Computer algorithms

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  • .An Introduction to Computational Physics Numerical simulation is now an integrated part of science and technology. Now in its second edition, this comprehensive textbook provides an introduction to the basic methods of computational physics, as well as an overview of recent progress in several areas of scientific computing. The author presents many step-by-step examples, including program listings in JavaTM , of practical numerical methods from modern physics and areas in which computational physics has made significant progress in the last decade.

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  • Bio-inspired computational algorithms are always hot research topics in artificial intelligence communities. Biology is a bewildering source of inspiration for the design of intelligent artifacts that are capable of efficient and autonomous operation in unknown and changing environments. It is difficult to resist the fascination of creating artifacts that display elements of lifelike intelligence, thus needing techniques for control, optimization, prediction, security, design, and so on.

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  • (BQ) Computational network science seeks to unify the methods used to analyze these diverse fields. This book provides an introduction to the field of network science and provides the groundwork for a computational, algorithm-based approach to network and system analysis in a new and important way.

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  • Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Research Article NML Computation Algorithms for Tree-Structured Multinomial Bayesian Networks

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  • While computational estimation of difficulty of words in the lexicon is useful in many educational and assessment applications, the concept of scalar word difficulty and current corpus-based methods for its estimation are inadequate. We propose a new paradigm called word meaning maturity which tracks the degree of knowledge of each word at different stages of language learning. We present a computational algorithm for estimating word maturity, based on modeling language acquisition with Latent Semantic Analysis. ...

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  • Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành y học dành cho các bạn tham khảo đề tài: Computing algorithm for dairy sire evaluation on

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  • This book is an introduction to computer science. Computer science is the study of computer hardware, algorithms, and data structures and how they fit together to provide information systems. Each of these topics can be studied at various levels. For example, physicists study the properties of matter that allow hardware components to be designed, electrical engineers study how the components can be combined to produce circuits, and computer engineers study how circuits can be combined to produce computers.

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  • Suitable for a one- or two-semester undergraduate-level electrical engineering, computer engineering, and computer science course in Discrete Systems and Digital Signal Processing. Assumes some prior knowledge of advanced calculus, linear systems for continuous-time signals, and Fourier series and transforms. Giving students a sound balance of theory and practical application, this no-nonsense text presents the fundamental concepts and techniques of modern digital signal processing with related algorithms and applications.

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  • This book is to examine the most important algorithms in use on today's computers and to teach the basic techniques with the increasing number who was interested in computer users becoming increasingly serious. It is appropriate for use as a textbook for a course Monday, Tuesday or Wednesday in the computer Science: After students have had some programming skills and familiarity computer system, but before they have advanced specialized courses field of computer science or computer applications.

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  • Computational fluid dynamics (CFD) is concerned with the efficient numerical solution of the partial differential equations that describe fluid dynamics. CFD techniques are commonly used in the many areas of engineering where fluid behavior is an important factor. Traditional fields of application include aerospace and automotive design, and more recently, bioengineering and consumer and medical electronics.

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  • Algorithms play the central role both in the science and practice of computing. Recognition of this fact has led to the appearance of a considerable number of textbooks on the subject. By and large, they follow one of two alternatives in presenting algorithms. One classifies algorithms according to a problem type. Such a book would have separate chapters on algorithms for sorting, searching, graphs, and so on. The advantage of this approach is that it allows an immediate comparison of, say, the efficiency of different algorithms for the same problem.

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  • Data Streams: Models and Algorithms primarily discusses issues related to the mining aspects of data streams. Recent progress in hardware technology makes it possible for organizations to store and record large streams of transactional data. For example, even simple daily transactions such as using the credit card or phone result in automated data storage, which brings us to a fairly new topic called data streams.

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  • A comprehensive treatment focusing on the creation of efficient data structures and algorithms, this text explains how to select or design the data structure best suited to specific problems. It uses C++ as the programming language and is suitable for second-year data structure courses and computer science courses in algorithmic analysis.

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  • 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. It is appropriate for use as a textbook for a second, third or fourth course in computer science: after students have acquired some programming skills and familiarity with computer systems, but before they have specialized courses in advanced areas of computer science or computer applications.

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  • Algorithm is used to define the notion of decidability. It is a set of rules that precisely defines a sequence of operations. This is essential for computers to process information. Computer programs contain algorithms that detail specific instructions a computer should perform to carry out a specified task. The traditional computer program performs specific instructions sequentially, and uses crisp values of information which do not support uncertainties.

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  • This book presents several recent advances on Evolutionary Computation, specially evolution-based optimization methods and hybrid algorithms for several applications, from optimization and learning to pattern recognition and bioinformatics. Concerning evolutionbased optimization methods, this book presents diverse versions of genetic algorithms, genetic programming, and performance studies and analyses, as well as several particle swarm optimizers and hybrid approaches using neural networks and artificial immunological systems for multi-objective optimization....

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  • Advances and Applications in Mobile Computing targets to help mobile solutions related scholars, developers, engineers and managers. The main contribution of this book is enhancing mobile software application development stages as analysis, design, development and test. Also, recent mobile network technologies such as algorithms, decreasing energy consumption in mobile network, and fault tolerance in distributed mobile computing are the main concern of the first section of the book.

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  • BK TP.HCM Ho Chi Minh City University of Technology Faculty of Computer Science and Engineering BK TP.HCM Data Structures and Algorithms – C++ Implementation Huỳnh T n t Email: Home Page: .Pointer in C++ Declaration Node *ptr; Create an object ptr = new Node(); A pointer usage printf(“Data in node: %d”, ptr-data); Destroy an object delete ptr; NULL pointer ptr = NULL; ??? ptr ptr ??? ptr ptr Faculty of Computer Science and Engineering – HCMUT Slide 2 .

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  • Tham khảo sách 'beginning algorithms', công nghệ thông tin, kỹ thuật lập trình phục vụ nhu cầu học tập, nghiên cứu và làm việc hiệu quả

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  • Evolutionary computation has been widely used in computer science for decades. Even though it started as far back as the 1960s with simulated evolution, the subject is still evolving. During this time, new metaheuristic optimization approaches, like evolutionary algorithms, genetic algorithms, swarm intelligence, etc., were being developed and new fields of usage in artificial intelligence, machine learning, combinatorial and numerical optimization, etc., were being explored.

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