From 8d726fe9e6348480ec4ed864450b60fc30a82896 Mon Sep 17 00:00:00 2001
From: guanjihuan <guanjihuan@163.com>
Date: Thu, 3 Apr 2025 01:48:49 +0800
Subject: [PATCH] update

---
 .../a.f90                                     | 89 +++++++++++++++++++
 .../a.py                                      | 18 ++++
 2 files changed, 107 insertions(+)
 create mode 100644 2025.04.03_time_of_fotran_mkl_and_python_numpy/a.f90
 create mode 100644 2025.04.03_time_of_fotran_mkl_and_python_numpy/a.py

diff --git a/2025.04.03_time_of_fotran_mkl_and_python_numpy/a.f90 b/2025.04.03_time_of_fotran_mkl_and_python_numpy/a.f90
new file mode 100644
index 0000000..414239e
--- /dev/null
+++ b/2025.04.03_time_of_fotran_mkl_and_python_numpy/a.f90
@@ -0,0 +1,89 @@
+! This code is supported by the website: https://www.guanjihuan.com
+! The newest version of this code is on the web page: https://www.guanjihuan.com/archives/45966
+
+module random_matrix_mod
+    implicit none
+    contains
+        subroutine generate_random_matrix(n, A)
+            integer, intent(in) :: n
+            double precision, allocatable, intent(out) :: A(:,:)
+            integer :: ierr
+            
+            allocate(A(n, n), stat=ierr)
+            if (ierr /= 0) stop "内存分配失败"
+            
+            call init_random_seed()
+            call random_number(A)
+        end subroutine
+
+        subroutine init_random_seed()
+            integer :: i, n, clock, ierr
+            integer, allocatable :: seed(:)
+            
+            call random_seed(size = n)
+            allocate(seed(n), stat=ierr)
+            if (ierr /= 0) stop "种子分配失败"
+            
+            call system_clock(count=clock)
+            seed = clock + 37 * [(i - 1, i = 1, n)]
+            call random_seed(put=seed)
+            
+            deallocate(seed)
+        end subroutine
+end module
+
+program main
+    use random_matrix_mod
+    use f95_precision
+    use blas95
+    use lapack95
+    implicit none
+
+    integer, allocatable :: index1(:)
+    integer n, i, j, info, ierr, stage, start, end_val, step, count_start, count_end, count_rate
+    double precision, allocatable :: A(:,:)
+    double precision time_used
+
+    ! 定义不同阶段的参数
+    do stage = 1, 3
+        select case(stage)
+        case(1)  ! 第一阶段：100-1000，步长100
+            start = 100
+            end_val = 1000
+            step = 100
+        case(2)  ! 第二阶段：2000-10000，步长1000
+            start = 2000
+            end_val = 10000
+            step = 1000
+        case(3)  ! 第三阶段：20000-50000，步长10000
+            start = 20000
+            end_val = 50000
+            step = 10000
+        end select
+
+        n = start
+        do while (n <= end_val)
+
+            allocate(index1(n), stat=ierr)
+            call generate_random_matrix(n, A)
+
+            call system_clock(count_start, count_rate)
+            call getrf(A, index1, info);  call getri(A, index1, info)  ! 使用 getrf 和 getri 对矩阵求逆。这时候 A 不再是原来的矩阵了，而是求逆后的矩阵。
+            call system_clock(count_end)
+
+            ! 打印计算时间
+            if (count_rate > 0) then
+                time_used = real(count_end - count_start) / real(count_rate)
+                write(*, '(a, I6, a, f12.6, a)') 'n = ', n, ' 的计算时间: ', time_used, ' 秒'
+            else
+                write(*,*) "无法获取计算时间"
+            endif
+
+            deallocate(A, stat=ierr)
+            deallocate(index1, stat=ierr)
+
+            n = n + step
+        end do
+    end do
+
+end program
\ No newline at end of file
diff --git a/2025.04.03_time_of_fotran_mkl_and_python_numpy/a.py b/2025.04.03_time_of_fotran_mkl_and_python_numpy/a.py
new file mode 100644
index 0000000..9b52e40
--- /dev/null
+++ b/2025.04.03_time_of_fotran_mkl_and_python_numpy/a.py
@@ -0,0 +1,18 @@
+"""
+This code is supported by the website: https://www.guanjihuan.com
+The newest version of this code is on the web page: https://www.guanjihuan.com/archives/45966
+"""
+
+import numpy as np
+import time
+
+n_array = np.concatenate((np.arange(100, 1000, 100),
+                          np.arange(1000, 10000, 1000),
+                          np.arange(10000, 60000, 10000)))
+
+for n in n_array:
+    A = np.random.rand(n, n)
+    start_time = time.time()
+    inv_A = np.linalg.inv(A)
+    inv_time = time.time() - start_time
+    print(f"n = {n} 的计算时间: {inv_time:.6f} 秒")
\ No newline at end of file