV's Jeopardy! How companies ascertain untold, private truths -- how Target figures out you're pregnant and Hewlett-Packard deduces you're about to quit your job. How judges and parole boards rely on crime-predicting computers to decide how long convicts remain in prison. 182 examples from Airbnb, the BBC, Citibank, ConEd, Facebook, Ford, Google, the IRS, LinkedIn, Match.com, MTV, Netflix, PayPal, Pfizer, Spotify, Uber, UPS, Wikipedia, and more. How does predictive analytics work? This jam-packed book satisfies by demystifying the intriguing science under the hood. For future hands-on practitioners pursuing a career in the field, it sets a strong foundation, delivers the prerequisite knowledge, and whets your appetite for more. A truly omnipresent science, predictive analytics constantly affects our daily lives. Whether you
Predictive Analytics: Parametric Models for Regression and Classification Using R (Wiley Series in Probability and Statistics)
by Ajit C. TamhaneProvides a foundation in classical parametric methods of regression and classification essential for pursuing advanced topics in predictive analytics and statistical learning This book covers a broad range of topics in parametric regression and classification including multiple regression, logistic regression (binary and multinomial), discriminant analysis, Bayesian classification, generalized linear models and Cox regression for survival data. The book also gives brief introductions to some modern computer-intensive methods such as classification and regression trees (CART), neural networks and support vector machines. The book is organized so that it can be used by both advanced undergraduate or masters students with applied interests and by doctoral students who also want to learn the underlying theory. This is done by devoting the main body of the text of each chapter with basic statistical methodology illustrated by real data examples. Derivations, proofs and extensions are relegated to the Technical Notes section of each chapter, Exercises are also divided into theoretical and applied. Answers to selected exercises are provided. A solution manual is available to instructors who adopt the text. Data sets of moderate to large sizes are used in examples and exercises. They come from a variety of disciplines including business (finance, marketing and sales), economics, education, engineering and sciences (biological, health, physical and social). All data sets are available at the book’s web site. Open source software R is used for all data analyses. R codes and outputs are provided for most examples. R codes are also available at the book’s web site. Predictive Analytics: Parametric Models for Regression and Classification Using R is ideal for a one-semester upper-level undergraduate and/or beginning level graduate course in regression for students in business, economics, finance, marketing, engineering, and computer science. It is also an excellent resource for practitioners in these fields.