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modified hausdorff distance for comparing two point sets

本书是The IMA Volumes in Mathematics and its Applications系列的一本，由Springer-Verlag发表，用于交流每年数学规划算法方面的新成果，希望对于广泛的科学团体有帮助。 许多工程，运筹，和科学应用包括离散或连续的决策变量，以及这些决策变量的非线性关系。这种 Mixed-integer nonlinear programming （MINLP，混合整数非线性规划），兼具来自非线性问题的非凸函数优化，以及来自整数的离散优化，这两方面的挑战。这种问题是优化问题里面建模最灵活的类型之一，但是因为它范围极广，在最一般的情况下，它是几乎无法解的。然而，日渐壮大的研究者和程序员队伍，包括化学工程，运筹研究者，工业工程师，机械工程师，经济学家，统计学家，计算机科学家，运营经理，和数学程序员，都对求解大规模MINLP问题产生兴趣。(Many engineering, operations, and scientific applications include a mixture of discrete and continuous decision variables and nonlinear relationships involving the decision variables that have a pronounced effect on the set of feasible and optimal solutions. Mixed-integer nonlinear programming (MINLP) problems combine the numerical difficulties of handling nonlinear functions with the challenge of optimizing in the context of nonconvex functions and discrete variables. MINLP is one of the most flexible modeling paradigms available for optimization but because its scope is so broad, in the most general cases it is hopelessly intractable. Nonetheless, an expanding body of researchers and practitioners ― including chemical engineers, operations researchers, industrial engineers, mechanical engineers, economists, statisticians, computer scientists, operations managers, and mathematical programmers ― are interested in solving large-scale MINLP instances.)

RS分形算法matlab代码实现,既利用RS方法计算时间序列的分形hurst指数(RS fractal algorithm to achieve Matlab code, RS is calculated using time series fractal hurst index)

Matlab2010经典超强的教程,非常实用。(Matlab2010 classic course)

说明：  遗传算法的实数编码MATLAB程序，不是工具箱，有助于理解遗传算法的编程实现(Genetic algorithm written by maltab)

本书介绍了某些非线性演化方程的物理背景和定性研究，对某些非线性演化方程研究的新结果，某些非线性演化方程的相似解和潘勒维性质，和无穷维动力系统。(This book describes some of the physical background of nonlinear evolution equations and qualitative research study of nonlinear evolution equations for some new results, some of the solutions of nonlinear evolution equations and Pan Lewei similar nature, and infinite-dimensional power systems.)

The fusion of high-spectral/low-spatial resolution multispectral and low-spectral/high-spatial resolution panchromatic satellite images is a very useful technique in various applications of remote sensing. Recently, some studies showed that a wavelet-based image fusion method provides high quality spectral content in fused images. However, most wavelet-based methods yield fused results with spatial resolution that is less than that obtained via the Brovey, IHS, and PCA fusion methods. In this paper, we introduce a new method based on a curvelet transform, which represents edges better than wavelets. Since edges play a fundamental role in image representation, one effective means to enhance spatial resolution is to enhance the edges. The curvelet-based image fusion method provides richer information in the spatial and spectral domains simultaneously. We performed Landsat ETM+ image fusion and found that the proposed method provides optimum fusion results.

说明：  C4.5决策树分类算法，用于进行数据分类(Classification algorithm)

说明：  根据查找表进行定量参数反演，基于RMSE的代价函数反演。(According to the lookup table, the quantitative parameter inversion is carried out, and the cost function inversion is based on RMSE.)

说明：  卡尔曼滤波，对一组数据滤波。也可以自己修改针对矩阵形式(Kalman filter, a set of data filtering. You can make changes to the form for the matrix)