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PDEDiffEllipticalH5_test.go 9.23 KB
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黑影 提交于 2019-03-01 10:13 . update comments
// PDEDiffEllipticalH5_test
/*
------------------------------------------------------
作者 : Black Ghost
日期 : 2019-01-08
版本 : 0.0.0
------------------------------------------------------
求解椭圆型偏微分方程(Helmholtz)的差分解法(五点格式)
理论:
对于椭圆型偏微分方程(Helmholtz方程):
d^2u d^2u
------ + ------ + f(x, y)*u= g(x, y)
dx^2 dy^2
u(x, 0) = fy0(x), u(x, b) = fyb(x)
u(0, y) = fx0(y), u(a, y) = fxa(y)
0 < x < a, 0 < y < b
x分为n等份,y分为m等份
hy^2[u_(i+1,j) + u_(i-1,j) - 2u_(i,j)] +
hx^2[u_(i,j+1) + u_(i,j-1) - 2u_(i,j)] +
f_(i,j)*u_(i,j)*hx^2*hy^2 - g_(i,j)*hx^2*hy^2 = 0
解以上方程组可得解
参考 John H. Mathews and Kurtis D. Fink. Numerical
methods using MATLAB, 4th ed. Pearson
Education, 2004. ss 10.3.
------------------------------------------------------
输入 :
funy0, funyb, funx0, funxa, funf, fung 边界函数及f(x, y)、g(x, y)
x0 求解范围,2x2
n, m 网格数量, 对应x和y
输出 :
sol 解矩阵
err 解出标志:false-未解出或达到步数上限;
true-全部解出
------------------------------------------------------
*/
package goNum_test
import (
"testing"
"github.com/chfenger/goNum"
)
// PDEDiffEllipticalH5 求解椭圆型偏微分方程(Helmholtz)的差分解法(五点格式)
func PDEDiffEllipticalH5(funy0, funyb, funx0, funxa func(float64) float64,
funf, fung func(float64, float64) float64, x0 goNum.Matrix, n, m int) (goNum.Matrix, bool) {
/*
求解椭圆型偏微分方程(Helmholtz)的差分解法(五点格式)
输入 :
funy0, funyb, funx0, funxa, funf, fung 边界函数及f(x, y)、g(x, y)
x0 求解范围,2x2
n, m 网格数量, 对应x和y
输出 :
sol 解矩阵
err 解出标志:false-未解出或达到步数上限;
true-全部解出
*/
//判断网格数量
if (m < 1) || (n < 1) {
panic("Error in goNum.PDEDiffEllipticalH5: Grid numbers error")
}
//判断初值维数
if (x0.Rows < 2) || (x0.Columns < 2) {
panic("Error in goNum.PDEDiffEllipticalH5: Initial values error")
}
var err bool = false
sol := goNum.ZeroMatrix(m+1, n+1) //行y变化,列x变化
hx := (x0.GetFromMatrix(1, 0) - x0.GetFromMatrix(0, 0)) / float64(n) //x方向步长
hy := (x0.GetFromMatrix(1, 1) - x0.GetFromMatrix(0, 1)) / float64(m) //y方向步长
hx2 := hx * hx
hy2 := hy * hy
hxhy2 := hx2 * hy2
//边界框的解
//第一行的值和最后一行的值,不包括第一个和最后一个
for i := 1; i < n; i++ {
sol.SetMatrix(0, i, funy0(x0.GetFromMatrix(0, 0)+hx*float64(i)))
sol.SetMatrix(m, i, funyb(x0.GetFromMatrix(0, 0)+hx*float64(i)))
}
//第一列的值和最后一列的值,包括第一个和最后一个
for j := 0; j < m+1; j++ {
sol.SetMatrix(j, 0, funx0(x0.GetFromMatrix(0, 1)+hy*float64(j)))
sol.SetMatrix(j, n, funxa(x0.GetFromMatrix(0, 1)+hy*float64(j)))
}
//求解中间点,主对角占优矩阵解法,利用高斯消去方法
AA := goNum.ZeroMatrix((n-1)*(m-1), (n-1)*(m-1)) //系数矩阵A
BA := goNum.ZeroMatrix((n-1)*(m-1), 1) //值矩阵B
//赋值系数矩阵和值矩阵
//第一行, j = 1
//第一个
fij := hxhy2 * funf(x0.GetFromMatrix(0, 0)+hx*1.0, x0.GetFromMatrix(0, 1)+hy*1.0)
AA.SetMatrix(0, 0, -2.0*hx2-2.0*hy2+fij)
AA.SetMatrix(0, 1, hy2)
AA.SetMatrix(0, n-1, hx2)
tempBA := hxhy2 * fung(x0.GetFromMatrix(0, 0)+hx*1.0, x0.GetFromMatrix(0, 1)+hy*1.0)
tempBA = tempBA - hy2*funx0(x0.GetFromMatrix(0, 1)+hy*1.0)
tempBA = tempBA - hx2*funy0(x0.GetFromMatrix(0, 0)+hx*1.0)
BA.SetMatrix(0, 0, tempBA)
for i := 2; i < n-1; i++ {
fij = hxhy2 * funf(x0.GetFromMatrix(0, 0)+hx*float64(i), x0.GetFromMatrix(0, 1)+hy*1.0)
AA.SetMatrix(i-1, i-2, hy2)
AA.SetMatrix(i-1, i-1, -2.0*hx2-2.0*hy2+fij)
AA.SetMatrix(i-1, i, hy2)
AA.SetMatrix(i-1, (n-1)*1+i-1, hx2)
tempBA = hxhy2 * fung(x0.GetFromMatrix(0, 0)+hx*float64(i), x0.GetFromMatrix(0, 1)+hy*1.0)
tempBA = tempBA - hx2*funy0(x0.GetFromMatrix(0, 0)+hx*float64(i))
BA.SetMatrix((n-1)*0+i-1, 0, tempBA)
}
//最后一个
fij = hxhy2 * funf(x0.GetFromMatrix(0, 0)+hx*float64(n-1), x0.GetFromMatrix(0, 1)+hy*1.0)
AA.SetMatrix(n-1-1, n-1-2, hy2)
AA.SetMatrix(n-1-1, n-1-1, -2.0*hx2-2.0*hy2+fij)
AA.SetMatrix(n-1-1, (n-1)*1+n-1-1, hx2)
tempBA = hxhy2 * fung(x0.GetFromMatrix(0, 0)+hx*float64(n-1), x0.GetFromMatrix(0, 1)+hy*1.0)
tempBA = tempBA - hy2*funxa(x0.GetFromMatrix(0, 1)+hy*1.0)
tempBA = tempBA - hx2*funy0(x0.GetFromMatrix(0, 0)+hx*float64(n-1))
BA.SetMatrix(n-1-1, 0, tempBA)
//中间行, 2 <= j <= m-2
for j := 2; j < m-1; j++ {
//第一个
fij = hxhy2 * funf(x0.GetFromMatrix(0, 0)+hx*1.0, x0.GetFromMatrix(0, 1)+hy*float64(j))
AA.SetMatrix((n-1)*(j-1), (n-1)*(j-1-1), hx2)
AA.SetMatrix((n-1)*(j-1), (n-1)*(j-1), -2.0*hx2-2.0*hy2+fij)
AA.SetMatrix((n-1)*(j-1), (n-1)*(j-1)+1, hy2)
AA.SetMatrix((n-1)*(j-1), (n-1)*(j-1)+n-1, hx2)
tempBA = hxhy2 * fung(x0.GetFromMatrix(0, 0)+hx*1.0, x0.GetFromMatrix(0, 1)+hy*float64(j))
tempBA = tempBA - hy2*funx0(x0.GetFromMatrix(0, 1)+hy*float64(j))
BA.SetMatrix((n-1)*(j-1), 0, tempBA)
for i := 2; i < n-1; i++ {
fij = hxhy2 * funf(x0.GetFromMatrix(0, 0)+hx*float64(i), x0.GetFromMatrix(0, 1)+hy*float64(j))
AA.SetMatrix((n-1)*(j-1)+i-1, (n-1)*(j-1-1)+i-1, hx2)
AA.SetMatrix((n-1)*(j-1)+i-1, (n-1)*(j-1)+i-2, hy2)
AA.SetMatrix((n-1)*(j-1)+i-1, (n-1)*(j-1)+i-1, -2.0*hx2-2.0*hy2+fij)
AA.SetMatrix((n-1)*(j-1)+i-1, (n-1)*(j-1)+i, hy2)
AA.SetMatrix((n-1)*(j-1)+i-1, (n-1)*(j-1+1)+i-1, hx2)
tempBA = hxhy2 * fung(x0.GetFromMatrix(0, 0)+hx*float64(i), x0.GetFromMatrix(0, 1)+hy*float64(j))
BA.SetMatrix((n-1)*(j-1)+i-1, 0, tempBA)
}
//最后一个
fij = hxhy2 * funf(x0.GetFromMatrix(0, 0)+hx*float64(n-1), x0.GetFromMatrix(0, 1)+hy*float64(j))
AA.SetMatrix((n-1)*(j-1)+n-1-1, (n-1)*(j-1-1)+n-1-1, hx2)
AA.SetMatrix((n-1)*(j-1)+n-1-1, (n-1)*(j-1)+n-1-2, hy2)
AA.SetMatrix((n-1)*(j-1)+n-1-1, (n-1)*(j-1)+n-1-1, -2.0*hx2-2.0*hy2+fij)
AA.SetMatrix((n-1)*(j-1)+n-1-1, (n-1)*(j-1+1)+n-1-1, hx2)
tempBA = hxhy2 * fung(x0.GetFromMatrix(0, 0)+hx*float64(n-1), x0.GetFromMatrix(0, 1)+hy*float64(j))
tempBA = tempBA - hy2*funxa(x0.GetFromMatrix(0, 1)+hy*float64(j))
BA.SetMatrix((n-1)*(j-1)+n-1-1, 0, tempBA)
}
//最后一行, j = m-1
//第一个
fij = hxhy2 * funf(x0.GetFromMatrix(0, 0)+hx*1.0, x0.GetFromMatrix(0, 1)+hy*float64(m-1))
AA.SetMatrix((n-1)*(m-1-1), (n-1)*(m-1-1-1), hx2)
AA.SetMatrix((n-1)*(m-1-1), (n-1)*(m-1-1), -2.0*hx2-2.0*hy2+fij)
AA.SetMatrix((n-1)*(m-1-1), (n-1)*(m-1-1)+1, hy2)
tempBA = hxhy2 * fung(x0.GetFromMatrix(0, 0)+hx*1.0, x0.GetFromMatrix(0, 1)+hy*float64(m-1))
tempBA = tempBA - hy2*funx0(x0.GetFromMatrix(0, 1)+hy*float64(m-1))
tempBA = tempBA - hx2*funyb(x0.GetFromMatrix(0, 0)+hx*1.0)
BA.SetMatrix((n-1)*(m-1-1), 0, tempBA)
for i := 2; i < n-1; i++ {
fij = hxhy2 * funf(x0.GetFromMatrix(0, 0)+hx*float64(i), x0.GetFromMatrix(0, 1)+hy*float64(m-1))
AA.SetMatrix((n-1)*(m-1-1)+i-1, (n-1)*(m-1-1-1)+i-1, hx2)
AA.SetMatrix((n-1)*(m-1-1)+i-1, (n-1)*(m-1-1)+i-2, hy2)
AA.SetMatrix((n-1)*(m-1-1)+i-1, (n-1)*(m-1-1)+i-1, -2.0*hx2-2.0*hy2+fij)
AA.SetMatrix((n-1)*(m-1-1)+i-1, (n-1)*(m-1-1)+i, hy2)
tempBA = hxhy2 * fung(x0.GetFromMatrix(0, 0)+hx*float64(i), x0.GetFromMatrix(0, 1)+hy*float64(m-1))
tempBA = tempBA - hx2*funyb(x0.GetFromMatrix(0, 0)+hx*float64(i))
BA.SetMatrix((n-1)*(m-1-1)+i-1, 0, tempBA)
}
//最后一个
fij = hxhy2 * funf(x0.GetFromMatrix(0, 0)+hx*float64(n-1), x0.GetFromMatrix(0, 1)+hy*float64(m-1))
AA.SetMatrix((n-1)*(m-1-1)+n-1-1, (n-1)*(m-1-1-1)+n-1-1, hx2)
AA.SetMatrix((n-1)*(m-1-1)+n-1-1, (n-1)*(m-1-1)+n-1-2, hy2)
AA.SetMatrix((n-1)*(m-1-1)+n-1-1, (n-1)*(m-1-1)+n-1-1, -2.0*hx2-2.0*hy2+fij)
tempBA = hxhy2 * fung(x0.GetFromMatrix(0, 0)+hx*float64(n-1), x0.GetFromMatrix(0, 1)+hy*float64(m-1))
tempBA = tempBA - hy2*funxa(x0.GetFromMatrix(0, 1)+hy*float64(m-1))
tempBA = tempBA - hx2*funyb(x0.GetFromMatrix(0, 0)+hx*float64(n-1))
BA.SetMatrix((n-1)*(m-1-1)+n-1-1, 0, tempBA)
//求解矩阵方程
tempp, temperr := goNum.LEs_ECPE(goNum.Matrix2ToSlices(AA), goNum.Matrix1ToSlices(BA))
if temperr != true {
panic("Error in goNum.PDEDiffEllipticalH5: Solve error")
}
//解赋予sol
ii := 1
jj := 1
for i := 0; i < len(tempp); i++ {
sol.SetMatrix(ii, jj, tempp[i])
if jj == n-1 {
ii++
jj = 0
}
jj++
}
err = true
return sol, err
}
func fun57y0(x float64) float64 {
return x * x
}
func fun57yb(x float64) float64 {
return (x - 1.0) * (x - 1.0)
}
func fun57x0(y float64) float64 {
return y * y
}
func fun57xa(y float64) float64 {
return (y - 1.0) * (y - 1.0)
}
func fun57f(x, y float64) float64 {
return 2.0
}
func fun57g(x, y float64) float64 {
return y
}
func BenchmarkPDEDiffEllipticalH5(b *testing.B) {
x57 := goNum.NewMatrix(2, 2, []float64{0.0, 0.0, 1.0, 1.0})
for i := 0; i < b.N; i++ {
goNum.PDEDiffEllipticalH5(fun57y0, fun57yb, fun57x0, fun57xa, fun57f, fun57g, x57, 4, 4)
}
}
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