






This is the book, May 9, 2011
The chapter on continuations has made me a lot of $$. Not too verbose but to the point. many other books might cover similar material but will leave you hanging with incomplete discussion.









2 of 7 people found the following review helpful
Dangerous Book, May 5, 2011
The coverage on flags is a joke and enough to give this book a 1 star rating. You will not be able to trade any better after reading this book. It would be dangerous to think otherwise. This book has the depth of a dictionary.









5 of 6 people found the following review helpful
Great book, most won't appreciate it though, December 26, 2010
I think this is a book that inexperienced traders will probably not appreciate. Very succinct and the things mentioned in this book seems to confirm my own experiences in the market. The author of this book is a Market Wizard, not some flybynight guru without a track record. The book consists mostly of exercises, looking at charts and putting in the work. Do not expect to sit passively and read about inspirational stories or learning a magical system that will make you profits. To become a good trader you need to put in the work.









30 of 46 people found the following review helpful
Should really be called Intro Data Structures and Algorithms, July 7, 2005
I knew most of the stuff before I opened the first page. It's basically teaching data structures 101 using a few watered down bioinformatic problems for motivation. The lack of applied problems involving real data was most disappointing. It does have a lot of the type questions that some nerd (me one day :P) might ask you on a job interview. The questions are also a good way to kill time if you have nothing better to do. I give the book credit for stressing dynamic programming. I believe that this is one of the most important concepts in problem solving.
3 stars because I think it is a fairly good introduction for fledgling computer scientists BUT not a good reference for comptuer scientists trying to apply their skills to solve bioinformatic problems.









1 of 1 people found the following review helpful
Bought this to complete the series..., July 7, 2005
I don't intend to read this book from front to back (well maybe one day if I get really bored) but I think this book does a very good job explaining the algorithm without getting obsessed with overly formal mathematical games. In my opinion the graphs are the most important part of the series, since these are the algorithms and data structures that usually AREN'T included in a programming language's libraries; STL for example. You will find many of these topics in a mathematics and statistics program (how I first encountered them) so the book does get mathematical, but out of necessity.
4 out of 5 stars for sometimes being unclear.









0 of 1 people found the following review helpful
Dry and Fragmented, May 1, 2005
This book was quite a disappointment. The equations the author throws at the reader are extremely abstract and do not get elaborated. I don't think you will be able to implement any of these algorithms in a language like C++ because many details are missing. Most explanations are not selfcontained; they usually go along the lines of "[author] uses this function to do blah blah..."









8 of 10 people found the following review helpful
Good intro physics book, October 31, 2003
I used the previous edition but I looked at this edition and the only thing that has changed from editions is the cover, the formatting, and the reordering of the problems. It is a great book in retrospect. There were a few moments where I really disliked this book. The first half of the book was a breeze. My review of the second half (E&M) is a little mixed. I felt some of the concepts were not explained clearly enough and I spent way too much time and effor trying to figure out what was going on. Overall though the book explains things pretty thoroughly. The problems go from easy to hard. Do all the odd problems sequentially and you should be good. You don't need calculus really, but it is pretty hard to understand some of the E&M stuff without it. Optics section was rough and I spent way too much time on it. Special relativity and quantum mechanics is just a survey. The quantum and relativity part of the book doesn't really explain anything precisely and instead tries to convince the reader with qualitative arguments. The equations used are special cases with nice closed form solutions. I think the last few chapters of the book is just filler.









2 of 2 people found the following review helpful
Very mediocre textbook, October 31, 2003
Two things amaze me about this book: #1 This book is in it's eigth edition #2 Prentice Hall actually published this book Wow I can't believe quality control at Prentice Hall allowed this one to slip through. It has no proof anywhere, rather it just throws equations at the reader and tries to convince the reader through examples. Several key probability and statistics concepts are no where present in this book. I was able to fill in the gaps through prior experience. I think the author must have assumed a very low mathematical capability of the reader which is strange because both business and economics get very mathematical. The data exercises are for the most part uninteresting. Also my copy has serious printing errors on several pages and the binding is weak.









8 of 11 people found the following review helpful
Nice intro to linear algebra, October 31, 2003
I pretty much read this entire book front to back. It covers most basic linear algebra concepts. I don't understand why this book is getting such a poor review. It's concise and to the point. It's mathematically accurate and the problems can be challenging. The notation can take a while to get used to but it is mathematical convention. I found the part on fourier series to be very useful for studying more advanced math topics and for engineering.









5 of 7 people found the following review helpful
Questions too easy, October 31, 2003
These questions are too easy. Don't kid yourself if you score high on a princeton review practice test. Kaplan has more difficult questions that are comparable to ETS.

