Book picks similar to
Introduction to Analysis by Arthur P. Mattuck


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The Calculus Direct


John Weiss - 2009
    The calculus is not a hard subject and I prove this through an easy to read and obvious approach spanning only 100 pages. I have written this book with the following type of student in mind; the non-traditional student returning to college after a long break, a notoriously weak student in math who just needs to get past calculus to obtain a degree, and the garage tinkerer who wishes to understand a little more about the technical subjects. This book is meant to address the many fundamental thought-blocks that keep the average 'mathaphobe' (or just an interested person who doesn't have the time to enroll in a course) from excelling in mathematics in a clear and concise manner. It is my sincerest hope that this book helps you with your needs.Show more Show less

Thermodynamics and an Introduction to Thermostatistics


Herbert B. Callen - 1985
    Presents essential ideas on critical phenomena developed over the last decade in simple, qualitative terms. This new edition maintains the simple structure of the first and puts new emphasis on pedagogical considerations. Thermostatistics is incorporated into the text without eclipsing macroscopic thermodynamics, and is integrated into the conceptual framework of physical theory.

Introduction to Probability


Dimitri P. Bertsekas - 2002
    This is the currently used textbook for "Probabilistic Systems Analysis," an introductory probability course at the Massachusetts Institute of Technology, attended by a large number of undergraduate and graduate students. The book covers the fundamentals of probability theory (probabilistic models, discrete and continuous random variables, multiple random variables, and limit theorems), which are typically part of a first course on the subject. It also contains, a number of more advanced topics, from which an instructor can choose to match the goals of a particular course. These topics include transforms, sums of random variables, least squares estimation, the bivariate normal distribution, and a fairly detailed introduction to Bernoulli, Poisson, and Markov processes. The book strikes a balance between simplicity in exposition and sophistication in analytical reasoning. Some of the more mathematically rigorous analysis has been just intuitively explained in the text, but is developed in detail (at the level of advanced calculus) in the numerous solved theoretical problems. The book has been widely adopted for classroom use in introductory probability courses within the USA and abroad.

Innumeracy: Mathematical Illiteracy and Its Consequences


John Allen Paulos - 1988
    Dozens of examples in innumeracy show us how it affects not only personal economics and travel plans, but explains mis-chosen mates, inappropriate drug-testing, and the allure of pseudo-science.

Economics for Dummies


Peter Antonioni - 2007
    This easy to understand guide takes you through the world of economics from understanding micro- and macroeconomics to demystifying complex topics such as capitalism and recession.This updated edition walks you through the history, principles and theories of economics as well as breaking down all the complicated terminology, leaving you clued up on economics in no time.Getting to grips - explore the science of economics and how people deal with scarcityKeeping an eye on it - learn all about macroeconomics and how economists keep track of everythingWatch patterns emerge - understand why monitoring consumer behaviour is vital and all you need to know about microeconomicsYour recession guide - expert advice on recessions and a detailed look at why they occurOpen the book and find:Why you should care about economics and how it affects youTools to help you understand a recessionA guide to seductive economic fallaciesAll you need to know on monetary and fiscal policiesHow supply and demand can be made easyWhy it's vital to track consumer choicesAn in-depth look at a profit-maximising firm and the core of capitalismGuidance on property rights and wrongsLearn to:Look through economic history and spot the trendsUnderstand micro- and macroeconomicsGet to grips with consumer behaviour and its influence on the economySpot the signs of a recession and see how economic decisions affect you

TOEFL iBT: The Official ETS Study Guide (McGraw-Hill's TOEFL iBT)


Educational Testing Service - 2005
    Edited by ETS, the people who make the test! Find out all about the new TOEFL Internet-based test; Get over 500 real TOEFL questiond and essay topics

ServSafe Coursebook [with Answer Sheet]


National Restaurant Association - 2001
    It is the ideal solution for the academic setting, multiple-day training, or individuals in need of more extensive food safety training. Food safety has never been more important to the restaurant industry and its customers. Based on the "2013""FDA Food Code, " the "ServSafe Coursebook" focuses on the preventative measures to keep food safe. The content in the "ServSafe Coursebook" goes beyond the principles found in the "ServSafe""Manager Book" and adds greater depth and breadth of food safety practices by featuring expanded sections on food defense, high-risk populations, active managerial control, and crisis management. Food safety topics are presented in a user-friendly, practical way with more real-world case studies and stories to help readers understand the day-to-day importance of food safety. Developed by the industry, for the industry, ServSafe(R) is a proven way to minimize risk and maximize protection for foodservice owners, employees, and customers. Recognized as the industry standard, ServSafe offers a complete suite of printed and online products and is the most important ingredient to food safety training and certification success. The "ServSafe Coursebook" is available packaged with MyServSafeLab(TM). MyServSafeLab is an online homework, tutorial, and assessment program that truly engages students in learning. It helps students better prepare for class, quizzes, and exams-resulting in better performance in the course-and provides educators a dynamic set of tools for gauging individual and class progress. The "ServSafe Coursebook" 6th Edition is available packaged in a number of ways to suit your specific needs. ISBN: 0133883507 is a package containing the book and the answer sheet for the pencil/paper version of the ServSafe Food Protection Manager exam" ServSafe Coursebook with Answer Sheet 6th Edition " Also available: Stand-alone book: "ServSafe Coursebook "6th Edition ISBN: 0133883604A package containing the book, the answer sheet for the pencil/paper version of the ServSafe Food Protection Manager exam, AND MyServSafeLab with Pearson eText Access Card: " ServSafe Coursebook with Answer Sheet, Revised Plus NEW MyServSafeLab with Pearson eText -- Access Card Package, "6/e ISBN: 0133962733A package containing the book and online exam voucher: "ServSafe Coursebook with Online Exam Voucher 6th Edition "ISBN: 0133883515A package containing the book, online exam voucher, AND MyServSafeLab with Pearson eText Access Card: "ServSafe Coursebook with Online Exam Voucher, Revised Plus NEW MyServSafeLab with Pearson eText -- Access Card Package, 6/e "ISBN: 0133962725Students, if interested in purchasing this title with MyServSafeLab, ask your instructor for the correct package ISBN. MyServSafeLab is not a self-paced technology and should only be purchased when required by an instructor. Instructors, contact your Pearson representative for more information.

Introduction to Quantum Mechanics with Applications to Chemistry


Linus Pauling - 1985
    Numerous tables and figures.

Introductory Circuit Analysis


Robert L. Boylestad - 1968
    Features exceptionally clear explanations and descriptions, step-by-step examples, more than 50 practical applications, over 2000 easy-to-challenging practice problems, and comprehensive coverage of essentials. PSpice, OrCAd version 9.2 Lite Edition, Multisims 2001 version of Electronics Workbench, and MathCad software references and examples are used throughout. Computer programs (C++, BASIC and PSpice) are printed in color, as they run, at the point in the book where they are discussed. Current and Voltage. Resistance. Ohm's Law, Power, and Energy. Series Circuits. Parallel Circuits. Series-Parallel Networks. Methods of Analysis & Selected Topics. Network Theorems. Capacitors. Magnetic Circuits. Inductors. Sinusodial Alternating Waveforms. The Basic Elements and Phasors. Series and Parallel ac Circuits. Series-Parallel ac Networks. Methods of Analysis and Related Topics. Network Theorems (ac). Power (ac). Resonance. Transformers. Polyphase Systems. Decibels, Filters, and Bode Points. Pulse Waveforms and the R-C Response. Nonsinusodial Circuits. System Analysis: An Introduction. For those working in electronic technology.

Applied Predictive Modeling


Max Kuhn - 2013
    Non- mathematical readers will appreciate the intuitive explanations of the techniques while an emphasis on problem-solving with real data across a wide variety of applications will aid practitioners who wish to extend their expertise. Readers should have knowledge of basic statistical ideas, such as correlation and linear regression analysis. While the text is biased against complex equations, a mathematical background is needed for advanced topics. Dr. Kuhn is a Director of Non-Clinical Statistics at Pfizer Global R&D in Groton Connecticut. He has been applying predictive models in the pharmaceutical and diagnostic industries for over 15 years and is the author of a number of R packages. Dr. Johnson has more than a decade of statistical consulting and predictive modeling experience in pharmaceutical research and development. He is a co-founder of Arbor Analytics, a firm specializing in predictive modeling and is a former Director of Statistics at Pfizer Global R&D. His scholarly work centers on the application and development of statistical methodology and learning algorithms. Applied Predictive Modeling covers the overall predictive modeling process, beginning with the crucial steps of data preprocessing, data splitting and foundations of model tuning. The text then provides intuitive explanations of numerous common and modern regression and classification techniques, always with an emphasis on illustrating and solving real data problems. Addressing practical concerns extends beyond model fitting to topics such as handling class imbalance, selecting predictors, and pinpointing causes of poor model performance-all of which are problems that occur frequently in practice. The text illustrates all parts of the modeling process through many hands-on, real-life examples. And every chapter contains extensive R code f

For The Sake of Heaviness: The History of Metal Blade Records


Brian Slagel - 2017
    scene. Released in 1982, the Metal Massacre LP included the debut recordings of local groups such as Steeler, Malice, Ratt, and Metallica. In the wake of the album's unexpected success Slagel virtually stumbled into creating a proper record label, issuing the first releases by Bitch, Armored Saint, and Slayer the following year. For The Sake Of Heaviness is an inside look at how Brian built Metal Blade from a one-man operation in his mom's non-air-conditioned garage to the preeminent international home of heavy music that it is today. He shares his insights into signing and working with Amon Amarth, Anvil, As I Lay Dying, Behemoth, The Black Dahlia Murder, Cannibal Corpse, Cirith Ungol, Corrosion of Conformity, D.R.I., Fates Warning, Flotsam and Jetsam, Gwar, King Diamond, King's X, Lizzy Borden, Manowar, Mercyful Fate, Overkill, Raven, Sacred Reich, Six Feet Under, Trouble, Unearth, Voivod, Whitechapel, and others. Always hard at work on a diverse range of projects, Brian reveals the early advice he gave that helped guide Mötley Crüe's career; how he helped Metallica replace their bassist-twice; his detailed work on Thin Lizzy and Alice Cooper reissues; his behind-the-scenes role in the careers of Mother Love Bone, Alice in Chains, Faith No More, Goo Goo Dolls, and Lamb of God; and his unlikely ventures with kindred metal heads-from hockey star Ken Baumgartner, to celebrity chef Chris Santos, to The Howard Stern Show's Richard Christy, to comedians Jim Florentine, Don Jamieson and Jim Breuer. Throughout For The Sake Of Heaviness, Brian steps aside to present first-person insights and extended guest interviews featuring friends, colleagues, Metal Blade staffers, and a long list of artists, including Metallica's James Hetfield, Slayer's Kerry King, King Diamond, and many more. Brian highlights the ins and outs of his 35 year metal odyssey, from promoting small shows in California's San Fernando Valley in the early days, to forging a major partnership with Warner Bros. Records; from weathering the Parents Music Resource Center's attempts to regulate lyrical content, to squaring off with Time Warner over Gwar's envelope-pushing themes; from nearly going bankrupt after underestimating the impact of the rise of CDs, to surviving and thriving in today's rapidly changing music business environment. Featuring a Foreword by Metallica's Lars Ulrich, For The Sake Of Heaviness pulls back the curtain to reveal the definitive look at how Metal Blade began, what they've accomplished, and where they're going. With the help of co-writer Mark Eglinton, Brian Slagel invites the reader into a personal conversation about his life's passion, and the passion that drives Metal Blade-finding, exposing, and promoting the best heavy music on the planet.

Elements of Partial Differential Equations


Ian N. Sneddon - 2006
    It emphasizes forms suitable for students and researchers whose interest lies in solving equations rather than in general theory. Solutions to odd-numbered problems appear at the end. 1957 edition.

Mental Math: Tricks To Become A Human Calculator


Abhishek V.R. - 2017
    Just read this till the end You don’t have to buy this book. Just read this till end & you will learn something that will change the way you do math forever. Warning: I am revealing this secret only to the first set of readers who will buy this book & plan to put this secret back inside the book once I have enough sales. So read this until the very end while you still can.School taught you the wrong way to do mathThe way you were taught to do math, uses a lot of working memory. Working memory is the short term memory used to complete a mental task. You struggle because trying to do mental math the way you were taught in school, overloads your working memory. Let me show you what I mean with an example:Try to multiply the 73201 x 3. To do this you multiply the following:1 x 3 =0 x 3 =2 x 3 =3 x 3 =7 x 3 =This wasn’t hard, & it might have taken you just seconds to multiply the individual numbers. However, to get the final answer, you need to remember every single digit you calculated to put them back together. It takes effort to get the answer because you spend time trying to recall the numbers you already calculated. Math would be easier to do in your head if you didn’t have to remember so many numbers. Imagine when you tried to multiply 73201 x 3, if you could have come up with the answer, in the time it took you to multiply the individual numbers. Wouldn’t you have solved the problem faster than the time it would have taken you to punch in the numbers inside a calculator? Do the opposite of what you were taught in schoolThe secret of doing mental math is to calculate from left to right instead of from right to left. This is the opposite of what you were taught in school. This works so well because it frees your working memory almost completely. It is called the LR Method where LR stands for Left to Right.Lets try to do the earlier example where we multiplied 73201 x 3. This time multiply from left to right, so we get:7 x 3 = 213 x 3 = 93 x 2 = 60 x 3 = 03 x 1 = 3Notice that you started to call out the answer before you even finished the whole multiplication problem. You don’t have to remember a thing to recall & use later. So you end up doing math a lot faster. The Smart ChoiceYou could use what you learnt & apply it to solve math in the future. This might not be easy, because we just scratched the surface. I've already done the work for you. Why try to reinvent the wheel, when there is already a proven & tested system you can immediately apply. This book was first available in video format & has helped 10,000+ students from 132 countries. It is available at ofpad.com/mathcourse to enroll. This book was written to reach students who consume the information in text format. You can use the simple techniques in this book to do math faster than a calculator effortlessly in your head, even if you have no aptitude for math to begin with.Imagine waking up tomorrow being able to do lightning fast math in your head. Your family & friends will look at you like you are some kind of a genius. Since calculations are done in your head, you will acquire better mental habits in the process. So you will not just look like a genius. You will actually be one. Limited Time BonusWeekly training delivered through email for $97 is available for free as a bonus at the end of this book for the first set of readers. Once we have enough readers, this bonus will be charged $97. Why Price Is So LowThis book is priced at a ridiculous discount only to get our first set of readers. When we have enough readers the price will go up.

Mathematics for Economists


Carl P. Simon - 1994
    An abundance of applications to current economic analysis, illustrative diagrams, thought-provoking exercises, careful proofs, and a flexible organization-these are the advantages that Mathematics for Economists brings to today’s classroom.

Make Your Own Neural Network


Tariq Rashid - 2016
     Neural networks are a key element of deep learning and artificial intelligence, which today is capable of some truly impressive feats. Yet too few really understand how neural networks actually work. This guide will take you on a fun and unhurried journey, starting from very simple ideas, and gradually building up an understanding of how neural networks work. You won't need any mathematics beyond secondary school, and an accessible introduction to calculus is also included. The ambition of this guide is to make neural networks as accessible as possible to as many readers as possible - there are enough texts for advanced readers already! You'll learn to code in Python and make your own neural network, teaching it to recognise human handwritten numbers, and performing as well as professionally developed networks. Part 1 is about ideas. We introduce the mathematical ideas underlying the neural networks, gently with lots of illustrations and examples. Part 2 is practical. We introduce the popular and easy to learn Python programming language, and gradually builds up a neural network which can learn to recognise human handwritten numbers, easily getting it to perform as well as networks made by professionals. Part 3 extends these ideas further. We push the performance of our neural network to an industry leading 98% using only simple ideas and code, test the network on your own handwriting, take a privileged peek inside the mysterious mind of a neural network, and even get it all working on a Raspberry Pi. All the code in this has been tested to work on a Raspberry Pi Zero.