C++ and Object-Oriented Numeric Computing for Scientists and Engineers

There is widespread agreement that Kernighan & Richie's introduction to C is one of the best books on any programming language ever written. Sadly, no book on C++ has achieved this distinction. The complexity of the language is mostly to blame. Personally, I am averse to any 1000-page "primer" that aims to explain C++ from scratch up to intermediate level, with plenty of diversions, illustrations of secondary language features and a menagerie of typographic symbols, all the same getting to discuss classes at page 500. Those are better thought of as bloated references. Instead, C++ a third language, and C a second if only because a) C is not for absolute beginners and b) C programming style is often found in C++ legacy code. But if this is the case, the reader can read and understand succinct explanations of the new features of C++, and be quickly reminded of its similarities with C, or warned of the differences.If you agree with my own preferences, this book is for you. It goes to the point and follows a linear, focused thread. Knowledge of C is not strictly required, but I can't see how can you accept double pointers as your personal saviours if you haven't seen them before. It's rather complete, but not all-encompassing. Topics are discussed clearly and the organizing principles are emphasized first, with the inevitable exceptions coming later. Examples are many. They are sometime thought in C but written in C++, which is no mortal sin. Because of the plain, assured style, and the approach to its subjects, the book reminds me of K&R. Not a small compliment to pay.The book also offers advice on programming style, mostly with an eye on numerical computing. It can be used a very high-level reference, to be complemented by a comprehensive one (my favorite is C++ in a nutshell). And each advanced subject of C++ deserves its own book, especially templates and metaprogramming. Avoid the "primers".Summing up, this is not a book for complete beginners, but more a textbook for a course or self-instruction. It's by no means a first and last book on C++. Such book has not been written yet. Know your needs and what you get.

It's a huge topic and the book does offer a promising title. But it doesn't deliver, at least it confused about what is object-oriented.Writing stuff neat and reusable is not quite OO; when you are talking about a field, ex. numeric computing, framework or the concept of organzing that much of stuff depend on for the rest of your life is more important than some specific topic like vector, matrix, etc and their implementation. They are dead objects, at most you can call them numeric computing, but no OO please.By far I havn't seen any decent OO numeric computing book, 'cause most of these numeric stuff was first used by fortran ppl for long long time without any OO used. IMHO, fortran should be dead 5-10 years ago, but it's not, such a shame.I think one feasible way to start OO computing is to learn using the latest c++ tools (ex. boost, blitz, loki) to develope your own framework for your computing eviorment.

The "introduction" to C++ is done in stages as each basic feature of the language becomes relevant for numerically intensive computation. But the explanations are very brief -- accurate but with limited explanation. These ares of the book might be best for someone who knows C++ basics or is using a companion text for learning C++. The application of C++ to useful computational issues and algorithms is excellent - starting with simple examples and building logically to more complex methods and issues. The exercises are useful. Even simple problems are not that simple and very illustrative when the user gets the exercise "solved" with a working program. The C++ programming style is acceptable and clear but sparse rather than elegant. I think that instructors who teach C++ would want some style changes in the code and more annotation. However I don't think those improvements are necessary for the issues and methods being explained by the author. The book seems to be what it says it is -- a very good introduction to numeric programming using C++. The author says that using C++ may be clumsy at first, but pays off handsomely in the long term. You will eventually gain efficiency in coding and speed of execution that surpasses other programming languages. There are some approaches to complex problems that you can use with an OOP language that would be much more tedious in older languages like FORTRAN, Algol, C or PL-1 (which I used years ago). A prime example is that a method for computing a solution using integers can be "inherited" by a method for real numbers, extra precision computation, complex numbers, etc. Each "new" method requires only modest additoins/changes from the "parent" method instead of a whole new "subroutine" with all the equations done again from scratch. So far (about the first 25% of the book), it looks like he is right..

If studying computational engineering, this book is a nice addition to one of the standard Deitel texts or similar. It maybe isn't quite as comprehensive on all C++ features as a 2000 page text, but it offers nice insights/ examples from a more engineering-oriented perspective. I read both and get a lot out of the combination of the two.One issue is that the accompanying code could be more well put-together. Some of the code in the book is not provided online and overall it would be nice to be able to quickly run the code shown in the book without having to type it all up and write your own dependent header files and such. This book might also be out of date with the 2011 C++ standard, which may or may not be an issue to some people.

A great book, great example, but outdated. If someone updates it according to c++20, it will become the bestseller among computational community almost immediately.

Scritto in maniera chiara, coinxcisa ed oserei dire esaustiva,anche se il C++ è un mondo infinito come tutta la programmazione ed i limiti sono la fantasia. Ottimo libro lo consiglio

Simple et qui va droit au but pour l'ecriture de calcul numerique. Un chapitre est consacre a l'ecriture de fichiers makefile. Pas de support a MS Visual Studio. Mais ca ne change rien. Il vaut le coup.