A First Course in Differential Equations: With Modeling Applications (9th Edition) (Including Solutions) - Dennis G. Zill

An analytical, qualitative, and quantitative approach to differential equations

Book Description:

A First Course in Differential Equations with Modeling Applications, 9th Edition strikes a balance between the analytical, qualitative, and quantitative approaches to the study of differential equations. This proven and accessible text speaks to beginning engineering and math students through a wealth of pedagogical aids, including an abundance of examples, explanations, "Remarks" boxes, definitions, and group projects. Using a straightforward, readable, and helpful style, this book provides a thorough treatment of boundary-value problems and partial differential equations.

Amazon.com

DOWNLOAD

Read more >>

A Brief History of Time by Stephen Hawking

Plunge in the depth of scientific aspects of the creation of our universe

A Brief History of Time is a popular science book written by renown physicist Stephen Hawking and first published by the Bantam Dell Publishing Group in 1988. It became a best-seller and has sold more than 10 million copies. It was also on the London Sunday Times best-seller list for more than four years.

A Brief History of Time attempts to explain a range of subjects in cosmology, including the Big Bang, black holes and light cones, to the non-specialist reader. Its main goal is to give an overview of the subject but, unusual for a popular science book, it also attempts to explain some complex mathematics.

This book explores such profound questions as: How did the universe begin—and what made its start possible? Does time always flow forward? Is the universe unending—or are there boundaries? Are there other dimensions in space? What will happen when it all ends?

Told in language we all can understand, A Brief History of Time plunges into the exotic realms of black holes and quarks, of antimatter and “arrows of time,” of the big bang and a bigger God—where the possibilities are wondrous and unexpected. With exciting images and profound imagination, Stephen Hawking brings us closer to the ultimate secrets at the very heart of creation.

The book ends with: "If we find [a unified theory], it would be the ultimate triumph — for then we would know the mind of God."

DOWNLOAD

Read more >>

Algebrator 4.0.1 (Portable)

Solution to Algebraic Problems at Your finger tips!

[Solution | Steps | Graph | Explanation]

Algebrator is one of the most powerful algebra software programs ever developed. It will tackle the hardest algebra problems you throw at it. And it can show every step to every answer, effectively serving as an automated tutor for Algebra students at every level.

Read more >>

Probability, Random Variables & Stochastic Processes – Athanasios Papoulis

Download this classic book with solutions!

This text is a classic in probability, statistics, and estimation and in the application of these fields to modern engineering problems. Probability, Random Variables, and Stochastic Processes assumes a strong college mathematics background. The first half of the text develops the basic machinery of probability and statistics from first principles while the second half develops applications of the basic theory. Topics in the first section include probability distributions and densities, random variables and vectors, expectations, covariance, correlations, functions of random variables and vectors, and conditional distributions and densities. In this third edition of the text, the second half of the book has been substantially updated and expanded to include new or revised discussions of the following topics: mean square estimation, likelihood tests, maximum entropy methods, Monte Carlo techniques, spectral representations and estimation, sampling theory, bispectra and system identification, cyclostationary processes, deterministic signals in noise, and the Wiener and Kalman filters. Probability, Random Variables, and Stochastic Processes covers a remarkable density of material and the clarity of both presentation and notation make this book invaluable as a text and a reference.

DOWNLOAD

Read more >>

Circuit Analysis I with MATLAB - Steven T. Karris

This book introduces the basic principles of electrical engineering presumes basic knowledge of differential and integral calculus and physics. Students learn the fundamentals of electrical circuit analysis and are introduced to MATLAB--software used to write efficient, compact programs to solve electrical and computer engineering problems of varying complexity.

Table of Contents:

1. Basic Concepts and Definitions
2. Analysis of Simple Circuits
3. Nodal & Mesh Equations
4. Introduction to Operational Amplifiers
5. Inductance and Capacitance
6. Sinusoidal Circuit Analysis
7. Phasor Circuit Analysis
8. Average and RMS Values, Complex Power, and Instruments
9. Natural Response
10. Forced and Total Response in RL and RC Circuits
11. Appendix
• Appendix A - Introduction to MATLAB
• Appendix B - A Review of Complex Numbers
• Appendix C - Matrices and Determinants

DOWNLOAD

Read more >>

Power System Analysis by John J. Grainger, William D. Stevenson (inc. Solutions)

Publisher's Note:

Based on William Stevenson's classic, Elements of Power System Analysis, this new senior/graduate text offers a completely modern update of this popular textbook. Covering such topics as power flow, power-system stability and transmission lines, the book teaches the fundamental topics of power system analysis accompanied by logical discussions and numerous examples.

When John Grainger began revising William Stevenson's classic Elements of Power System Analysis, he realized that a complete modernization was in order. By the time he finished, an entirely new book was written, re-titled Power System Analysis. Covering such topics as power flow, power system stability and transmission lines, Power System Analysis teaches the fundamental topics of power system analysis using logical discussions and numerous examples. The new chapter on power system state estimation incorporates the latest developments in the field, and the discussion of system control covers economic factors of line losses and penalty factors. The loyal following earned by Stevenson will surely enjoy the modern power system analysis presented here.

DOWNLOAD

NOTE: This download contains the book in PDF format as well as its solution manuals!!!

Read more >>

SciLab - A Small Sized Open-Source Alternative to MATLAB

Scilab is an open source, cross-platform numerical computational package and a high-level, numerically oriented programming language. It can be used for signal processing, statistical analysis, image enhancement, fluid dynamics simulations, numerical optimization, and modeling and simulation of explicit and implicit dynamical systems. MATLAB code, which is similar in syntax, can be converted to Scilab. Scilab is one of several open source alternatives to MATLAB.

Scilab is a high-level, numerically oriented programming language. The language provides an interpreted programming environment, with matrices as the main data type. By utilizing matrix-based computation, dynamic typing, and automatic memory management, many numerical problems may be expressed in a reduced number of code lines, as compared to similar solutions using traditional languages, such as Fortran, C, or C++. This allows users to rapidly construct models for a range of mathematical problems. While the language provides simple matrix operations such as multiplication, the Scilab package also provides a library of high-level operations such as correlation and complex multidimensional arithmetic. The software can be used for signal processing, statistical analysis, image enhancement, fluid dynamics simulations, and numerical optimization.

Scilab also includes a free package called Xcos (based on Scicos) for modeling and simulation of explicit and implicit dynamical systems, including both continuous and discrete sub-systems. Xcos can be compared to Simulink from the MathWorks.

As the syntax of Scilab is similar to MATLAB, Scilab includes a source code translator for assisting the conversion of code from MATLAB to Scilab. Scilab is available free of cost under an open source license. Due to the open source nature of the software, some user contributions have been integrated into the main program.

DOWNLOAD

Read more >>

Schaum's Outline of Theory and Problems of Matrix Operations

Master matrix operations with Schaum's: the high-performance study guide. It will help you cut study time, hone problem-solving skills, and achieve your personal best on exams! Students love Schaum's Outlines because they produce results. Each year, hundreds of thousands of students improve their test scores and final grades with these indispensable study guides. Get the edge on your classmates. Use Schaum's!

If you don't have a lot of time but want to excel in class, this book helps you:

• Brush up before tests
• Find answers fast
• Study quickly and more effectively
• Get the big picture without spending hours pouring over lengthy textbooks

Schaum's Outlines give you the information teachers expect you to know in a handy and succinct format without overwhelming you with unnecessary details. You get a complete overview of the subject. Plus, you get plenty of practice exercises to test your skill. Compatible with any classroom text, Schaum's lets you study at your own pace and reminds you of all the important facts you need to remember fast! And Schaum's are so complete, they're perfect for preparing for graduate or professional exams.

Inside, you will find:

• 363 detailed problems with step-by-step solutions
• Clear, concise explanations of matrix operations
• Help with Eigenvalues and the QR Algorithm
• A solved-problem approach that teaches you with hands-on help
• Exercises for improving your problem-solving skills

If you want top grades and a thorough understanding of matrix operations, this powerful study tool is the best tutor you can have!

Chapters include:

1. Basic Operations
2. Simultaneous Linear Equations
3. Square Matrices
4. Matrix Inversion
5. Determinants
6. Vectors
7. Eigenvalues and Eigenvectors
8. Functions of Matrices
9. Canonical Bases
10. Similarity
11. Inner Products
12. Norms
13. Hermitian Matrices
14. Positive Definite Matrices
15. Unitary Transformations
16. Quadratic Forms and Congruence
17. Nonnegative Matrices
18. Patterned Matrices
19. Power Methods for Locating Real Eigenvalues
20. The QR Algorithm
21. Generalized Inverses

NOTE:  This is a ‘DjVu’ format. Use “WinDjView” (Just search it. Its available in blog!) to view.

DOWNLOAD

Read more >>