Description: The Hammersley and Halton point sets, two well known low discrepancy sequences, have been used for quasi-Monte Carlo integration in previous research. A deterministic formula generates a uniformly distributed and stochastic-looking sampling pattern, at low computational cost. The Halton point set is also useful for incremental sampling. In this paper, we discuss detailed implementation issues and our experience of choosing suitable bases of the point sets, not just on the 2D plane, but also on a spherical surface. The sampling scheme is also applied to ray tracing, with a significant improvement in error. Platform: |
Size: 25723 |
Author:tiantiancode |
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Description: 1、用MATLAB软件掌握梯形公式、辛普森公式和蒙特卡罗方法计算数值积分。 2、通过实例学习用数值积分和数值微分解决实际问题。-1, using MATLAB software have trapezoidal formula, Simpson formula and Monte Carlo numerical integration method. 2, through examples of learning to use numerical integration and numerical differential solve practical problems. Platform: |
Size: 34816 |
Author:葛林 |
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Description: 利用MATLAB可以产生各种形式的随机数，进行随机解决一些实际问题（系统的寿命、重积分、预测公司经营）-using MATLAB can produce various forms of random numbers, random solve some practical problems (system of life, re-integration, the company forecast operating) Platform: |
Size: 11264 |
Author:111 |
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Description: 使用蒙特卡罗方法计算积分和体积的Matlab代码,适合初学者。-calculated using the Monte Carlo method and size of the integration of Matlab code for beginners. Platform: |
Size: 1024 |
Author:宋仁栋 |
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Description: 用matlab进行monte-carlo的一般数值积分求积例题。稍微的一个小例子-Using matlab to monte-carlo quadrature numerical integration of general examples. A small example of a little Platform: |
Size: 7168 |
Author:朱竹溪 |
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Description: The Hammersley and Halton point sets, two well known low discrepancy sequences, have been used for quasi-Monte Carlo integration in previous research. A deterministic formula generates a uniformly distributed and stochastic-looking sampling pattern, at low computational cost. The Halton point set is also useful for incremental sampling. In this paper, we discuss detailed implementation issues and our experience of choosing suitable bases of the point sets, not just on the 2D plane, but also on a spherical surface. The sampling scheme is also applied to ray tracing, with a significant improvement in error. Platform: |
Size: 25600 |
Author:tiantiancode |
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Description: 用MATLAB编写的运用Monte Carlo method数值积分的实例程序。可供初学者参考学习！-TETRAHEDRON_MONTE_CARLO is a MATLAB library which estimates the integral of a function over a tetrahedron using the Monte Carlo method.
The library makes it relatively easy to compare different methods of producing sample points in the tetrahedron, and to vary the tetrahedron over which integration is carried out.
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Size: 5120 |
Author:sun |
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Description: This program demonstrates an importance-sampling Monte Carlo integration to evaluate an integral. Platform: |
Size: 136192 |
Author:space21 |
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Description: GNU Scientific Library (GSL) 是一个用于科学计算的 C 语言类库。有超过1000个函数。
该类库提供了关于数学计算的很多方面，包括：
Complex Numbers Roots of Polynomials
Special Functions Vectors and Matrices
Permutations Sorting
BLAS Support Linear Algebra
Eigensystems Fast Fourier Transforms
Quadrature Random Numbers
Quasi-Random Sequences Random Distributions
Statistics Histograms
N-Tuples Monte Carlo Integration
Simulated Annealing Differential Equations
Interpolation Numerical Differentiation
Chebyshev Approximation Series Acceleration
Discrete Hankel Transforms Root-Finding
Minimization Least-Squares Fitting
Physical Constants IEEE Floating-Point
Discrete Wavelet Transforms Basis splines-GNU Scientific Library (GSL) is a C language class library for scientific computing. There are over 1000 functions. The class library provides a lot of aspects of mathematical calculations, including: Complex Numbers Roots of Polynomials Special Functions Vectors and Matrices Permutations Sorting BLAS Support Linear Algebra Eigensystems Fast Fourier Transforms Quadrature Random Numbers Quasi-Random Sequences Random Distributions Statistics Histograms N-Tuples Monte Carlo Integration Simulated Annealing Differential Equations Interpolation Numerical Differentiation Chebyshev Approximation Series Acceleration Discrete Hankel Transforms Root-Finding Minimization Least-Squares Fitting Physical Constants IEEE Floating-Point Discrete Wavelet Transforms Basis splines Platform: |
Size: 3185664 |
Author:mou |
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Description: These m.files are for:
1- Generations white noise
2- Longitudinal Transfer Functions for aircraft
3- Generate discrete wind turbulence with Dryden velocity spectra
4- Determination variance by Integration Solution
5- Generate Continuous wind turbulence with Von Karman velocity spectra
6- Monte Carlo simulations
-These m.files are for:
1- Generations white noise
2- Longitudinal Transfer Functions for aircraft
3- Generate discrete wind turbulence with Dryden velocity spectra
4- Determination variance by Integration Solution
5- Generate Continuous wind turbulence with Von Karman velocity spectra
6- Monte Carlo simulations
Platform: |
Size: 3072 |
Author:morgan |
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Description: java简单程序，用于计算蒙特卡罗积分，操作简单，但是没有进行误差分析-java simple procedure for calculating the Monte Carlo integration, simple operation, but no error analysis Platform: |
Size: 2048 |
Author:Robert |
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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。-Monte Carlo methods (or Monte Carlo experiments) are a broad class of computational algorithms that rely on repeated random sampling to obtain numerical results. They are often used in physical and mathematical problems and are most useful when it is difficult or impossible to use other mathematical methods. Monte Carlo methods are mainly used in three distinct problem classes: optimization, numerical integration, and generating draws a probability distribution. Platform: |
Size: 51200 |
Author:孙腾飞 |
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