Book picks similar to
Higher Engineering Mathematics by John O. Bird
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math
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50 Mathematical Ideas You Really Need to Know
Tony Crilly - 2007
Who invented zero? Why are there 60 seconds in a minute? Can a butterfly's wings really cause a storm on the far side of the world? In 50 concise essays, Professor Tony Crilly explains the mathematical concepts that allow use to understand and shape the world around us.
Keto Diet Cookbook For Beginners: 550 Recipes For Busy People on Keto Diet
Elizabeth Cunningham - 2018
550 Effortless Keto Recipes for Quick Weight Loss in 2019-20!
Do you crave quick & effortless keto recipes? And I know you had tasty dinners with the loved ones and there are a few or more extra pounds ''on board''! That's why I focused on creating the one and only Keto recipe book with 550 Delicious meals, that you'll ever need to cook to stay on Keto! Shoot for it!This simple, yet powerful keto cookbook has plenty of content in the following categories:
My Top 10 Keto Recipes
No-fuss Brunch and Dinner recipes to keep ''cheating''
Energizing Smoothies and Breakfasts
Great Meatless and Vegetarian recipes
Great variety of Soups, Stews and Salads
Fascinating Keto Desserts & Drinks
Lots of protein recipes - Poultry, Meat, Fish & Seafood
Craveable Side Dishes
&
Snacks
This complete Keto diet book will take care of your scarce cooking time and will show you the easiest & tastiest way towards a PERMANENT WEIGHT-LOSS & New Life on the keto.
Get it now and give yourself the best present!
Mostly Harmless Econometrics: An Empiricist's Companion
Joshua D. Angrist - 2008
In the modern experimentalist paradigm, these techniques address clear causal questions such as: Do smaller classes increase learning? Should wife batterers be arrested? How much does education raise wages? Mostly Harmless Econometrics shows how the basic tools of applied econometrics allow the data to speak.In addition to econometric essentials, Mostly Harmless Econometrics covers important new extensions--regression-discontinuity designs and quantile regression--as well as how to get standard errors right. Joshua Angrist and Jorn-Steffen Pischke explain why fancier econometric techniques are typically unnecessary and even dangerous. The applied econometric methods emphasized in this book are easy to use and relevant for many areas of contemporary social science.An irreverent review of econometric essentials A focus on tools that applied researchers use most Chapters on regression-discontinuity designs, quantile regression, and standard errors Many empirical examples A clear and concise resource with wide applications
Introductory Linear Algebra: An Applied First Course
Bernard Kolman - 1988
Calculus is not a prerequisite, although examples and exercises using very basic calculus are included (labeled Calculus Required.) The most technology-friendly text on the market, Introductory Linear Algebra is also the most flexible. By omitting certain sections, instructors can cover the essentials of linear algebra (including eigenvalues and eigenvectors), to show how the computer is used, and to introduce applications of linear algebra in a one-semester course.
The Second Scientific American Book of Mathematical Puzzles and Diversions
Martin Gardner - 1901
. . . His Mathematical Games column in Scientific American is one of the few bridges over C. P. Snow's famous 'gulf of mutual incomprehension' that lies between the technical and literary cultures."—Time
Gray Mountain: by John Grisham | Summary & Analysis
Book*Sense - 2014
Grisham's twenty-second legal thriller takes readers from the sky-scrapers of high-powered New York law firms to the dusty offices of a free legal clinic in small-town Virginia. Gray Mountain is both an exciting story of murder and intrigue and a thoughtful examination of the effects of the coal industry on life in Appalachia. Grisham's tight plotting, wry humor and three-dimensional characters bring the legal profession to life. Gray Mountain begins in the tempestuous, nerve-wracking and paranoid atmosphere of Manhattan set in the confusing months after the economic blow-out in 2008. We see the offices with their ignored vistas, the busy, dirty sidewalks, the cramped apartments shared by young professionals. After a brief sojourn in her hometown of Washington, D.C., protagonist Samantha, along with the story, heads for rural Virginia. Most of the novel takes place in the small town of Brady, Virginia, which is poor and somewhat down-at-heel. You also get the following in this Summary & Analysis of Gray Mountain: • Detailed Book Review from Experts • Story Setting Analysis of Gray Mountain • Gray Mountain Plot Analysis that will make you see the book from another angle. • Pick up bits you might have missed as we decipher the novel. • Details of Characters & Key Character Analysis • Summary of the text, with some analytical comments interspersed • Discussion & Analysis of Themes, Symbols… • And Much More! This Analysis of Gray Mountain fills the gap, making you understand more while enhancing your reading experience.
Sinatra: Up and Running
Alan Harris - 2011
With this concise book, you will quickly gain working knowledge of Sinatra and its minimalist approach to building both standalone and modular web applications.
Sinatra serves as a lightweight wrapper around Rack middleware, with syntax that maps closely to functions exposed by HTTP verbs, which makes it ideal for web services and APIs. If you have experience building applications with Ruby, you’ll quickly learn language fundamentals and see under-the-hood techniques, with the help of several practical examples. Then you’ll get hands-on experience with Sinatra by building your own blog engine.
Learn Sinatra’s core concepts, and get started by building a simple application
Create views, manage sessions, and work with Sinatra route definitions
Become familiar with the language’s internals, and take a closer look at Rack
Use different subclass methods for building flexible and robust architectures
Put Sinatra to work: build a blog that takes advantage of service hooks provided by the GitHub API
Nonlinear Dynamics and Chaos: With Applications to Physics, Biology, Chemistry, and Engineering
Steven H. Strogatz - 1994
The presentation stresses analytical methods, concrete examples, and geometric intuition. A unique feature of the book is its emphasis on applications. These include mechanical vibrations, lasers, biological rhythms, superconducting circuits, insect outbreaks, chemical oscillators, genetic control systems, chaotic waterwheels, and even a technique for using chaos to send secret messages. In each case, the scientific background is explained at an elementary level and closely integrated with mathematical theory.About the Author:Steven Strogatz is in the Center for Applied Mathematics and the Department of Theoretical and Applied Mathematics at Cornell University. Since receiving his Ph.D. from Harvard university in 1986, Professor Strogatz has been honored with several awards, including the E.M. Baker Award for Excellence, the highest teaching award given by MIT.
The Art of Computer Programming, Volumes 1-4a Boxed Set
Donald Ervin Knuth - 2011
Scientists have marveled at the beauty and elegance of his analysis, while ordinary programmers have successfully applied his "cookbook" solutions to their day-to-day problems. All have admired Knuth for the breadth, clarity, accuracy, and good humor found in his books. "I can't begin to tell you how many pleasurable hours of study and recreation they have afforded me I have pored over them in cars, restaurants, at work, at home... and even at a Little League game when my son wasn't in the line-up.""--"Charles Long Primarily written as a reference, some people have nevertheless found it possible and interesting to read each volume from beginning to end. A programmer in China even compared the experience to reading a poem. "If you think you're a really good programmer... read Knuth's] "Art of Computer Programming.".. You should definitely send me a resume if you can read the whole thing.""--"Bill Gates Whatever your background, if you need to do any serious computer programming, you will find your own good reason to make each volume in this series a readily accessible part of your scholarly or professional library. "It's always a pleasure when a problem is hard enough that you have to get the Knuths off the shelf. I find that merely opening one has a very useful terrorizing effect on computers.""--"Jonathan LaventholIn describing the new fourth volume, one reviewer listed the qualities that distinguish all of Knuth's work. In sum: ] "detailed coverage of the basics, illustrated with well-chosen examples; occasional forays into more esoteric topics and problems at the frontiers of research; impeccable writing peppered with occasional bits of humor; extensive collections of exercises, all with solutions or helpful hints; a careful attention to history; implementations of many of the algorithms in his classic step-by-step form."--Frank RuskeyThese four books comprise what easily could be the most important set of information on any serious programmer's bookshelf.
Things to Make and Do in the Fourth Dimension
Matt Parker - 2014
This book can be cut, drawn in, folded into shapes and will even take you to the fourth dimension. So join stand-up mathematician Matt Parker on a journey through narcissistic numbers, optimal dating algorithms, at least two different kinds of infinity and more.
Introduction to the Theory of Computation
Michael Sipser - 1996
Sipser's candid, crystal-clear style allows students at every level to understand and enjoy this field. His innovative "proof idea" sections explain profound concepts in plain English. The new edition incorporates many improvements students and professors have suggested over the years, and offers updated, classroom-tested problem sets at the end of each chapter.
Computers and Intractability: A Guide to the Theory of NP-Completeness
Michael R. Garey - 1979
Johnson. It was the first book exclusively on the theory of NP-completeness and computational intractability. The book features an appendix providing a thorough compendium of NP-complete problems (which was updated in later printings of the book). The book is now outdated in some respects as it does not cover more recent development such as the PCP theorem. It is nevertheless still in print and is regarded as a classic: in a 2006 study, the CiteSeer search engine listed the book as the most cited reference in computer science literature.
Python for Data Analysis
Wes McKinney - 2011
It is also a practical, modern introduction to scientific computing in Python, tailored for data-intensive applications. This is a book about the parts of the Python language and libraries you'll need to effectively solve a broad set of data analysis problems. This book is not an exposition on analytical methods using Python as the implementation language.Written by Wes McKinney, the main author of the pandas library, this hands-on book is packed with practical cases studies. It's ideal for analysts new to Python and for Python programmers new to scientific computing.Use the IPython interactive shell as your primary development environmentLearn basic and advanced NumPy (Numerical Python) featuresGet started with data analysis tools in the pandas libraryUse high-performance tools to load, clean, transform, merge, and reshape dataCreate scatter plots and static or interactive visualizations with matplotlibApply the pandas groupby facility to slice, dice, and summarize datasetsMeasure data by points in time, whether it's specific instances, fixed periods, or intervalsLearn how to solve problems in web analytics, social sciences, finance, and economics, through detailed examples
Mathematical Elements for Computer Graphics
David F. Rogers - 1976
It presents in a unified manner an introduction to the mathematical theory underlying computer graphic applications. It covers topics of keen interest to students in engineering and computer science: transformations, projections, 2-D and 3-D curve definition schemes, and surface definitions. It also includes techniques, such as B-splines, which are incorporated as part of the software in advanced engineering workstations. A basic knowledge of vector and matrix algebra and calculus is required.
Naked Statistics: Stripping the Dread from the Data
Charles Wheelan - 2012
How can we catch schools that cheat on standardized tests? How does Netflix know which movies you’ll like? What is causing the rising incidence of autism? As best-selling author Charles Wheelan shows us in Naked Statistics, the right data and a few well-chosen statistical tools can help us answer these questions and more.For those who slept through Stats 101, this book is a lifesaver. Wheelan strips away the arcane and technical details and focuses on the underlying intuition that drives statistical analysis. He clarifies key concepts such as inference, correlation, and regression analysis, reveals how biased or careless parties can manipulate or misrepresent data, and shows us how brilliant and creative researchers are exploiting the valuable data from natural experiments to tackle thorny questions.And in Wheelan’s trademark style, there’s not a dull page in sight. You’ll encounter clever Schlitz Beer marketers leveraging basic probability, an International Sausage Festival illuminating the tenets of the central limit theorem, and a head-scratching choice from the famous game show Let’s Make a Deal—and you’ll come away with insights each time. With the wit, accessibility, and sheer fun that turned Naked Economics into a bestseller, Wheelan defies the odds yet again by bringing another essential, formerly unglamorous discipline to life.