<?xml version="1.0" encoding="utf-8" ?><rss version="2.0"><channel><title><![CDATA[jsxpp1的博客]]></title><description><![CDATA[]]></description><link>https://blog.youkuaiyun.com/jsxpp1</link><language>zh-cn</language><generator>https://blog.youkuaiyun.com/</generator><copyright><![CDATA[Copyright &copy; jsxpp1]]></copyright><item><title><![CDATA[牛顿法在MATLAB中的实现]]></title><link>https://blog.youkuaiyun.com/jsxpp1/article/details/122170124</link><guid>https://blog.youkuaiyun.com/jsxpp1/article/details/122170124</guid><author>jsxpp1</author><pubDate>Mon, 27 Dec 2021 13:42:38 +0800</pubDate><description><![CDATA[牛顿迭代法又称为切线法，简单来说就是不断求切线与x轴的交点，来逐渐接近解的迭代过程。方法使用函数f(x）的泰勒级数的前面几项来寻找方程f(x) = 0的根。具体迭代的方法可以看度娘的解释，或者相关的教材。今天来介绍下简单的matlab的实现。

利用迭代算法解决问题，需要做好以下三个方面的工作：

一、确定迭代变量

在可以用迭代算法解决的问题中，至少存在一个可直接或间接地不断由旧值递推出新值的变量，这个变量就是迭代变量。

二、建立迭代关系式

所谓迭代关系式，指如何从变量的前一个值推出其下一个...]]></description><category></category></item><item><title><![CDATA[MATLAB中几种常见图形的绘制]]></title><link>https://blog.youkuaiyun.com/jsxpp1/article/details/122159166</link><guid>https://blog.youkuaiyun.com/jsxpp1/article/details/122159166</guid><author>jsxpp1</author><pubDate>Sun, 26 Dec 2021 19:08:50 +0800</pubDate><description><![CDATA[箱式不优化

clc;clear all; close all;
V1 = 3e16  ; % volume of upper ocean (m^3)
V2 = 100e16 ; % volume of deeper ocean (m^3)
Fr = 3e13  ; % river inputs (m^3/yr)
Fo = 6e14  ; % turnover rate (m^3/yr)
xr = 1.3  ; % concentration of P in rivers (mmol/m3)
T...]]></description><category></category></item><item><title><![CDATA[MATLAB彩色图片的处理]]></title><link>https://blog.youkuaiyun.com/jsxpp1/article/details/122159116</link><guid>https://blog.youkuaiyun.com/jsxpp1/article/details/122159116</guid><author>jsxpp1</author><pubDate>Sun, 26 Dec 2021 19:04:50 +0800</pubDate><description><![CDATA[clc;
close all
clear all
figure(1)

% syms P N P0 N0 mu_max kn dt r
% FP = P - P0 - mu_max*(N/(kn+N))*P*dt + r*P*dt ;
% FN = N - N0 + mu_max*(N/(kn+N))*P*dt - r*P*dt ;

% dFPdP = diff(FP,P);
% dFPdN = diff(FP,N);
% dFNdP = diff(FN,P);
% dFNdN = diff(FN,N);]]></description><category></category></item><item><title><![CDATA[MATLAB 元胞数组和结构体类型]]></title><link>https://blog.youkuaiyun.com/jsxpp1/article/details/122159082</link><guid>https://blog.youkuaiyun.com/jsxpp1/article/details/122159082</guid><author>jsxpp1</author><pubDate>Sun, 26 Dec 2021 19:02:17 +0800</pubDate><description><![CDATA[dt = 0.3 ; % time step
k_N = 0.75; % N dependence
mu_max = 1.2; % optimal growth rate
r = 0.1 ; % P death rate
n_max = 1000 ; %
g = 0.1; % graze coefficient
lambda = 0.05; % mortality rate
N = zeros(1,n_max);
P = zeros(1,n_max);
t = zeros(1,n_max);

N(...]]></description><category></category></item></channel></rss>