Book Description
This Seventh Edition maintains the all the winning qualities that have made A FIRST COURSE IN DIFFERENTIAL EQUATIONS WITH MODELING APPLICATIONS a best-seller over the years. Written in a straightforward, helpful, not-too-theoretical manner Zill's approach keeps students with differing levels firmly in mind. The new edition strikes a perfect balance between the teaching of traditional content and the incorporation of evolving technology.
Customer Reviews:
good stuff.......2007-08-24
the picture for this ad didn't match the cover of the book so i took a chance in buying it, because the isbn numbers matched. the book was correct and the time and condition in which it was recieved was great
Way under rated!!.......2007-05-27
I'm not sure why everyone thinks this book isn't any good. I bought this book for my differential equations class, and thought it was great! I found that the strong point in this book is that the author actually goes through and explains the concept in great detail before any examples are given (unlike most math text, including DEQ books). It helped me a lot because once the author got to an example I felt like I understood what was going on instead of having to go through the example two or three times before I had any idea about the theory involved in the topic. I also found the homework problems to be extremely well planned--almost every problem ended in a tidy compact solution (with the exception of the series solutions to the ODEs which were not nice at all).
I give the book only four stars because of two weaknesses: 1) the derivations of some of the formulas are a bit vague (I had a good time going throw and filling in missing steps and/or writing alternative derivations in the ridiculously large margins of the text) and 2) the RCL circuit was not explained well enough to be workable (I took electromagnetism the same semester and my physics teacher openly mocked the explanation of the RCL circuit in this book).
Overall, I thought this book was great and I was very happy with it. Maybe not the best book if you're trying to learn physics concepts, but it's a math class what do expect?
looking for other introductory DE books? .......2007-04-29
I used an earlier version of Zill years ago to get through my DE course. It was much better than the required text by Boyce/Diprima (a book to be avoided like the plague).
I've listed most, if not all, of the available introductory DE books in my review of Boyce. Link to it: Elementary Differential Equations and Boundary Value Problems , 8th Edition, with ODE Architect CD
Do not blame the book. .......2007-02-06
Do not listen to the bad reviews. This is an excellent text for engineer types. People forget their calc 2 and they blame the book and/or the instructor. You will need int. by parts and partial fractions right of the bat.
I covered about 8 sections of DE's in my calc book during calc 2&3. Most students in the US cover some DE's during calc. The material in the first 2 chapters should be review for most of you. I never got stuck when learning the material, very smooth and intuitive explanations. The only time I needed extra help was during section 5.5 eigenvalues, completely different that presented in a linear algebra class, and during Bessel functions.
The electric circuit problems were great. Zill should add some finance problems, as their are none in the book. Also, this book has great drawings which you will appreciate during the multi-tank mixture problems. As a comparison the Ross DE book has great explanations and prose but no picture for the complicated mixture problems.
This class was not as tough as I thought it would be, the second half of calc3 was tougher. Zill DE 8th edition has all you will need to enjoy this fun and interesting course.
Zill's book is just as good as any other. If you want old school math major explanations, no modern pictures, check out Shepley L. Ross.
Do not blame others for your own shortcomings.
ZERO stars.......2007-02-01
Let me start out by saying I was really looking foward to this class... As a math major, I understand the significance of diffeq. I enjoy math, so this isn't a "I hate math rant." But now, I just can't wait for the quarter to end so I can throw this piece of crap in the trash... I'm not re-selling it because I was taught it is not nice to rip people off. Something the publisher and the author obviously have no problem doing to students. Our teacher recommended the book by Boyce/DiPrima, but I guess the school folded under the pressure and glitter the publisher no doubt used to get the sale.
The "book" starts out "the now classic 7th edition..." Yeah, right. Go ahead and pat yourself on the back, Denny ole boy. Any florid reviews of this "book" HAVE to have come from the publisher, as no student in his/her right mind would buy this "book" unless they HAD TO. First, the explanation of the subject is the WORST I have ever seen (and I HAVE seen others, just a little too late); I would advise not wasting your money on this "book" at all. Just get the Schaum's outline and whatever the library has on the subject and copy your homework problems from someone who made the mistake of buying this "book," or check out the reserve copy in your library. You won't miss anything, trust me.
Another review here said the explanation of Fourier transforms was explained as "like differentiation but different." Check. In fact, most all of the explanations are like that. The first chapter also requires that you be able to compose diffeqs, which is ridiculous since this is supposed to be a "first course." It would still suck if it said "refresher course!" I am lucky to have a good teacher, but even so, I am still stuck trying to slog through this horrible "book" once I get home. I spent more time trying to find a decent explanation just to do the homework, which is consequently, how I found out how bad this "book" is compared to others.
If you read this Dennis Zill, just please quit writing textbooks; you have done enough damage with this trash already.
Book Description
The definitive guide to fixed income valuation and risk analysis
The Trilogy in Fixed Income Valuation and Risk Analysis comprehensively covers the most definitive work on interest rate risk, term structure analysis, and credit risk. The first book on interest rate risk modeling examines virtually every well-known IRR model used for pricing and risk analysis of various fixed income securities and their derivatives. The companion CD-ROM contain numerous formulas and programming tools that allow readers to better model risk and value fixed income securities. This comprehensive resource provides readers with the hands-on information and software needed to succeed in this financial arena.
Download Description
"The definitive guide to fixed income valuation and risk analysis
The Trilogy in Fixed Income Valuation and Risk Analysis comprehensively covers the most definitive work on interest rate risk, term structure analysis, and credit risk. The first book on interest rate risk modeling examines virtually every well-known IRR model used for pricing and risk analysis of various fixed income securities and their derivatives. The companion CD-ROM contain numerous formulas and programming tools that allow readers to better model risk and value fixed income securities. This comprehensive resource provides readers with the hands-on information and software needed to succeed in this financial arena. "
Customer Reviews:
The praise for this book speaks for itself.......2007-07-17
After reading this book I must admit that the praise for this book is well-deserved.
"This first book in the fixed income valuation course provides a solid, up-to-date introduction to the field of interest rate risk, and covers all bases in leading up to the complex area of fixed-income option models. For the more experienced, this is an excellent guide to the state of the art, and provides models coupled with software to make the practical use of the ideas therein feasible."
SANJIV RANJAN DAS, Associate Professor of Finance, Santa Clara University, Coeditor, Journal of Derivatives.
"The trilogy on the fixed income course is the first one with hands on Excel/VBA software for fixed income professionals. These are terrific books for all fixed income practitioners."
FRANK J. FABOZZI, Frederick Frank Adjunct Professor of Finance, Yale University, Editor of the Journal of Portfolio Management.
"The authors are commended in expositing the many interest rate risk measures in a coherent way. This book describes the theories, implementations and applications of these measures with clarity and rigor. Further, the software assists students and practitioners alike to learn about them effectively."
THOMAS HO, President, Thomas Ho Company, Coauthor of The Oxford Guide to Financial Modeling.
"Not only does the book provide an excellent explanation of interest rate risk models, but the included software is very comprehensive and easy to use. Excel is used as the user interface throughout. It is very easy to change the inputs and recalculate a wide variety of interest rate risk models. With simple menu choices, the student or practitioner can explore many different hedging or speculation strategies. The consistent approach used in the whole trilogy of fixed income books/software is a huge advantage."
CRAIG HOLDEN, Associate Professor of Finance, Indiana University, Bloomington, Author of Excel Modeling in Investments.
"A pedagogical and comprehensive treatment of interest rate dynamics. Extremely helpful to understand the theory and build applications."
NASSIM NICHOLAS TALEB, Author of Dynamic Hedging: Managing Vanilla and Exotic Options, and Fooled by Randomness.
Not worth the price.......2006-02-19
There are some formulas, but no explanation how they are arrived at and how they can be applied in practice. I tried to get some sense of it from the VBA programs but the programs are password protected. If you want to learn how to apply the theory in real practice, the following are better alternatives: Advanced modelling by Jackson and Staunton; Implementing derivatives models by Clewlow and Strickland; Analysing & interpreting the yield curve by Choudhry.
The Best Book on IRR Models with Professional Software.......2005-05-14
This book comes with professional quality software on virtually all major models for measuring and managing interest rate risk. The multifactor duration vector models for FRAs and caps/swaptions using the LIBOR models (LFM and LSM) can be used to determine the notional amounts in various interest rate derivative products under arbitrary non-parallel shifts. A lot of this material is new and never been published in journal articles. The authors also give realistic IRR models for Eurodollar futures and Treasury futures that take into account realistic contractual features such as "cheapest to deliver bond" and "conversion factors" and the fact that Treasury futures are discount instruments while Eurodollar futures are add-on instruments. The software computes positions in all kinds of derivatives within seconds. I also liked the last chapter that has the only fast "single summation" solution I have seen on first passage probability models of default-prone coupon bonds given by Longstaff and Schwartz [1995, JOF] and Collin-Dufresne and Goldstein [2002, JOF]. The original solutions had time-consuming double-summations, and this solution also corrects the error in the original paper by Longstaff and Schwartz. The typo in the famous Black and Cox [1976] model is also corrected.
Overall the book is truly comprehensive and explains the materials using easy to understand examples. These examples can be further explored using the user-friendly software. I think the only typo I have found is in Figure 8.2 - the authors have promised to put the new corrected Figure on the website www.fixedincomerisk.com. This website is cool - it has a forum for all three books by these authors (two are forthcoming) and the authors have committed to answer questions themselves using a managed discussion forum. So, you get some free help too!
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Book Description
This text provides an introduction to the entire modeling process. Throughout the book, students practice key facets of modeling, including creative and empirical model construction, model analysis, and model research. The authors apply a proven six-step problem solving process to enhance a student's problem solving capabilities. Rather than simply emphasizing the calculation step, the authors first ensure that students learn how to identify problems, construct or select models, and figure out what data needs to be collected. By involving students in the mathematical process as early as possible, beginning with short projects, the book facilitates their progressive development and confidence in mathematics and modeling.
Customer Reviews:
If ur undecided about pure or applied math, thats the right book to know.........2006-01-16
Well, I was undecided about pure or applied mathematics.
I was more thinking of applied mathematics.
I took a course that uses this book.
Two weeks after the class began, I dropped the course, and I knew I am a pure mathematics guy!
(so the stars are for letting me know about what field I like, not the material presented in the book).
I am not saying anyone who starts reading this book is going to switch to pure mathematics.. it should not be the case, however, I think it has the essence of applied mathematics, so if u really like applied mathematics, ur going to very much appreciate this book.
The Text for Mathematical Models of Reality.......1998-04-07
From discrete to continuous modelling, with many proyects and examples, I like very spacially this book for the undergraduate level. The presentation is very clear, but rigurous, making experience the reader through the models. It focuses on the interpretation and ends with some tools for modelbuilding. For a start of mathematical model understanding of reality this book is specially good, clear and completely well written. Good job Mr. Giordano and Weir! See also: Mesterton-Gibbons:An aproach to Mathematical Modelling, Fowler: Mathematical Models in the Sciences, Beltrami: Mathematics for Dynamical Modeling, Morrison: The Art of Modeling Dynamical Systams and Giordano: Differential Equations a Modeling Aproach.
Book Description
This is the only book that teaches all aspects of modern mathematical modeling and that is specifically designed to introduce undergraduate students to problem solving in the context of biology. Included is an integrated package of theoretical modeling and analysis tools, computational modeling techniques, and parameter estimation and model validation methods, with a focus on integrating analytical and computational tools in the modeling of biological processes. Divided into three parts, it covers basic analytical modeling techniques; introduces computational tools used in the modeling of biological problems; and includes various problems from epidemiology, ecology, and physiology. All chapters include realistic biological examples, including many exercises related to biological questions. In addition, 25 open-ended research projects are provided, suitable for students. An accompanying Web site contains solutions and a tutorial for the implementation of the computational modeling techniques. Calculations can be done in modern computing languages such as Maple, Mathematica, and MATLAB®.
Book Description
The emphasis of this book lies on the teaching of mathematical modeling rather than simply presenting models. To this end the book starts with the simple discrete exponential growth model as a building block, and successively refines it. This involves adding variable growth rates, multiple variables, fitting growth rates to data, including random elements, testing exactness of fit, using computer simulations and moving to a continuous setting. No advanced knowledge is assumed of the reader, making this book suitable for elementary modeling courses. The book can also be used to supplement courses in linear algebra, differential equations, probability theory and statistics.
Customer Reviews:
Simply Awful.......2003-04-09
Incredibly poorly written book. This is NOT a general introduction to M&S. A more appropriate title for this book would be "A Course in Biological Modeling". If you are looking for an introduction to numerous biological modeling systems then this is your book. If you want a book that overviews the wonderfully complex world of modeling then look elsewhere. (I'm still looking - any help out there). Point is that modeling is much more than understanding birth and death rates of Sand Hill Cranes. Modeling encompasses all fields of Engineering and Physics of which this book hardly mentions. (As you may detect I am particularly annoyed about the misleading title of this book. )
Also, take the authors math expectation in the forward seriously. Make sure you math skills are current before tackling this book. There is a lot of assumption and little equation development. If your skills are rusty you'll find yourself frequently bewildered by how they got from A to B.
I am completing a class on M&S using this book and I can honestly say that I do not know of one student in a class of 25 that is happy with this text.
Highly Recommended for Beginners.......2001-02-26
This is a highly recommended book for those who wish to learn the art of mathematical modeling from scratch. The examples used to illustrate important ideas and concepts in mathematical modeling range from simple to relatively advanced. I would rate a book on mathematical modeling, especially an introductory one (for beginners), as highly recommended, if it emphasizes more on how to use mathematics to obtain answers to practical questions rather than on techniques and tricks to solve equations (even though these equations may have some connection with practical problems).
Superb........1999-09-04
To break it down.
1. The authors write with a clarity and elegance that is almost universally absent in math/science texts. The book is beautifully paced. Anybody thinking about writing a technical book would do well to read this before starting out.
2. The mathematics is second to the modelling. They move from simple examples towards the formal mathematics, nothing is introduced without explanation. This is a vast improvement over so many other texts that are happy to derive the math first and then show an example, which is no way to engage the mind. It is the only text I have come across that presents differential equations and continuous stochastic processes in a palatable manner.
3. The exercises have been well thought out, and not just thrown in at the end of each chapter, reflecting the authors' teaching experience, and leave you with any number of directions in which to take your own steps in modelling.
It is simply one of the best written and engaging technical books I have read this or any other year. This books shows that one can write clearly about mathematics. If you really want to understand and ground yourself in math modelling and simulation, this is where to start.
Book Description
This book is designed to introduce students to the basics of structural equation modeling through a conceptual, nonmathematical approach. The few mathematical formulas included are used in a conceptual or illustrative nature, rather than a computational one. The book features examples from LISREL and EQS. For that reason, the book can also be used as a beginning guide to learning how to set up input files to fit the most commonly used types of structural equation models with these programs. Intended as an introduction for graduate students or researchers in psychology, education, business, and other applied social and health sciences. The only prerequisite is a basic statistics course.
Customer Reviews:
A real "First Course".......2006-04-23
If you haven't been exposed to SEM , this book is right for you. Basic, straightforward, well planned and nonmathematical. However, this book cannot be the "only" book in your library if you are planning to go deep in SEM. This book is a good step for moving to intermediate or advanced levels.
The book is well desinged. It starts with fundamentals of SEM and EQS and LISREL programs. This book is NOT an EQS or LISREL reference, however, in each chapter, Raykov and Marcoulides cover an example showing the syntax and output of each program. The syntax and the output are deeply explained.
After introducing SEM and EQS and LISREL, the authors start to cover different approaches in SEM. Path analysis, Confirmatory Factor Analysis, Structural Regression Models and finally there is chapter about Latent Change Analysis.
In overall, the book is useful for only beginners as the authors' claim.
Books:
- Algebra and Trigonometry with Analytic Geometry (11th Edition with CD-ROM)
- An Introduction to Computational Fluid Dynamics: The Finite Volume Method (2nd Edition)
- An Introduction to Credit Risk Modeling (Chapman & Hall/Crc Financial Mathematics Series)
- An Introduction to Systems Biology: Design Principles of Biological Circuits (Chapman & Hall/Crc Mathematical and Computational Biology Series)
- An Introduction to Systems Biology: Design Principles of Biological Circuits (Chapman & Hall/Crc Mathematical and Computational Biology Series)
- Animal Architects: Building and the Evolution of Intelligence
- Applied Longitudinal Data Analysis: Modeling Change and Event Occurrence
- Applied Numerical Methods with MATLAB for Engineers and Scientists
- Applied Numerical Methods with MATLAB for Engineers and Scientists
- Applied Numerical Methods with MATLAB for Engineers and Scientists
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