Numerical Methods, Algorithms and Tools in C# Review

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Numerical Methods, Algorithms and Tools in C# Review-In code, bottom page 16, "var" should be "var2"
-In code, top of page 17, uses "int, i, j" in an example about "string, x, y"
-in text, page 18, "...the variable i can accept a all the values"
-in code, page 19, missing quotation marks
-in code, page 22, "In32" should be "Int32"
-in code, page 23, uses "i" and "I" interchangeably (case matters in c#)
-in code, page 32, "intefaces" should be "interfaces"
-in text, page 57, "The latter contains contains interfaces..."
These errors aren't even all the errors in chapter 1, let alone the rest of the book.
This lack of attention to detail is inexcusable. This book must have been rushed to meet a deadline. It should not have been published in its current state. Do not purchase this edition of this book. The book's purpose is to solve complex mathematical problems through C# programming - but its coded examples often will not compile due to these careless mistakes.
If the author was not able to catch these simple mistakes, I do not trust his ability to avoid mistakes in the more complex areas.Numerical Methods, Algorithms and Tools in C# OverviewComprehensive Coverage of the New, Easy-to-Learn C#Although C, C++, Java, and Fortran are well-established programming languages, the relatively new C# is much easier to use for solving complex scientific and engineering problems. Numerical Methods, Algorithms and Tools in C# presents a broad collection of practical, ready-to-use mathematical routines employing the exciting, easy-to-learn C# programming language from Microsoft.The book focuses on standard numerical methods, novel object-oriented techniques, and the latest Microsoft .NET programming environment. It covers complex number functions, data sorting and searching algorithms, bit manipulation, interpolation methods, numerical manipulation of linear algebraic equations, and numerical methods for calculating approximate solutions of non-linear equations. The author discusses alternative ways to obtain computer-generated pseudo-random numbers and real random numbers generated by naturally occurring physical phenomena. He also describes various methods for approximating integrals and special functions, routines for performing statistical analyses of data, and least squares and numerical curve fitting methods for analyzing experimental data, along with numerical methods for solving ordinary and partial differential equations. The final chapter offers optimization methods for the minimization or maximization of functions.Exploiting the useful features of C#, this book shows how to write efficient, mathematically intense object-oriented computer programs. The vast array of practical examples presented can be easily customized and implemented to solve complex engineering and scientific problems typically found in real-world computer applications.

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