Description: SSIM Index, Version 1.0
Copyright(c) 2003 Zhou Wang
All Rights Reserved.
The author was with Howard Hughes Medical Institute, and Laboratory
for Computational Vision at Center for Neural Science and Courant
Institute of Mathematical Sciences, New York University, USA. He is
currently with Department of Electrical and Computer Engineering,
University of Waterloo, Canada.-SSIM Index, Version 1.0
Copyright(c) 2003 Zhou Wang
All Rights Reserved.
The author was with Howard Hughes Medical Institute, and Laboratory
for Computational Vision at Center for Neural Science and Courant
Institute of Mathematical Sciences, New York University, USA. He is
currently with Department of Electrical and Computer Engineering,
University of Waterloo, Canada.
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Author:zhoujunming |
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Description: 电磁场二维有限元分析软件FEMM的开发源代码。FEMM软件是一款简单、快捷、计算准确的工程电磁场的有限元分析工具。通过对软件架构的了解，可以帮助大家更好的了解有限元分析软件的工作流程，为完成自己的有限元开发源代码提供不可多得的参考。此代码的应用并不局限于电磁场领域。-Finite Element Method Magnetics (FEMM) is a software package for solving electromagnetic problems using FEM. The program addresses 2D planar and 3D axisymmetric linear and nonlinear harmonic low frequency magnetic and magnetostatic problems and linear electrostatic problems. It is a simple, accurate, and low computational cost open source product,
popular in science, engineering, and education. In this paper the main characteristics and functions of the package are presented. In order to demonstrate its use and exhibit the aid it offers in the study of electromagnetics a series of illustrative examples are given. The aim of the paper is to demonstrate the capability of FEMM to meet as a
complementary tool the needs of science and technology especially when factors like the economic cost or the software complexity do not allow the use of commercial products. Platform: |
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Author:张华 |
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Description: 《Evolutionary Algorithms for Solving Multi-Objective Problems》这是一本有关多目标进化的非常值得一看的书，里面有测试标准，测试函数等内容-The solving of multi-objective problems (MOPs) has been a continuing effort by humans in many diverse areas, including computer science, engineering, economics, finance, industry, physics, chemistry, and ecology, among others. Many powerful and deterministic and stochastic techniques for solving these large dimensional optimization problems have risen out of operations research, decision science, engineering, computer science and other related disciplines. The explosion in computing power continues to arouse extraordinary interest in stochastic search algorithms that require high computational speed and very large memories. A generic stochastic approach is that of evolutionary algorithms (EA). Such algorithms have been demonstrated to be very powerful and generally applicable for solving different single objective problems. Their fundamental algorithmic structures can also be applied to solving many multi-objective problems. In this book, the various features of multi-objective evoluti Platform: |
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Author:海 |
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Description: an introduction to modeling and simulation of particulate flows computational science and engineering Platform: |
Size: 12721152 |
Author:mon |
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Description: 模式理论，从表示到推导。在模式识别中知识的表示通常是一个非常难的问题，这本书详细地描述了如何表达图像中的各个模式，并用得到的模式表达进行模式识别的推导。-This book is to be an accessible book on patterns, their representation, and inference. There
are a small number of ideas and techniques that, when mastered, make the subject more
accessible. This book has arisen from ten years of a research program which the authors
have embarked upon, building on the more abstract developments of metric pattern theory
developed by one of the authors during the 1970s and 1980s. The material has been taught
over multiple semesters as part of a second year graduate-level course in pattern theory,
essentially an introduction for students interested in the representation of patterns which are
observed in the natural world. The course has attracted students studying biomedical engineering,
computer science, electrical engineering, and applied mathematics interested in speech
recognition and computational linguistics, as well as areas of image analysis, and computer
vision. Platform: |
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Author:kkk |
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Description:
I am submitting my Computational science and engineering assignment #3 based on SVD/PCA.The zip file contains matlab codes of Exercise no:1 and Exercise no:3 as program_1.m and program_3.m files respectively.
I have made a separate reports for the above said two exercises as Report_problem1 and Report_problem3, both in pdf format.
Please find the attached zip file.
-
I am submitting my Computational science and engineering assignment #3 based on SVD/PCA.The zip file contains matlab codes of Exercise no:1 and Exercise no:3 as program_1.m and program_3.m files respectively.
I have made a separate reports for the above said two exercises as Report_problem1 and Report_problem3, both in pdf format.
Please find the attached zip file.
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Author:Nitishnitts |
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Description: MATLAB教学用书或高等数学、线性代数、计算方法、复变函数、概率统计、数学规划、偏微分方程解法以及动态仿真等课程的教学辅导书，也可作为科研人员及工程计算人员学习和使用MATLAB的参考书-MATLAB books or teaching advanced mathematics, linear algebra, computational methods, complex variable functions, probability and statistics, mathematical programming, dynamic simulation of partial differential equation, and counseling and other teaching books, can also be calculated as the scientific and engineering staff to learn and reference books to use MATLAB Platform: |
Size: 13027328 |
Author:dbb |
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Description: MATLAB is a high-performance language for technical computing. It integrates computation, visualization, and programming in an easy-to-use environment where problems and solutions are expressed in familiar mathematical notation. Its wide range of commands, functions, and language constructs permit users to solve and analyze difficult computational problems from science and engineering without programming in a general purpose language. Typical uses include:
1. Math and computation
2. Algorithm development
3. Modeling, simulation and prototyping
4. Data analysis, exploration and visualization
5. Scientific and engineering graphics
6. Application development, including graphical user interface building
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Size: 7477248 |
Author:santhu |
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Description: In the computer science field of artificial intelligence, a genetic algorithm (GA) is a search heuristic that mimics the process of natural evolution. This heuristic (also sometimes called a metaheuristic) is routinely used to generate useful solutions to optimization and search problems.[1] Genetic algorithms belong to the larger class of evolutionary algorithms (EA), which generate solutions to optimization problems using techniques inspired by natural evolution, such as inheritance, mutation, selection, and crossover.
Genetic algorithms find application in bioinformatics, phylogenetics, computational science, engineering, economics, chemistry, manufacturing, mathematics, physics, pharmacometrics and other fields. Platform: |
Size: 3072 |
Author:Hutama Bramantyo |
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Description: 蒙特·卡罗方法（Monte Carlo method），也称统计模拟方法，是二十世纪四十年代中期由于科学技术的发展和电子计算机的发明，而被提出的一种以概率统计理论为指导的一类非常重要的数值计算方法。是指使用随机数（或更常见的伪随机数）来解决很多计算问题的方法。与它对应的是确定性算法。蒙特·卡罗方法在金融工程学，宏观经济学，计算物理学（如粒子输运计算、量子热力学计算、空气动力学计算）等领域应用广泛。-Monte Carlo (Monte Carlo method), also known as statistical simulation method, is twenty mid-1940s due to the development of science and technology and computer inventions, and was raised in a statistical probability theory as a guide very important class of numerical methods. Is the use of a random number (or pseudo random number is more common) calculated to solve many problems. It corresponds with the deterministic algorithm. Monte Carlo methods are widely used in financial engineering, macroeconomics, computational physics (such as particle transport calculations, quantum thermodynamics, aerodynamics calculation) and other fields. Platform: |
Size: 12647424 |
Author:肖罗 |
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Description: 本书可以作为数学、应用数学、计算数学、信息与计算科学等专业的常微分方程课程的教材，还可以作为其他理工科学生数学实验与数学建模课程的教学参考书。本书所附的光盘内的原程序一般都具有通用性，可以作为应用工具或开发新解题方法应用程序的参考。-This book can serve as mathematics, applied mathematics, computational mathematics, information and computing science teaching professional courses ODE can also be used as a teaching reference other science and engineering students to experiment with mathematical modeling mathematics curriculum. The book accompanying the disc in the original program generally have versatility, can be used as a reference application tools or develop new problem-solving method application. Platform: |
Size: 288768 |
Author:宋杰 |
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Description: In the computer science field of artificial intelligence, a genetic algorithm (GA) is a search heuristic that mimics the process of natural selection. This heuristic (also sometimes called a metaheuristic) is routinely used to generate useful solutions to optimization and search problems.[1] Genetic algorithms belong to the larger class of evolutionary algorithms (EA), which generate solutions to optimization problems using techniques inspired by natural evolution, such as inheritance, mutation, selection, and crossover.
Genetic algorithms find application in bioinformatics, phylogenetics, computational science, engineering, economics, chemistry, manufacturing, mathematics, physics, pharmacometrics and other fields. Platform: |
Size: 21504 |
Author:MagicLeno |
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Description: 并行计算就是在并行计算机或分布式计算机等高性能计算系统上所作的超 级计
算，其物质基础是高性能并行计算机 （ 包括分布式网络计算机）。 本章首先从当代科学与工程问题的计算需求出发，先简单地讨论并行计算与计算科学；然后讨论并行计算机系统的互连，包括静态互连网络、动态互连网络和标准互连网络；最后讨论并 行 计 算 机 的 系 统 结 构 模 型、并行计算机的存储访问模型以及并行计算机的存储组织 （ 层次存储技术和高速缓存一致性问题 ） -Parallel computing is done on a parallel computer or distributed computers and other high-performance computing systems supercomputer
Count, which is the material basis for high-performance parallel computers (including distributed network computer). This chapter begins the computing needs of contemporary science and engineering problems starting, first briefly discuss parallel computing and computational science and then discuss the parallel computer system interconnection, including static interconnection networks, dynamic interconnection networks and standard interconnection network final discussion parallel computer architecture model, storage access model of parallel computers and parallel computer storage organization (hierarchical storage technology and cache coherency problem) Platform: |
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Author:zhuge |
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Description: 蒙克卡罗 蒙特·卡罗方法（Monte Carlo method），也称统计模拟方法，是二十世纪四十年代中期由于科学技术的发展和电子计算机的发明，而被提出的一种以概率统计理论为指导的一类非常重要的数值计算方法。是指使用随机数（或更常见的伪随机数）来解决很多计算问题的方法。与它对应的是确定性算法。蒙特·卡罗方法在金融工程学，宏观经济学，计算物理学（如粒子输运计算、量子热力学计算、空气动力学计算）等领域应用广泛。-蒙克卡罗蒙 Carlo method (Monte Carlo method), also known as statistical simulation method is the mid-1940s due to the development of science and technology and the invention of the computer, and one kind is presented to the theory of probability and statistics calculated as a class of very important guiding values. It is the use of a random number (or more often pseudo-random number) method to solve many computational problems. And it corresponds to the deterministic algorithm. Monte Carlo method is widely used in financial engineering, macroeconomics, computational physics (such as particle transport calculation, calculation of quantum thermodynamics, aerodynamics calculation), and other fields. Platform: |
Size: 1024 |
Author:苏婧 |
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