From ef45071a3891786777497662c131e506a4039e95 Mon Sep 17 00:00:00 2001
From: guanjihuan <guanjihuan@163.com>
Date: Sat, 8 Mar 2025 19:33:10 +0800
Subject: [PATCH] update

---
 .../matrix_running_time.py                    |  2 +-
 .../make_qsub_files.py                        | 11 +++++
 ...ing_time_for_different_num_of_cpu_cores.py | 47 +++++++++++++++++++
 .../qsub_task.py                              |  7 +++
 4 files changed, 66 insertions(+), 1 deletion(-)
 create mode 100644 2025.03.08_matrix_running_time_for_different_num_of_cpu_cores/make_qsub_files.py
 create mode 100644 2025.03.08_matrix_running_time_for_different_num_of_cpu_cores/matrix_running_time_for_different_num_of_cpu_cores.py
 create mode 100644 2025.03.08_matrix_running_time_for_different_num_of_cpu_cores/qsub_task.py

diff --git a/2025.03.08_matrix_running_time/matrix_running_time.py b/2025.03.08_matrix_running_time/matrix_running_time.py
index f54b952..901cfe4 100644
--- a/2025.03.08_matrix_running_time/matrix_running_time.py
+++ b/2025.03.08_matrix_running_time/matrix_running_time.py
@@ -71,7 +71,7 @@ for n in n_array:
     start_time = time.time()
     det_A = np.linalg.det(A)
     det_time = time.time() - start_time
-    print(f"矩阵行列式时间: {det_time:.2f} 秒")
+    print(f"矩阵行列式时间: {det_time:.3f} 秒")
 
     # 矩阵乘法
     start_time = time.time()
diff --git a/2025.03.08_matrix_running_time_for_different_num_of_cpu_cores/make_qsub_files.py b/2025.03.08_matrix_running_time_for_different_num_of_cpu_cores/make_qsub_files.py
new file mode 100644
index 0000000..17df3a6
--- /dev/null
+++ b/2025.03.08_matrix_running_time_for_different_num_of_cpu_cores/make_qsub_files.py
@@ -0,0 +1,11 @@
+import guan  # https://py.guanjihuan.com | install: pip install --upgrade guan
+import numpy as np
+
+cpu_num_array = np.arange(1, 11)
+
+sh_filename = 'task'
+task_name = 'test'
+py_filename='matrix_running_time_for_different_num_of_cpu_cores'
+
+for cpu_num in cpu_num_array:
+    guan.make_sh_file_for_qsub(sh_filename=sh_filename+'_'+str(cpu_num), command_line=f'python {py_filename}.py', cpu_num=cpu_num, task_name=task_name+'_'+str(cpu_num), cd_dir=0)
\ No newline at end of file
diff --git a/2025.03.08_matrix_running_time_for_different_num_of_cpu_cores/matrix_running_time_for_different_num_of_cpu_cores.py b/2025.03.08_matrix_running_time_for_different_num_of_cpu_cores/matrix_running_time_for_different_num_of_cpu_cores.py
new file mode 100644
index 0000000..0f725b4
--- /dev/null
+++ b/2025.03.08_matrix_running_time_for_different_num_of_cpu_cores/matrix_running_time_for_different_num_of_cpu_cores.py
@@ -0,0 +1,47 @@
+"""
+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/45324
+"""
+
+import numpy as np
+import time
+
+n = 7000
+A = np.random.rand(n, n)
+B = np.random.rand(n, n)
+
+# 矩阵行列式
+start_time = time.time()
+det_A = np.linalg.det(A)
+det_time = time.time() - start_time
+print(f"矩阵行列式时间: {det_time:.2f} 秒")
+
+# 矩阵乘法
+start_time = time.time()
+C = np.dot(A, B)
+multiply_time = time.time() - start_time
+print(f"矩阵乘法时间: {multiply_time:.3f} 秒")
+
+# 矩阵求逆
+start_time = time.time()
+inv_A = np.linalg.inv(A)
+inv_time = time.time() - start_time
+print(f"矩阵求逆时间: {inv_time:.3f} 秒")
+
+# 矩阵的秩
+start_time = time.time()
+rank_A = np.linalg.matrix_rank(A)
+rank_time = time.time() - start_time
+print(f"矩阵的秩时间: {rank_time:.3f} 秒")
+
+# 矩阵的特征值
+start_time = time.time()
+eigenvalues_A = np.linalg.eigvals(A)
+eigen_time = time.time() - start_time
+print(f"矩阵特征值时间: {eigen_time:.3f} 秒")
+
+# 矩阵的特征值和特征向量
+start_time = time.time()
+eigenvalues_A, eigenvector_A = np.linalg.eig(A)
+eigen_time = time.time() - start_time
+print(f"矩阵特征值和特征向量时间: {eigen_time:.3f} 秒")
\ No newline at end of file
diff --git a/2025.03.08_matrix_running_time_for_different_num_of_cpu_cores/qsub_task.py b/2025.03.08_matrix_running_time_for_different_num_of_cpu_cores/qsub_task.py
new file mode 100644
index 0000000..2238e14
--- /dev/null
+++ b/2025.03.08_matrix_running_time_for_different_num_of_cpu_cores/qsub_task.py
@@ -0,0 +1,7 @@
+import numpy as np
+import os
+
+cpu_num_array = np.arange(1, 11)
+
+for cpu_num in cpu_num_array:
+    os.system(f'qsub task_{cpu_num}.sh')
\ No newline at end of file