projectile_matlab

Approximate Greedy Solutions to the problem min||x(k)||_2,0 such that Ax = b

scalogram.m Function to calculate the phase and amplitude scalograms of a 1D signal. The analysis is done using quadrature pairs of log Gabor wavelets.

it is one type of Particle Swarm Optimization(PSO). A recently reported successful PSO variant is the comprehensive learning particle swarm optimization (CLPSO) where each dimension of a particle is updated separately by following an exemplar particle relatively fitter in the corresponding dimension

数学建模的基本常用算法，几乎包含了所有要用到的matlab程序，非常实用(Mathematical modeling commonly used algorithm, almost all matlab program to use, very practical)

第 1 章基础准备及入门；第 2 章数值数组及其运算；第 3 章字符串、元胞和构架数组；“第 4 章数值计算；第 5 章符号计算(Chapter 1 Introduction to basic and preparation Chapter 2 numerical arrays and their operations Chapter 3 strings, and the framework of cellular arrays " Chapter 4 Numerical calculation Chapter 5 symbolic computation)

This a package containing all sources code for matlab for "blotch and scratch detection based on Rank orederd differences" or ROD.

This file include many matlab excercise, you can download and using file .m to examine your matlab s skill. Thanks for see!

We programmed the correction equation of time in minutes per day pendants year

三维路径规划算法，蚁群算法实现，注释详细清晰，程序完整(Three-dimensional path planning algorithm, ant colony algorithm, detailed notes clear, complete procedures)

This paper presents a new and efficient approach for capacitor placement in radial distribution systems (RDS) that determine the optimal locations and size of capacitor with an objective of improving the voltage profile and reduction of power loss. The solution methodology has two parts: in part one the loss sensitivity factors (LSF) are used to select the candidate locations for the capacitor placement and in part two a new algorithm that employs Dijkstra Algorithm (DA) is used to estimate the optimal size of capacitors at the optimal buses determined in part one. The main advantage of the proposed method is that it does not require any external control parameters. The other advantage is that it handles the objective function and the constraints separately. The proposed method is applied to 33 & 69 RDS. The solutions obtained by the proposed method are compared with other methods. The proposed method has outperformed the other methods in terms of the quality of solution. OPTIMAL C