Computing Algorithms
This book is intended to survey the most important computer algorithms in use today, and to teach fundamental techniques to the growing number of people in need of knowing them. It is intended for use as a textbook for a second course in computer science, after students have acquired basic programming skills and familiarity with computer systems. The book also may be useful for self-study or as a reference for people engaged in the development of computer systems or applications programs, since it contains implementations of useful algorithms and detailed information on performance characteristics and clients. The broad perspective taken makes the book an appropriate introduction to the field.
Data Structures and Algorithms in Python
The design and analysis of efficient data structures has long been recognized as a vital subject in computing and is part of the core curriculum of computer science and computer engineering undergraduate degrees. Data Structures and Algorithms in Python provides an introduction to data structures and algorithms, including their design, analysis, and implementation. This book is designed for use in a beginning level data structures course, or in an intermediate-level introduction to algorithms course.
Programación
In today's digital environment, distributed systems are increasingly present in a wide variety of environments, ranging from public software applications to critical systems. Distributed Systems introduces the underlying concepts, the associated design techniques and the related security issues. Distributed Systems: Design and Algorithms, is dedicated to engineers, students, and anyone familiar with algorithms and programming, who want to know more about distributed systems. These systems are characterized by: several components with one or more threads, possibly running on different processors; asynchronous communications with possible additional assumptions (reliability, order preserving, etc.); local views for every component and no shared data between components.
Computer Algorithms
This book provides a comprehensive introduction to the modern study of computer algorithms. It presents many algorithms and covers them in considerable depth, yet makes their design and analysis accessible to all levels of readers. It is used as the basic text book in almost all american universities.
Knowledge iS POWER
This book cover a series of programming techniques used in sport programming competitions, such as ACM-ICPC, IOI, etc. It is incredible useful in practice because it contains the solution and the code of the problems.
For those who love Java and Computer Science complicated stuffs. This book contains all basic data structures implemented in Java and "good" algorithms.
Algorithms
This is a draft of a book about selected algorithms. The audience in mind are programmers who are interested in the treated algorithms and actually want to create and understand working and reasonably optimized code.
Donald E. Knuth is famous because of his pioneering work in the field of algorithms and programming techniques, "If you think you are a good programmer ... read Knuth Art of Computer Programming. .. If you read the whole book, send me your CV necessarily "- Bill Gates said this, so if you want to work in Microsoft, you should read the four books of Art of Computer Programming, remark that is no easy task!!!!!!!!!.
Donald E. Knuth is famous because of his pioneering work in the field of algorithms and programming techniques, "If you think you are a good programmer ... read Knuth Art of Computer Programming. .. If you read the whole book, send me your CV necessarily "- Bill Gates said this, so if you want to work in Microsoft, you should read the four books of Art of Computer Programming, remark that is no easy task!!!!!!!!!.
Donald E. Knuth is famous because of his pioneering work in the field of algorithms and programming techniques, "If you think you are a good programmer ... read Knuth Art of Computer Programming. .. If you read the whole book, send me your CV necessarily "- Bill Gates said this, so if you want to work in Microsoft, you should read the four books of Art of Computer Programming, remark that is no easy task!!!!!!!!!.
Donald E. Knuth is famous because of his pioneering work in the field of algorithms and programming techniques, "If you think you are a good programmer ... read Knuth Art of Computer Programming. .. If you read the whole book, send me your CV necessarily "- Bill Gates said this, so if you want to work in Microsoft, you should read the four books of Art of Computer Programming, remark that is no easy task!!!!!!!!!.
Mathematics computer science
This book is intended to survey the most important algorithms in use on computers today and to teach fundamental techniques to the growing number of people who are interested in becoming serious computer users.
This book evolved over the past ten years from a set of lecture notes developed while teaching the undergraduate Algorithms course at Berkeley and U.C. San Diego.
This project presents demonstrations of selected computer science algorithms important in bioinformatics, implemented in the spreadsheet program Microsoft Excel. Spreadsheets provide an interesting platform for demonstration of algorithms, since various steps of the calculations can be exposed in a manner that is easily comprehensible to users with little programming experience. The algorithms demonstrated include two approaches to approximate string matching (dynamic programming and Shift-AND numeric approximate matching), Hierarchical Clustering (used in phylogenetic studies and microarray analysis of gene expression), a Naive Bayes Classifier for simulated microarray gene expression data, and a simple Neural Network. These demonstrations are designed to serve as instructional aids in bioinformatics courses
Distributed Graph Algorithms for Computer Networks
Distributed systems consisting of a number of autonomous computing elements con- nected over a communication network that cooperate to achieve common goals have shown an unprecedented growth in the last few decades, especially in the form of the Grid, the Cloud, mobile ad hoc networks, and wireless sensor networks. Design of algorithms for these systems, namely the distributed algorithms, has become an important research area of computer science, engineering, applied mathematics, and other disciplines as they pose different and usually more difficult problems than the sequential algorithms. A graph can be used to conveniently model a distributed sys- tem, and distributed graph algorithms or graph-theoretical distributed algorithms, in the context of this book, are considered as distributed algorithms that make use of some property of the graph that models the distributed system to solve a problem in such systems. This book is about distributed graph algorithms as applied to computer networks with focus on implementation and hopefully without much sacrifice on the theory. It grew out of the need I have witnessed while teaching distributed systems and algo- rithms courses in the last two decades or so. The main observation was that although there were many books on distributed algorithms, graph theory, and ad hoc networks separately, there did not seem to be any book with detailed focus on the intersection of these three major areas of research. The second observation was the difficulty the students faced when implementing distributed algorithm code although the con- cepts and the idea of an algorithm in an abstract manner were perceived relatively more comfortably. For example, when and how to synchronize algorithms running on different computing nodes was one of the main difficulties. In this sense, we have attempted to provide algorithms in ready-to-be-coded format in most cases, showing minor details explicitly to aid the distributed algorithm designer and implementor
Análisis de algoritmos
This book is intended to be a thorough overview of the primary techniques used in the mathematical analysis of algorithms. The material covered draws from classical mathematical topics, including discrete mathematics, elementary real analysis, and combinatorics, as well as from classical computer science topics, including algorithms and data structures. The focus is on “average-case” or “probabilistic” analysis, though the basic mathematical tools required for “worst-case” or “complexity” analysis are covered as well.
Teoría de estructuras de datos, algoritmos y técnicas de programación.
This textbook is a classic in this field, it provides you with an enjoyable introduction to the field of algorithms. We have attempted to make every algorithm accessible and interesting. To help you when you encounter unfamiliar or difficult algorithms, we describe each one in a step-by-step manner. We also provide careful explanations of the mathematics needed to understand the analysis of the algorithms. If you already have some familiarity with a topic, you will find the chapters organized so that you can skim introductory sections and proceed quickly to the more advanced material.
Competitive Programming
This book is a must have for every competitive programmer. Mastering the contents of this book is a necessary (but maybe not sufficient) condition if one wishes to take a leap forward from being just another ordinary coder to being among one of the world’s finest programmers. Typical readers of this book would include: 1. University students who are competing in the annual ACM International Collegiate Programming Contest (ICPC) [66] Regional Contests (including the World Finals), 2. Secondary or High School Students who are competing in the annual International Olympiad in Informatics (IOI) (including the National or Provincial Olympiads), 3. Coaches who are looking for comprehensive training materials for their students, 4. Anyone who loves solving problems through computer programs. There are numerous programming contests for those who are no longer eligible for ICPC, including TopCoder Open, Google CodeJam, Internet Problem Solving Contest (IPSC), etc.
computer algorithms
Fundamentals of Computer Algorithms is a comprehensive book for undergraduate students of Computer Science Engineering. The book comprises chapters on elementary data structures, dynamic programming, backtracking, algebraic problems, lower bound theory, pram algorithms, mesh algorithms, and hypercube algorithms. In addition, the book consists of several real-world examples to understand the concepts better. This book is indispensable for computer engineers preparing for competitive examinations like GATE and IES.
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