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Schaum's Outline of Beginning Calculus (2nd Edition)
Publisher: McGraw-Hill | ISBN: 0070417334 | edition 1997 | PDF | 400 pages | 17,5 mb
This easy-to-understand calculus study aid is ideal for those who are new to the subject. It offers a well-illustrated, step-by-step introduction that moves along at an easy-to-keep-up-with pace. Use it with your textbook or for independent study to improve your comprehension and boost your grades. It features 226 solved and 513 skill-building supplementary problems--more than other study guides. Whether you simply want to feel confident at test time or build a solid foundation in calculus for more advanced math, science, and engineering course, Schaum's Outline of Beginning Calculus is students' first choice. level of Ayres/Mendelson, Calculus, 3/e. This will make up the calculus segments of one-semester liberal arts courses and the various one-semester Calculus courses for business or life sciences. This book will also address weaker students in general freshman calculus and high school advanced placement courses. Theory is restricted to fundamentals of differentiation and integration (single-variable) and the solved problems, with no steps ommitted, include reviews of algebra. This updated edition will continue the excellent sales record of the first edition and will include: problems suitable for graphing calculators and existing problems adapted to involve calculator use; emphasis on aogorithmic aspects of Calculus; Newton's method will be given a separate section, a section various approximation techniques for integration, Simpson's Rule the Midpoint rule; a section that presents the traditional treatment of exponential and logarithmic functions, which method some textbooks have gone back to.




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Michael Browne, "Schaum's Outline of Physics for Engineering and Science"
McGraw-Hill | 1999-07-29 | ISBN: 007008498X | 452 pages | Djvu | 5,4 MB

This book will save you time as you master the basics taught in first-year, calculus-based college physics courses. You'll firmly grasp the all-important building blocks needed for every physical science and all branches of engineering. The many problems included with guided solutions make this potentially daunting subject much easier. Additional problems with answers give you a chance to reinforce what you've learned and gauge your progress as you go. This next-best thing to a private tutor makes especially clear the topics most students find most difficult. It's ideal for independent study, brushup before an exam, or preparation for the MED-CAT and GRE.



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Schaum's Outline of College Chemistry, 9ed
Publisher: McGraw-Hill | Pages: 392 | 2007-06-21 | ISBN 0071476709 | PDF | 4 MB

This new edition is geared for the latest developments in your subject, and covers the hottest specialties in chemistry such as forensics and materials science.


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David McMahon, «Linear Algebra Demystified»
McGraw-Hill Professional | ISBN: 0071465790 | 1 edition (October 28, 2005) | 255 pages | PDF | 1 Mb

From the Back Cover

* QUICK and DEPENDABLE review of a typical LINEAR ALGEBRA course
* Brings ABSTRACT concepts down to EARTH
* Hundreds of SOLVED PROBLEMS show you how to get answers, step by step
* Lots of QUIZZES, test questions, and a "final EXAM"

GET A LINE ON LINEAR ALGEBRA!
Now anyone with an interest in linear algebra can master it -- without formal training, unlimited time, or a genius IQ. In Linear Algebra Demystified, mathematician, physicist, and student-savvy author David McMahon provides an effective, illuminating, and entertaining way to learn the essentials of linear algebra.

With Linear Algebra Demystified, you master the subject one step at a time -- at your own speed. This unique self-teaching guide offers problems at the end of each chapter and section to pinpoint weaknesses, and a 100-question final exam to reinforce the entire book.

This fast and entertaining self-teaching course makes it much easier to:

* Conquer linear algebra with step-by-step explanations
* Get problem-solving help from hundreds of worked examples
* Gain practical mathematical tools for use in engineering, computer science, physics, and other fields
* Master eigenvalue and eigenvector problems with examples and clarifying discussions
* Find plain-language explanations of complex topics such as vector spaces, linear transformations, inverses, inner product spaces, and matrix decompositions
* Review for advanced linear algebra courses with this quick and reliable guide
* Take a "final exam" and grade it yourself!

Simple enough for beginners but challenging enough for those who already know something about linear algebra, Linear Algebra Demystified is the best self-teaching tool or brush-up you can find!

About the Author
David McMahon works as a researcher at a National Laboratory, a Department of Energy facility. His research involves work on nuclear fusion and the design of nuclear-powered spacecraft. He has a master's degree in physics and a bachelor's in applied mathematics, both from the University of New Mexico at Albuquerque. He is currently doing research for a doctorate in theoretical physics in the areas of quantum field theory and the use of general relativity. Mr. McMahon is a published author. Previous work includes two books on computer programming: Rapid Application Development with Visual Basic 6 and Rapid Application Development with Visual C ++. He also wrote Quantum Mechanics Demystified, Relativity Demystified, and was a contributing writer to Ace the Technical Interview.



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Clifford C. Houk, Richard Post "Chemistry: Concepts and Problems: A Self-Teaching Guide,2 Ed. "
Wiley | 1996-02 | ISBN: 0471121207 | 320 pages | PDF | 12,6 MB

The fast, easy way to master the fundamentals of chemistry
Have you ever wondered about the differences between liquids, gases, and solids? Or what actually happens when something burns? What exactly is a solution? An acid? A base? This is chemistry—the composition and structure of substances composing all matter, and how they can be transformed. Whether you are studying chemistry for the first time on your own, want to refresh your memory for a test, or need a little help for a course, this concise, interactive guide gives you a fresh approach to this fascinating subject. This fully up-to-date edition of Chemistry: Concepts and Problems:
Has been tested, rewritten, and retested to ensure that you can teach yourself all about chemistry
Requires no prerequisites
Lets you work at your own pace with a helpful question-and-answer format
Lists objectives for each chapter—you can skip ahead or find extra help if you need it
Reinforces what you learn with chapter self-tests

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Schaum's Outline of Programming with C
Publisher: McGraw-Hill | 1996-06-01 | 532 Pages | ISBN: 0070240353 | PDF | 9 MB

The broad, yet in-depth coverage of C programming language, within the context of today's C programming style, makes this book as useful for practicing professionals as it is for beginning programmers. This study guide solves many sample problems using other programming languages so readers can compare several popular languages. It also includes clear explanations of most of the features in the current ANSI standard. The emphasis throughout is on designing clear, legible, modular and efficient programs.

A Teaching Reference, And A Great Book
C is not a large language, there's not a lot to remember a far as conditionals, types, etc... but there is much to learn. This book gives only the facts and not dogma or methodologies, and the examples are to the point as they should be. This book really should be hardbound and sitting next to your copy of The C Programming language by DR and BK. This manila tome is truly one of the hidden gems you can get for 15 bucks. Use it until the pages fall apart, by then you will have assimulated it's worthwhile knowledge.

You really have to enjoy this book for it's straightforwardness. If you like the "Dummies" series, this book will progress a bit too fast for you, for it is rather complete in it's description of the language features. But if you read and digest technical matters in one or two (or three) gulps, you'll benefit from this book.


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Melody Templeton " Schaum's Quick Guide to Great Presentations "
McGraw-Hill; 1 edition | December 1, 1998 | English | ISBN : 0070220611 | 190 pages | 1.2MB

This guide provides all the essential tools for making organized and persuasive oral presentations. YouOll find exercisesNfor use alone or in a groupNto sharpen your skills and build self-confidence. Well-chosen examples illustrate and make memorable the doOs and donOts of successful talks and help you avoid common pitfalls. This guide includes tips on dealing with nervousness, and shows you how to use effective body language, visual aids, questions and answers, metaphors and more, to keep your audience excited and ready to remember your key points. Full of tips and techniques that work, this guide will help you look forward to your best, most confident presentations ever!

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Schaum's outline of theory and problems of numerical analysis, (Schaum's outline series): Francis J Scheid
McGraw-Hill | ISBN: 0070552215 | January 1, 1989 | PDF (OCR) | 471 pages | 16878 KB

The objective of numerical analysis is to solve complex numerical problems using only the simple operations of arithmetic, to develop and evaluate methods for computing numerical results from given data. The methods of computation are called algorithms.

Our efforts will be focused on the search for algorithms. For some problems, no satisfactory algorithm has yet been found, while for others there are several and we must choose among them. There are various reasons for choosing one algorithm over another, two obvious criteria being speed an accuracy. Speed is clearly an advantage, though for problems of modest size this advantage is almost eliminated by the power of the computer. For large scale problems speed is still a major factor, and a slow algorithm may have to be rejected as impractical. However, other things being equal, the faster method surely gets the nod.

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Richard Bronson, Govindasami Naadimuthu, "Schaum's Outline of Operations Research"
McGraw-Hill | 1997 | ISBN: 0070080208 | 456 pages | PDF (scan) | 24,6 MB

This solvedproblem study guide helps you ace operations research courses! Completely worked problems shoe you each and every step to hundreds of solutions! Tackling the broad range of allocation problems that actually confront engineers, programmers, and analysts in today's business and industrial worlds--exactly the kind of problems that appear on operations research exams--this complete study guide gives you step-by-step guidance in all the mathematical programming techniques--including the trailblazing Karmarkar algorithm--you need to excel in any operations research course. Using illustrative word problems that reflect typical, real-world situations, this study guide eases you through the variety of mathematical choices and applications used in operations research. Clear, logical explanations and one-step-at-a-time procedures show you how to analyze and solve each type of problem. Step by step, and working at your own pace, you learn to choose and apply the appropriate method. So comprehensive that it can be used as a complete independent study course, this guide is also the perfect complement and reinforcement to any text. Hundreds of supplementary problems give you a chance to practice newly learned techniques. Professionals working in the field will also find this comprehensive study guide useful as a hands-on solutions manual that quickly supplies the variety of techniques needed every day on the job! Chapters include: Mathematical Programming; Linear Programming: Basic Concepts; Linear Programming: The Simplex and the Dual Simplex Methods; Linear Programming: Duality and Sensitivity Analysis; Linear Programming: Extensions, Including the Revised Simplex Method and Karmarkar's Algorithm; Integer Programming: Branch-and-Bound Algorithm; Integer Programming: Cut algorithms: Inter Programming: The Transportation Algorithm; Integer Programming: Scheduling Models Nonlinear Programming: Single-Variable Optimization; Nonlinear Programming: Single-Variable Optimization; Nonlinear Programming: Multivariable Optimization with Constraints; Network Analysis; Project Planning Using PERT/CPM; Inventory Models; Forecasting; Game Theory; Decision Theory; Dynamic Programming--Deterministic and Stochastic; Finite Markov Chains; Markovian Birth-Death Processes; Queuing Systems; M/M/1 Systems; Other Systems with Poisson-Type Input and Exponential-Type Service Times.

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