dblpend2sl

Matlab图形图像处理函数详细列表,包括所有的Matlab图形图像处理函数.(Matlab graphic image processing function, a detailed list, including all of the Matlab graphics image processing function.)

single area integral formation continnue

【Matlab界面GUI添加背景图片】：好像桌面背景一样，添加自己想要的背景图片，这里面有个技术，可以让背景不影响GUI界面的文字，edit、text。具体代码下载了解一下吧，平时工作总结的方法。(Matlab interface [GUI] Add a background image: It seems as desktop background, you want to add your own background image, and there are a technology that allows the background without affecting the GUI interface text, edit, text. Specific code to download understand it, the usual method of summing up the work.)

40 bytes in English. System will automatically delete the directory of debug and release, so please do not put files on these two directory.DemoV4

matlab中编写计算器程序，matlab中编写计算器程序(matlab calculator in the preparation of procedures, matlab calculator in the preparation of procedures)

LTEA中的Relay仿真 按照3gpp 36.211等搭建的链路级仿真，单跳模型(LTEA the Relay emulation and other structures in accordance with 3gpp 36.211 link level simulation model for single-hop)

i am uploade matlab code for perfomance analysis of OFDM systyem using different modulation scheme.it simulatoion result is so interesting to propose the modulation scheme when OFDM system is use in application .

classification algorithms

单目标和多目标全局优化算法设计，这是一篇硕士论文。(Single objective and multi-objective global optimization algorithm, which is a master' s thesis.)

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.)