Takeshi Tokuyama – Algorithms and Computation
Published: 2008-01-16 | ISBN: 3540771182 | PDF | 946 pages | 9.17 MBThis book constitutes the refereed proceedings of the 18th International Symposium on Algorithms and Computation, ISAAC 2007, held in Sendai, Japan, in December 2007. The 77 revised full papers presented together with two invited talks were carefully reviewed and selected from 220 submissions. The papers included topical sections on graph algorithms, computational geometry, complexity, graph drawing, distributed algorithms, optimization, data structure, and game theory.
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برچسب ها: Algorithms and Computation، Computation، Algorithms،
The starting point in the formulation of any numerical problem is to take an intuitive idea about the problem in question and to translate it into precise mathematical language. This book provides step-by-step descriptions of how to formulate numerical problems so that they can be solved by existing software. It examines various types of numerical problems and develops techniques for solving them. A number of engineering case studies are used to illustrate in detail the formulation process. The case studies motivate the development of efficient algorithms that involve, in some cases, transformation of the problem from its initial formulation into a more tractable form.
برچسب ها: Algorithms،
The book contains basic concepts, several applications of Genetic Algorithms and solved Genetic Problems using MATLAB software and C/C++.
The salient features of the book include – detailed explanation of Genetic Algorithm concepts, – numerous Genetic Algorithm Optimization Problems, – study on various types of Genetic Algorithms, – implementation of Optimization problem using C and C++, – simulated solutions for Genetic Algorithm problems using MATLAB 7.0, – brief description on the basics of Genetic Programming, – application case studies on Genetic Algorithm on emerging fields.
برچسب ها: Genetic Algorithms، Algorithms،
Python Algorithms explains the Python approach to algorithm analysis and design. Written by Magnus Lie Hetland, author ofBeginning Python, this book is sharply focused on classical algorithms, but it also gives a solid understanding of fundamental algorithmic problem-solving techniques.
- The book deals with some of the most important and challenging areas of programming and computer science, but in a highly pedagogic and readable manner.
- The book covers both algorithmic theory and programming practice, demonstrating how theory is reflected in real Python programs.
- Well-known algorithms and data structures that are built into the Python language are explained, and the user is shown how to implement and evaluate others himself.
برچسب ها: python، Algorithms،
S,…er | 2001 | ISBN: 1852334401 | 438 pages | Djvu | 4,3 MB
This volume provides students, researchers and applicationdevelopers with the knowledge and tools to get the most out of using neural networks and related data modelling techniques to solve pattern recognition problems. Each chapter covers a group of related pattern recognition techniques and includes a range of examples to show how these techniques can be applied to solve practical problems.”…provides a unique collection of many of the most important pattern recognition algorithms. With its use of compact and easily modified MATLAB scripts, the book is ideally suited to both teaching and research.” Christopher Bishop, Microsoft Research, Cambridge, UK “…a welcome addition to the literature on neural networks and how to train and use them to solve many of the statistical problems that occur in data analysis and data mining” Jack Cowan, Mathematics Department, University of Chicago, US “If you have a pattern recognition problem, you should consider NETLAB; if you use NETLAB you must have this book.” Keith Worden, University of Sheffield, UK
برچسب ها: Algorithms،
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