Book picks similar to
Numerical Methods by Germund Dahlquist


mathematics
math
computer-science
chemistry

The Complete Rigger's Apprentice: Tools and Techniques for Modern and Traditional Rigging


Brion Toss - 1997
    It's much more than a knot book, though the knots a sailor needs are all here. It's a book for sailors who want the satisfaction and hard-cash savings of stepping their own masts, inspecting and maintaining their own rigs, and turning their own tailsplices and wire eyesplices. It is for boatowners who want to replace an entire gang of rigging themselves--measuring, choosing appropriate wire, turning soft eyes, leathering, and serving. It is for bluewater voyagers who want to feel secure in the knowledge that, should a shroud carry away far at sea, they will be able to repair it.The Complete Rigger's Apprentice is also a free-roaming collection of useful ideas and tips on everything from supplementing winches with block and tackle, to rigging snubbers at anchor, to using pantyhose for an emergency fanbelt. In short, it's the definitive book on the art of rigging, written by its most entertaining practitioner.

The Art of R Programming: A Tour of Statistical Software Design


Norman Matloff - 2011
    No statistical knowledge is required, and your programming skills can range from hobbyist to pro.Along the way, you'll learn about functional and object-oriented programming, running mathematical simulations, and rearranging complex data into simpler, more useful formats. You'll also learn to: Create artful graphs to visualize complex data sets and functions Write more efficient code using parallel R and vectorization Interface R with C/C++ and Python for increased speed or functionality Find new R packages for text analysis, image manipulation, and more Squash annoying bugs with advanced debugging techniques Whether you're designing aircraft, forecasting the weather, or you just need to tame your data, The Art of R Programming is your guide to harnessing the power of statistical computing.

Book of Proof


Richard Hammack - 2009
    It is a bridge from the computational courses (such as calculus or differential equations) that students typically encounter in their first year of college to a more abstract outlook. It lays a foundation for more theoretical courses such as topology, analysis and abstract algebra. Although it may be more meaningful to the student who has had some calculus, there is really no prerequisite other than a measure of mathematical maturity. Topics include sets, logic, counting, methods of conditional and non-conditional proof, disproof, induction, relations, functions and infinite cardinality.

CARDIO SUCKS! 15 Excellent Ways to Burn Fat Fast and Get in Shape (The Lean Muscle Series)


Michael Matthews - 2012
    And it's a fast read--no fluff here.Here are some of the secrets you'll learn inside:The 4 biggest weight loss myths and mistakes that keep people fat and stuck in a rut. If you've fallen victim to any of these (and most people have), you NEED to have this information.The 3 simple laws of healthy fat loss. All workable weight-loss methods rely on the three simple rules to achieve results, and once you know them, you don't need to chase fads.Why long-distance jogging is an incredibly inefficient way to lose weight and what you should do instead to have a lean, sexy body that you're proud of. (The good news is it's easy and takes no more than 20 minutes per day!)A fat-incinerating method of cardio that you can literally do during the 2-3 minute commercial breaks of your favorite TV shows. 4 killer circuit training workouts that not only melt fat but give you hard, rippling muscles that will make people green with envy.And more... This book is for people that hate doing cardio and want to squeeze every ounce of fat loss possible out of their workouts.Forget pounding the pavement for hours and hours every week just to lose a little fat and muscle. Follow the methods taught in this book and you can torch fat in a fraction of the time and get tight, toned muscles (and you might actually have some fun too!).SPECIAL BONUS FOR READERS!With this book you'll also get a free 23-page bonus report from the author called "12 Health & Fitness Mistakes You Don't Know You're Making."In this free bonus report, you're going to learn the truth behind 12 of the most common health & fitness myths out there that ruin people's efforts to get fit. If you've ever wondered about things like if your genetics are holding you back, if you should stretch before lifting weights, if certain exercises shape your muscles better than others, and if you should shoot for a "target" heart rate zone to burn fat, then you need to read this report.

Introduction to Algorithms: A Creative Approach


Udi Manber - 1989
    The heart of this creative process lies in an analogy between proving mathematical theorems by induction and designing combinatorial algorithms. The book contains hundreds of problems and examples. It is designed to enhance the reader's problem-solving abilities and understanding of the principles behind algorithm design.

Win Shares


Bill James - 2002
    James' latest advancement in the world of statistical analysis is the next big stepping-stone in the "greatest players of all-time" debate. For as long as baseball has been played, fans have struggled to compare the legends of the game with today's stars. Win Shares by Decade is just one of the many sections you'll find inside to help you judge who ranks where among the pantheon of baseball greats.

Geek Logik: 50 Foolproof Equations for Everyday Life


Garth Sundem - 2006
    Call it the algebra oracle: By plugging in the right variables, GEEK LOGIK answers life’s most persistent questions. It covers Dating and Romance, Career and Finance, and everyday decisions like Should I get a tattoo? Can I still wear tight jeans? Is it time to see a therapist? How many beers should I have at the company picnic? How does it work? Take a simple issue that comes up once or twice a week: Should I call in sick? Fill in the variables honestly, such as D for doctor’s note (enter 1 for “no,†10 for “yes,†and 5 for “yes, but it’s a forgeryâ€), R for importance of job (1-10, with 10 being “personally responsible for Earth’s orbit around Sunâ€), Fj for how much fun you have at work (1-10, with 10 being “personal trainer for underwear modelsâ€), N for how much you need the money (1-10, with 10 being “I owe the mobâ€), then do the math, and voilà—if the product, Hooky, is greater than 1, enjoy your very own Ferris Bueller’s Day Off. Includes a pocket calculator so that prospective geeks can immediately solve the equation on the back cover: Should I buy this book?

Algorithms Illuminated (Part 1): The Basics


Tim Roughgarden - 2017
    Their applications range from network routing and computational genomics to public-key cryptography and database system implementation. Studying algorithms can make you a better programmer, a clearer thinker, and a master of technical interviews. Algorithms Illuminated is an accessible introduction to the subject---a transcript of what an expert algorithms tutor would say over a series of one-on-one lessons. The exposition is rigorous but emphasizes the big picture and conceptual understanding over low-level implementation and mathematical details. Part 1 of the book series covers asymptotic analysis and big-O notation, divide-and-conquer algorithms and the master method, randomized algorithms, and several famous algorithms for sorting and selection.

Deep Learning with Python


François Chollet - 2017
    It is the technology behind photo tagging systems at Facebook and Google, self-driving cars, speech recognition systems on your smartphone, and much more.In particular, Deep learning excels at solving machine perception problems: understanding the content of image data, video data, or sound data. Here's a simple example: say you have a large collection of images, and that you want tags associated with each image, for example, "dog," "cat," etc. Deep learning can allow you to create a system that understands how to map such tags to images, learning only from examples. This system can then be applied to new images, automating the task of photo tagging. A deep learning model only has to be fed examples of a task to start generating useful results on new data.

Algorithms


Sanjoy Dasgupta - 2006
    Emphasis is placed on understanding the crisp mathematical idea behind each algorithm, in a manner that is intuitive and rigorous without being unduly formal. Features include: The use of boxes to strengthen the narrative: pieces that provide historical context, descriptions of how the algorithms are used in practice, and excursions for the mathematically sophisticated.Carefully chosen advanced topics that can be skipped in a standard one-semester course, but can be covered in an advanced algorithms course or in a more leisurely two-semester sequence.An accessible treatment of linear programming introduces students to one of the greatest achievements in algorithms. An optional chapter on the quantum algorithm for factoring provides a unique peephole into this exciting topic. In addition to the text, DasGupta also offers a Solutions Manual, which is available on the Online Learning Center.Algorithms is an outstanding undergraduate text, equally informed by the historical roots and contemporary applications of its subject. Like a captivating novel, it is a joy to read. Tim Roughgarden Stanford University

Numerical Linear Algebra


Lloyd N. Trefethen - 1997
    The clarity and eloquence of the presentation make it popular with teachers and students alike. The text aims to expand the reader's view of the field and to present standard material in a novel way. All of the most important topics in the field are covered with a fresh perspective, including iterative methods for systems of equations and eigenvalue problems and the underlying principles of conditioning and stability. Presentation is in the form of 40 lectures, which each focus on one or two central ideas. The unity between topics is emphasized throughout, with no risk of getting lost in details and technicalities. The book breaks with tradition by beginning with the QR factorization - an important and fresh idea for students, and the thread that connects most of the algorithms of numerical linear algebra.

Fearless Symmetry: Exposing the Hidden Patterns of Numbers


Avner Ash - 2006
    But sometimes the solutions are not as interesting as the beautiful symmetric patterns that lead to them. Written in a friendly style for a general audience, Fearless Symmetry is the first popular math book to discuss these elegant and mysterious patterns and the ingenious techniques mathematicians use to uncover them.Hidden symmetries were first discovered nearly two hundred years ago by French mathematician �variste Galois. They have been used extensively in the oldest and largest branch of mathematics--number theory--for such diverse applications as acoustics, radar, and codes and ciphers. They have also been employed in the study of Fibonacci numbers and to attack well-known problems such as Fermat's Last Theorem, Pythagorean Triples, and the ever-elusive Riemann Hypothesis. Mathematicians are still devising techniques for teasing out these mysterious patterns, and their uses are limited only by the imagination.The first popular book to address representation theory and reciprocity laws, Fearless Symmetry focuses on how mathematicians solve equations and prove theorems. It discusses rules of math and why they are just as important as those in any games one might play. The book starts with basic properties of integers and permutations and reaches current research in number theory. Along the way, it takes delightful historical and philosophical digressions. Required reading for all math buffs, the book will appeal to anyone curious about popular mathematics and its myriad contributions to everyday life.

A First Course in Probability


Sheldon M. Ross - 1976
    A software diskette provides an easy-to-use tool for students to derive probabilities for binomial.

Speakable and Unspeakable in Quantum Mechanics


John Stewart Bell - 1987
    This work has played a major role in the development of our current understanding of the profound nature of quantum concepts and of the fundamental limitations they impose on the applicability of the classical ideas of space, time and locality. This book contains all of John Bell's published and unpublished papers on the conceptual and philosophical problems of quantum mechanics.

Introduction to Operations Research [with Revised CD-ROM]


Frederick S. Hillier - 1967
    This edition also features the developments in Operations Research, such as metaheuristics, simulation, and spreadsheet modeling.