求解非线性方程组

问题描述

我正在尝试解决以下四个方程组.我曾尝试使用rootSolve"包，但似乎无法通过这种方式找到解决方案.

I am trying to solve the following system of four equations. I have tried using the "rootSolve" package but it does not seem like I can find a solution this way.

我使用的代码如下:

model <- function(x) {
F1 <- sqrt(x[1]^2 + x[3]^2) -1
F2 <- sqrt(x[2]^2 + x[4]^2) -1
F3 <- x[1]*x[2] + x[3]*x[4]
F4 <- -0.58*x[2] - 0.19*x[3]
c(F1 = F1, F2 = F2, F3 = F3, F4 = F4)
}
(ss <- multiroot(f = model, start = c(0,0,0,0)))

但它给了我以下错误:

Warning messages:
1: In stode(y, times, func, parms = parms, ...) :
error during factorisation of matrix (dgefa);         singular matrix
2: In stode(y, times, func, parms = parms, ...) : steady-state not reached

正如另一个类似答案中所建议的那样，我已经更改了起始值，对于某些人，我可以找到解决方案.然而，这个系统——根据我使用的来源——应该有一个唯一标识的解决方案.关于如何解决这个系统的任何想法?

I have changed the starting values, as suggested in another similar answer, and for some I can find a solution.However, this system - according to the source I am using - should have an uniquely identified solution.Any idea about how to solve this system?

谢谢！

推荐答案

您的方程组有多个解.我使用不同的包来解决你的系统:nleqslv 如下:

Your system of equations has multiple solutions.I use a different package to solve your system: nleqslv as follows:

library(nleqslv)

model <- function(x) {
   F1 <- sqrt(x[1]^2 + x[3]^2) - 1
   F2 <- sqrt(x[2]^2 + x[4]^2) - 1
   F3 <- x[1]*x[2] + x[3]*x[4]
   F4 <- -0.58*x[2] - 0.19*x[3]
   c(F1 = F1, F2 = F2, F3 = F3, F4 = F4)
}

#find solution
xstart  <-  c(1.5, 0, 0.5, 0)
nleqslv(xstart,model)

这得到了与 Prem 的答案相同的解决方案.

This gets the same solution as the answer of Prem.

然而，您的系统有多种解决方案.包 nleqslv 提供了一个函数来搜索给定不同起始值矩阵的解决方案.你可以用这个

Your system however has multiple solutions.Package nleqslv provides a function to search for solutions given a matrix of different starting values. You can use this

set.seed(13)
xstart <- matrix(runif(400,0,2),ncol=4)
searchZeros(xstart,model)

(注意:不同的种子可能无法找到所有四种解)

(Note: different seeds may not find all four solutions)

您会看到有四种不同的解决方案:

You will see that there are four different solutions:

$x
     [,1]          [,2]          [,3] [,4]
[1,]   -1 -1.869055e-10  5.705536e-10   -1
[2,]   -1  4.992198e-13 -1.523934e-12    1
[3,]    1 -1.691309e-10  5.162942e-10   -1
[4,]    1  1.791944e-09 -5.470144e-09    1
.......

这清楚地表明精确解如以下矩阵中给出的

This clearly suggests that the exact solutions are as given in the following matrix

xsol <- matrix(c(1,0,0,1,
                 1,0,0,-1,
                -1,0,0,1,
                -1,0,0,-1),byrow=TRUE,ncol=4)

然后做

model(xsol[1,])
model(xsol[2,])
model(xsol[3,])
model(xsol[4,])

确认！我没有尝试通过分析找到这些解决方案，但您可以看到如果 x[2] 和 x[3] 为零，则 F3 和F4 为零.然后可以立即找到 x[1] 和 x[4] 的解.

Confirmed!I have not tried to find these solutions analytically but you can see that if x[2] and x[3] are zero then F3 and F4 are zero. The solutions for x[1] and x[4] can then be immediately found.

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