Learning Algorithms | Foundations of ALGORITHMS | CONTENT Of This Book скачать в хорошем качестве

Learning Algorithms | Foundations of ALGORITHMS | CONTENT Of This Book

We Learn and Understand the ALGORITHMS From Beginning to Advance This fifth edition of Foundations of Algorithms retains the features that made the previous editions successful. As in those editions, I still use pseudocode and not actual C++ code. The presentation of complex algorithms using all the details of any programming language would only cloud the students' understanding of the algorithms. Furthermore, the pseudocode should be understandable to someone versed in any high-level language, which means it should avoid details specific to any one language as much as possible. Significant deviations from C++ are discussed on pages 5-7 of the text. This text is about designing algorithms, complexity analysis of algorithms, and computational complexity (analysis of problems). It does not cover other types of analyses, such as analysis of correctness. My motivation for writing this book was my inability to find a text that rigorously discusses complexity analysis of algorithms, yet is accessible to computer science students at mainstream universities such as Northeastern Illinois University. The majority of Northeastern' s students have not studied calculus, which means that they are not comfortable with abstract mathematics and mathematical notation. The existing texts that I know of use notation that is fine for a mathematically sophisticated student, but is a bit terse for Northeastern' s student body. To make this text more accessible, I do the following : Assume that the student's mathematics background includes only college algebra and discrete structures; Use more English description that is ordinarily used to explain mathematical concepts; Give more detail in formal proofs than is usually done; Provide many examples. This text is targeted to a one-semester upper-level undergraduate or graduate course in the design and analysis of algorithms. It is intended to provide students with a basic of understanding of how to write and analyze #computerscience #algorithms #variablesinpython #datascience #datastructures #dynamicprogramming