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PDF Ebook Academic Planner 2019-2020 July 2019 - June 2020: Daily, Weekly and Monthly Planner and Calendar Academic Year July 2019 - June 2020, by Simple Print Press

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Product details

Paperback: 135 pages

Publisher: Independently published (March 20, 2019)

Language: English

ISBN-10: 1090993323

ISBN-13: 978-1090993328

Product Dimensions:

8 x 0.3 x 10 inches

Shipping Weight: 12.8 ounces (View shipping rates and policies)

Average Customer Review:

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Amazon Best Sellers Rank:

#476,773 in Books (See Top 100 in Books)

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Academic Planner 2019-2020 July 2019 - June 2020: Daily, Weekly and Monthly Planner and Calendar Academic Year July 2019 - June 2020, by Simple Print Press PDF

Academic Planner 2019-2020 July 2019 - June 2020: Daily, Weekly and Monthly Planner and Calendar Academic Year July 2019 - June 2020, by Simple Print Press PDF

Academic Planner 2019-2020 July 2019 - June 2020: Daily, Weekly and Monthly Planner and Calendar Academic Year July 2019 - June 2020, by Simple Print Press PDF

Academic Planner 2019-2020 July 2019 - June 2020: Daily, Weekly and Monthly Planner and Calendar Academic Year July 2019 - June 2020, by Simple Print Press PDF

Ebook Free I Am Scout: The Biography of Harper Lee, by Charles J. Shields

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I Am Scout: The Biography of Harper Lee, by Charles J. Shields

Ebook Free I Am Scout: The Biography of Harper Lee, by Charles J. Shields

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Review

“Readers will come away with the sense not only that they know the writer of [To Kill a Mockingbird,] but also that she is someone that they would quite like.” ―The Bulletin“An absorbing and easy narrative style.” ―Kirkus Reviews“A fascinating look at the unconventional Lee.” ―Booklist“A surprisingly fascinating read.” ―School Library Journal“A page-turner.” ―ElleGirl

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About the Author

Charles J. Shields is the author of And So It Goes: Kurt Vonnegut: A Life, Mockingbird: A Portrait of Harper Lee, the highly acclaimed, bestselling biography of Harper Lee, and I Am Scout: The Biography of Harper Lee. He grew up in the Midwest and taught in a rural school in central Illinois for several years. He has been a reporter for public radio, a journalist, and the author of nonfiction books for young people. He and his wife live near Charlottesville, Virginia.

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Product details

Paperback: 288 pages

Publisher: Square Fish; Reprint edition (July 14, 2015)

Language: English

ISBN-10: 1250082218

ISBN-13: 978-1250082213

Product Dimensions:

5.9 x 0.8 x 8.1 inches

Shipping Weight: 5.6 ounces (View shipping rates and policies)

Average Customer Review:

4.3 out of 5 stars

88 customer reviews

Amazon Best Sellers Rank:

#279,498 in Books (See Top 100 in Books)

I have taught "To Kill a Mockingbird" (TKAM) in my sophomore English classes for eleven years. This biography provided interesting insights into the life of Harper Lee, and I saw many connections to TKAM. For example, the fact that Mrs. Finch has passed away and is barely mentioned in the novel always perplexed me. After reading the book, I now know why. I also know why Nelle/Harper Lee originally planned to name the book "Atticus."The biography is a "must" for anyone teaching TKAM or anyone who just loves the book (count me for both).

The story of Nelle's life is almost as fascinating as Scouts' with so many parallels, it makes for a great read! Timely reading for me with her recent passing offered some valuable insights into her life and character. If you loved "To kill a mockingbird" this is a great follow-up, after you read "Go set a watchman" of course!!

Good info. Really enjoyed it.

One of my favorite books

Great for young readers of th e book, "to kill a mockingbird:. Great Read for all ages.

This, coupled with Mockingbird, is one of the best reference materials for a true Harper Lee scholar.

Thought it gave you good background as to the characters involved in To Kill a Mockingbird.

An interesting book to read. Nelle truly was an intelligent woman, but not without inward problems.Her childhood friend was only interested in himself and his fame in the literary world. They had astrange literary relationship - at times like fire and water. Apparently she was a one book authorwho couldn't restart her talent and follow up with others,

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Download Ebook How to Be an Aztec Warrior, by Fiona MacDonald

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How to Be an Aztec Warrior, by Fiona MacDonald

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Review

"High-interest topics brought to life through readable texts." —School Library Journal

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About the Author

Fiona MacDonald studied history at Cambridge University and the University of East Anglia. She has taught in schools and universities, and is the author of numerous books for children on historical topics, such as the Middle Ages and ancient Rome. Some of these titles include How to Be an Aztec Warrior and How to Be a Medieval Knight.

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Product details

Age Range: 8 - 12 years

Grade Level: 3 - 7

Lexile Measure: 900L (What's this?)

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Series: How to Be

Paperback: 32 pages

Publisher: National Geographic Children's Books (January 8, 2008)

Language: English

ISBN-10: 1426301685

ISBN-13: 978-1426301681

Product Dimensions:

7.5 x 0.1 x 10.4 inches

Shipping Weight: 6.4 ounces (View shipping rates and policies)

Average Customer Review:

5.0 out of 5 stars

1 customer review

Amazon Best Sellers Rank:

#912,687 in Books (See Top 100 in Books)

The back of this National Geographic volume announces "Warriors Needed," and asks its young readers "How would you like to join the team that defends your people and your homeland?" It explains that your main duties as a Aztec warrior will be to defend your city against invaders, conquer new territory, control conquered peoples and collecting tribute from them, and taking captives to sacrifice to the gods. Just hurry to the main square of your city when you hear the beat of the big drum and you will be taking the first key step in learning "How to Be an Aztec Warrior."Written by Fiona Macdonald and illustrated by Dave Antram and Mark Bergin, this book asks young readers to imagine that they are living in the Aztec city of Tenochtitlan between A.D. 1300 and 1500 (in other words, right before the Spanish invaders will arrive in Mexico and destroy the Aztec Empire within two years). So basically you would be joining up during the height of the empire and can avoiding being killed by the diseases and guns the Spanish will bring to your land. The book takes a very practical approach to this topic, as well it should being a National Geographic "How to Be" volume. If you are part of a noble family you can become a top military officer, otherwise forget it. But if you are loyal to your "calpulli" (clan or large family group), went to the right school, and can handle weapons, then you can enlist and as soon as you take your first prisoner you can cut your hair (Aztec warriors would rather capture enemy soldiers, so that they can be sacrificed to the gods, then kill them).Actually, "How to Be an Aztec Warrior" gets beyond what you need to be a good warrior, by asking questions--such as "Will You Miss Home Cooking?", "Will You be Able to Travel," and "Can You Please the Gods?"--that allow Macdonald to work in other aspects of Aztec daily life. There are also practical concerns are the danger of being in battle (to cover the subject of medicine), and rank (so you understand the importance of jaguar knights and eagle knights). The final chapters (two-page spreads), cover the Aztec Emperor and the "Long-term Prospects" for your life as an Aztec warrior, which is not pretty good because the Spanish are coming, the Spanish are coming. For a better sense of why this is a monumental tragedy in the history of two cultures meeting you will have to look elsewhere, because it is outside the scope of this volume.In the back of the book there is "Your Interview," where you get to answer ten questions to see if you have what it takes to get the job. You need a score of 8 for this to be your destiny, but if you score fewer than 3 you are probably destined to be poor. There is a glossary of terms, both English (e.g., "ancestor," "tribute") and Aztec (e.g, "catcli," "xicolli"), and a couple of books listed for Further Reading about the Aztec and other Meso-American cultures. Other volumes in the series explain how to be a Roman soldier, medieval knight, and Samurai warrior. The books are aimed at ages 8-12 and what they do is attract readers who will be predominantly young boys and while providing interesting facts about being an ancient warrior slip in other key aspects of that particular culture as well. So Macdonald, Antram and Bergin might just be sneaky enough to become officers, even if they were not born into noble families.

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Ebook Free , by Molly Potter

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, by Molly Potter

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Product details

File Size: 8389 KB

Print Length: 48 pages

Publisher: Featherstone; 1 edition (December 13, 2017)

Publication Date: December 13, 2017

Sold by: Amazon Digital Services LLC

Language: English

ASIN: B0785PCRNM

Text-to-Speech:

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Amazon Best Sellers Rank:

#562,896 Paid in Kindle Store (See Top 100 Paid in Kindle Store)

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Get Free Ebook Chocolate Every Day: 85+ Plant-based Recipes for Cacao Treats that Support Your Health and Well-being

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Chocolate Every Day: 85+ Plant-based Recipes for Cacao Treats that Support Your Health and Well-being

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Review

"When I opened this gorgeous book I thought to myself...Am I dreaming?! Every recipe is absolutely drool-worthy, and I want to run to the kitchen to make each one. I love that Bennett and Kyleen show us how to make chocolate wholesome and healthy without sacrificing flavor—you’ll be inspired to cook (and taste) your way through this entire book!"—Angela Liddon, New York Times-bestselling author of The Oh She Glows Cookbook and Oh She Glows Every Day“Kyleen and Bennett make saving the planet irresistibly delicious.” —Matthew Prescott, author of Food Is the Solution: What to Eat to Save the World

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About the Author

Bennett Coffey and Kyleen Keenan are the cofounders of Not Your Sugar Mamas, a holistic chocolate company based on Martha's Vineyard. Both are graduates of the Institute for Integrative Nutrition and certified holistic nutrition counselors. Not Your Sugar Mamas has been featured in Well+Good, Vogue, Real Simple, and The Boston Globe.

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Product details

Hardcover: 224 pages

Publisher: Avery (June 26, 2018)

Language: English

ISBN-10: 0735216045

ISBN-13: 978-0735216044

Product Dimensions:

7.5 x 0.7 x 9.3 inches

Shipping Weight: 1.5 pounds (View shipping rates and policies)

Average Customer Review:

4.4 out of 5 stars

10 customer reviews

Amazon Best Sellers Rank:

#473,808 in Books (See Top 100 in Books)

My favorite recipe is the Salted Caramel Double Chocolate Pie. If you love chocolate with a healthy twist you will love this book!

This is a beautiful cookbook with delicious, healthy recipes that I feel good preparing. I have brought different treats from this book to various gatherings and everything I've made so far has been a huge hit. Everyone who has tasted the zucchini bread has asked me for the recipe.

This cook book is fantastic! Everything in this book is made with high-quality ingredients that you feel good about putting into your body. The photos are stunning and make you want to make every single recipe! I've tried almost every recipe in this book and all are as delicious as they sound. Highly recommend!

Nothing to dislike. I want to make everything in this book. so healthy & scrumptious.

Such a good buy. Everything was easy to make and my kids love it! Great gift for friends too!

First of all, let me say this - I am a trained pastry chef and I bought this book because I wanted to dive into making healthier, more wholesome desserts and wow oh wow did this book deliver! It's super approachable in the recipes, meaning I don't have to special order a million ingredients, but then the photos are just SO gorgeous they make you want to make everything! I've made a few of their recipes and they are all a hit: the almond butter cups were insane, brownie trifle divine, and the tiramisu beats anything else! I love also how the book really teaches you about the ingredients and why they are important - and how important good cacao is in our life. Great gift - get it and you'll love it just as much! Oh and don't think because they are plant based recipes you need to be vegan to enjoy it, we are not vegan and LOVE this book!

As usual, I borrowed this book from the library before deciding whether to buy it. I will not be purchasing this book because (1) it's vegan and (2) it isn't as healthy as advertised. The recipes sound delicious until one looks more closely at the ingredients. For example, maple syrup and/or honey are used as sweeteners in essentially in every recipe. The problem is that maple syrup and honey are every bit as unhealthy for us as refined sugar. Honey is basically fructose, and we all know that high fructose corn syrup is something to be avoided at all costs. In addition, many recipes use coconut butter. Coconut oil is commonly sold as a health food and some claim the fat in it may be better for us than other saturated fats. However, the AHA reports that coconut oil is as unhealthy as beef drippings and butter. As far as the vegan issue, if I'm going to consume a food that contains maple syrup, honey and coconut butter, then I'd rather go ahead and use butter, cream, milk and eggs in favor of saving the product for a special treat than to denigrate the taste by using eggs made from chia seeds, etc., just so that I can fool myself into believing that it is healthy enough to consume every day. I'll be attempting to develop my own cacao recipes that are healthy and tasty without the need to substitute for eggs, butter and milk.

I love this book! I have already made a few recipes from it. I make the coconut bacon almost DAILY. I am obsessed. Do yourself a favor and get this book! It's full of unexpected and delicious plant-based recipes. Seriously...I've dug through endless vegan food blogs and recipes. These recipes are special.

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Publisher: Princeton University Press (December 27, 2011)

Publication Date: December 27, 2011

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I nearly finish reading the John MacCornick book and I must say it is an excellent written book. Everyone could recommends or excludes some of the algorithms that he describes --values are choices, they aren't properties of the algorithm themselves-- but no one could say that any of them are worthless or with no impact in actual computational systems. The author style approach readers with a moderate level of understanding in computation. That said to remark my astonishing look reading to some Computer Science professional reviewers alleging difficulties understand it. Even to an experience programmer as myself, this book is an enjoyable journey through one of the most fascinating and essential areas of Computer Science: algorithms.(Let me qualify myself. I'm an IT consultant with over 15 years of experience. I have two Microsoft certifications (MCDBA and MCSD, both VB6 and .NET), and a Master degree in Information Science. The discovery, invention and application of algorithms in Object-oriented programs with a dense use of design patterns is one of my lines of investigations.)

An algorithm is a well defined procedure for performing a task. A household example of an algorithm is a recipe -- for example, the list of ingredients together with the sequence of instructions needed to bake a pie. In order for a computer to perform a task, it needs ingredients -- the data -- and instructions -- the algorithm.Author John MacCormick, currently Professor of Computer Science at Dickinson College, has chosen nine important tasks performed by computers and explained the algorithms that are used. In a chapter devoted to each, he explains:* The development of search engines -- how to find information on the internet.* The PageRank process used by Google to produce highly relevant search results.* Public-key cryptography, enabling secure transmission of secret messages -- such as your credit card number -- over open communication channels.* Methods for detecting errors in data transmission and automatically correcting them.* Several pattern recognition techniques, illustrated by classifying handwritten numbers, facial recognition, and decision trees.* Data compression. Storing text, music, and images efficiently.* Databases. Storing and retrieving information efficiently. Techniques for modifying databases reliably, even when computers crash while the modification is in progress.* Digital signatures. How to be certain data is trustworthy.* Deciding what is computable.Even though the techniques that enable these algorithms are complex, Dr. MacCormick explains them in a clear and interesting manner using well constructed examples.I highly recommend this book for a fascinating and easily accessible look at the core of computer science and its application to everyday lives.

If you are already an Expert in any of the 9 Areas explored here. then this is probably not for you. For those who complain that more interesting algorithms are not discussed - the Author does an excellent job explaining his rationale for what he includes and excludes (and I agree with his thesis - it would be hard for me to explain how recursion or shell short changed the world, But public key encryption - not a problem). This explains the fundamental concepts and it does it in a clear way requiring no advanced mathematics etc. and for that I appreciate and applaud this book. I Have read Other explanations of these topic sand have not come aware with a clear an understanding as I obtained from reading this slim Volume. Many authors seem to be obsessed with showing you how clever they are and how well they understand a topic - rather than help you reach the same level of understanding. For this reason I would rate this Volume as Excellent.

I'm a computational biologist and a self-taught programmer, meaning that I'm always looking to improve my knowledge and understanding of computer science (CS) and how to apply it to my research. This book is a great introduction to general algorithms, although I've already encountered most of them in my studies, and the language is a bit too simple for my background.With that being said, I think it's really good for those who are either complete CS newbies, or those who are marginally interested in how the world of computers works without wanting to delve into technical language. I certainly would have gotten interested in CS long before I did if I had read this before college!

An excellent choice of algorithm that made great part of the word that we now live in. The book tries to present these ideas without assuming any programming or mathematical knowledge on part of the reader. As is to be expected, this becomes a bit awkward in the case of asymetric criptography but succeeds amazingly well in other cases. I am using this book for developing an introductory class for computer science and I am very satisfied with the book, because it gives me the material to explain what computer science really is instead of having me dig through the papers myself. The author chose to concentrate just on the algorithms and not on the economiceco-system in which software lives, so there is no real explanation why Altavista did not survive in the top three search engines, forexample. Considering on your view, this is a feature, not a bug. For the general reader, this book suffers from all the advantages and shortcomings of books that try to explain a feature of a science to people without the necessary aparatus. I remember reading a book by - I think - Dirac on quantum physics in high school and not making to much out of it, but as far as the genre goes, this is a really good book.

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Review

"Distinguishing features are the inclusion of many recent applications of numerical methods and the extensive discussion of methods based on Chebyshev interpolation. This book would be suitable for use in courses aimed at advanced undergraduate students in mathematics, the sciences, and engineering." (Choice)"An instructor could assemble several different one-semester courses using this book--numerical linear algebra and interpolation, or numerical solutions of differential equations--or perhaps a two-semester sequence. This is a charming book, well worth consideration for the next numerical analysis course."---William J. Satzer, MAA Focus"[Numerical Methods] is a very pleasant book, where the concepts involved are clearly explained. All chapters begin with motivating examples that give a precise idea of the methods developed. In addition, every chapter ends with an extensive collection of exercises, useful to understand the importance of the results. These are complemented by a series of exercises, designed to be performed with Matlab, useful to appreciate the behavior of the methods studied." (European Mathematical Society)"This is an excellent introduction to the exciting world of numerical analysis. Fulfilling the need for a modern textbook on numerical methods, this volume has a wealth of examples that will keep students interested in the material. The mathematics is completely rigorous and I applaud the authors for doing such a marvelous job."--Michele Benzi, Emory University"Filled with polished details and a plethora of examples and illustrations, this ambitious and substantial text touches every standard topic of numerical analysis. The authors have done a huge amount of work and produced a major textbook for this subject."--Lloyd N. Trefethen, University of Oxford

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"This is an excellent introduction to the exciting world of numerical analysis. Fulfilling the need for a modern textbook on numerical methods, this volume has a wealth of examples that will keep students interested in the material. The mathematics is completely rigorous and I applaud the authors for doing such a marvelous job."--Michele Benzi, Emory University"Filled with polished details and a plethora of examples and illustrations, this ambitious and substantial text touches every standard topic of numerical analysis. The authors have done a huge amount of work and produced a major textbook for this subject."--Lloyd N. Trefethen, University of Oxford

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Product details

Hardcover: 464 pages

Publisher: Princeton University Press; 3.2.2012 edition (April 1, 2012)

Language: English

ISBN-10: 0691151229

ISBN-13: 978-0691151229

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7.2 x 1.2 x 10 inches

Shipping Weight: 2.5 pounds (View shipping rates and policies)

Average Customer Review:

3.7 out of 5 stars

8 customer reviews

Amazon Best Sellers Rank:

#1,015,492 in Books (See Top 100 in Books)

I teach computers to do math, so-- disclaimer-- I'm on the applied, not pure math side of NA. I came across this text while compiling a Body of Knowledge entry on Spectral, Fourier and Chebyshev methods for IEEE and the International Association of Bodies of Knowledge (The 9bok dot org people who certify math BoKs). The usual "track" for advanced undergrads is Calc up to PDE's, some linear algebra, a little computer arithmetic (and maybe some of my field, Computer Algebra), then on to Engineering or Physics.Along the way, most of us will touch Numerical Analysis. There are two distinct sides to NA-- pure, as a way of defining formal proofs with "results" as much as methods, and applied-- solving problems, especially using algorithms, via close approximation, guessing, brute force, iteration, and other "cheats." The problem with many of the classic NA texts is that "applied" usually means, you guessed it, physics and engineering. Today, however, NA is as much at home with digital artists, game programmers creating physics engines, animators, Maya programmers, etc. as with physicists!You'd think with that going on, there would be some rocking texts that are also fun. Not the case. Sadly, most of the "better" (read understandable) texts in NA date back to the late 1980s, when there was no internet (there were 50 websites in 1992 when Clinton took office). In fact, this author's book on Iterative Linear methods dates back to 1987, and John Boyd's classic on Fourier Spectrals to 1989.This text changes a lot of that! The authors use a LOT more current examples you're likely to find in many other fields, from protein folding to NASCAR. Who uses computers to "guess" at difficult PDE solutions other than astrophysicists? Try Neurologists modeling cognition as Dynamic Systems! Yes, the applications today are way beyond what they were in 1987, and we finally have an NA text that covers not only the basics, but MANY cutting edge areas-- like fractals-- that weren't even taken seriously back then.To be fair, some of the examples just give a "taste" of the field, and were filled in by experts, but not really used in the text, and apparently not really understood by the authors. For example, Dan Goldman was tapped to give some fun examples of collision detection for Yoda in Star Wars, but if you look up Inverse Kinematics or Kinematics in the Index, there is no mention. Lorentz transforms and dynamic analysis are not really covered, and when their NA engines are mentioned (Newton's Method, for example), they are in the context of Julia sets and fractals, not Kinematics.If you haven't taken linear algebra and aren't very familiar with matrices, there is "some" review here, but not enough to make this text fun and painless. You really need to brush up on LA before tackling this. Look at it this way: you can think of many NA techniques as you would visual basic behind Excel. Your computer is using a lot of "spreadsheet" type crunching, only of functions, to "guesstimate" things like zeros/roots, parameters, etc. So what are these "spreadsheets" called by mathematicians? Right, Linear Algebra (on roids). Back in ancient times (the 90's) NA was considered the playground of mathematicians, engineers and physicists. Today, game programmers, animators, digital artists and even programmers like yours truly need to understand it to know what's going on underneath the calculations-- namely, crunching, right down to the stacks and registers.Another group that will like this text are the embedded circuit folks-- instead of nail biting about on or off chip memory limits, many of the newer memory limit "work arounds" are in NA functions, algorithms and shortcuts. Sure, we'll eventually have to SOLVE the memory issues, but for now, the real world IS about working around with "close enough" solutions. You won't find any of these applications in most NA texts-- the present work is a gem, and unique in being up to date on many NOW applications, including several beyond the traditional physics and engineering examples. Oh, and yes, you do learn analysis here too, including the proofs and pure math sides if your track is math. I'm not qualified to opine in that "pure proof" track, but if you're on the applied side of NA, and want to go deeper, you'll love this text.History note for a few emailers: Thanks for reminding me that 1987 is "recent" compared to many NA techniques that adapt Euler to algorithmic form-- by "recent" I also mean that these authors use examples like web surfing and Google's (secret sauce) analytics. I'm talking examples too, not just the fact --which I'll gladly grant-- that much of NA stands on the shoulders of giants going back to the 1700s. I challenge anyone to show me an NA text that is this relevant to today's applications, however! If you're a student, you also won't feel like you're being forced to study stuff that will have no relevance to your future. If you're a prof-- don't you want to orient your students via examples that are being used right now? They WILL thank you!

I am an undergraduate student in Applied Mathematics who just used this text in a course on Numerical Analysis in one of the last courses I'm taking before moving on to grad school for Computer Science.As a previous reviewer noted, this text really goes out of its way to motivate the reader with a bit of a firehose approach to introducing all the different ways in which this material can be applied to computing problems, from graphics processing to machining to airfoil simulation to web search. This field of study may have been developed centuries ago largely by astrophysicists, but the application goes way beyond that with the widespread availability of computers and their ability to implement algorithms that involve too many steps to complete by hand.The complete chapter list is1) Mathematical Modeling2) Basic Operations with MATLAB3) Monte Carlo Methods4) Solution of a Single Nonlinear Equation in One Unknown5) Floating-Point Arithmetic6) Conditioning of Problems; Stability of Algorithms7) Direct Methods for Solving Linear Systems and Least Squares Problems8) Polynomial and Piecewise Polynomial Interpolation9) Numerical Differentiation and Richardson Extrapolation10) Numerical Integration11) Numerical Solution of the Initial Value Problem for Ordinary Differential Equations12) More Numerical Linear Algebra: Eigenvalues and Iterative Methods for Solving Linear Systems13) Numerical Solution of Two-Point Boundary Value Problems14) Numerical Solution of Partial Differential EquationsAppendices:A) Review of Linear AlgebraB) Taylor's Theorem in MultidimensionsFirst off, the prerequisites review is not going to help you unless you already learned linear algebra and calculus (at least up to power series) in detail in the past. If you're purchasing this for a university course, they should be enforcing prerequisites anyway. If you're purchasing this for self-study, be aware that it's not teaching you much math. Finding polynomial roots, solving linear systems, solving least squares problems, differentiation, integration, and solving differential equations should be something you already know how to do. This text is simply showing you how to do it with a computer when an analytic solution is either not available or otherwise too difficult. Additionally, you'll probably be a little lost without a background in probability in the Monte Carlo chapter, but that chapter really does not tie in with the rest of the text and can be easily omitted (we covered it, but the professor didn't expect much and was clear in stating this is a non-traditional topic for a text in numerical analysis).The upside of this text is that it is extremely readable. Derivations, theorems, and proofs are integrated with narrative and are given a clear explanation. It came across a bit dense at first, but as the error analysis for each algorithm relies upon the order of the remainder term in a Taylor series expansion, the proofs should eventually click given the similarity from one to the next. For the most part, the algorithms themselves are not very complicated. Figuring out how to code some of the solvers for linear systems took me a few hours, though I think that had more to do with learning specific language features than anything about the algorithm itself. The harder part is the error analysis, and you really need to slow down, write it all down and figure out what's happening before you move on. There isn't much complexity analysis, and what little there is should not be challenging if you have any background in more general algorithmic analysis/discrete math.As a quick note for students who are not using MATLAB, beware some of the specific low-level features of the language you're using. Undergrad math departments like to use computer algebra systems, and these are very nice for symbolic computation, but they often don't work the same. We used Maple in my course, and by default, Maple uses software floating-point numbers and performs much of the computation in memory, not in the processor ALU, and this changes the error analysis as software floats don't adhere to the IEEE double-precision standard the text discusses and are not limited by machine precision. You can get identical results to those in the text, with identical error analysis, but only if you explicitly tell the software to use hardware floating-point representations. You may need to dig into the documentation to figure out how to do this.Downsides: This may or may not be a downside depending upon what you're looking for, but this is very much a university textbook. It's teaching you how to think like a numerical analyst. The code snippets are nice, but this is not a reference or a cookbook. Much of the code is fragments. You can copy and paste it straight into a MATLAB script and it won't run. You're not going to pick up this book and instantly learn how to do something. You're going to struggle to learn something. But you will learn. There's a fair amount (arguably too much) of MATLAB-specific discussion: for instance, how to use chebfun to find Chebyshev nodes when interpolating high-degree polynomials. You're on your own figuring out how to do this if you don't have MATLAB or some comparable numerical computing software. Note that Octave and Numpy have much of the same functionality and are free, so if you can't get student MATLAB, you can still follow along.Note that there is also no solution manual available yet and no answers to any of the exercises. This may or may not make a difference to you. If you're in a course being taught by a professor, the professor will grade and provide feedback and answer homework questions. If you're purchasing this for self-study, be aware. It's really easy if you have MATLAB or Maple or know how to use Numpy to use built-in functions to check for the true solution of a linear system or a least squares problem and then see if your code worked by comparison. If you don't have those tools or don't know how to use them, however, the text itself will not help you.The bottom line is I would not recommend this for self-study unless you already have a math, cs, or engineering background and simply never covered numerical analysis. You need to have the prerequisite background, which is at least a full year of calculus and a full term of linear algebra. Ideally, you've had calc III and some background in programming and algorithmic complexity analysis, but these are not completely necessary. The coverage of each topic is brief and you will not find it difficult if you have the background. You're not going to get very deep into how to find eigenvalues of large matrices. This book is simply the next step when you've already learned calculus and linear algebra to begin considering the engineering problems faced when you implement techniques on a computer and now have to worry about conditioning and stability and floating-point arithmetic. It gives you the tools to understand the sources of error and to properly weigh trade-offs using rigorous quantification.

This book is fine as a Matlab (or GNU Octave) tutorial but for numerical analysis I'd like to see some fairly rigorous proofs.

Excellent book! It's full of very useful and practical information.

Smooth, fast transaction. Thanks!

good, as advertised

Good delivery, not easy to read.

Speaking as an undergraduate, I simply hated this book. It was very confusing to read because the material would jump all over the place. I had to use notes that were uploaded by other schools to get through my class.

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