311:稀疏矩阵的乘法

src/main/java/leetcode/editor/cn/SparseMatrixMultiplication.java

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+//给你两个 稀疏矩阵 A 和 B，请你返回 AB 的结果。你可以默认 A 的列数等于 B 的行数。 
+//
+// 请仔细阅读下面的示例。 
+//
+// 
+//
+// 示例： 
+//
+// 输入：
+//
+//A = [
+//  [ 1, 0, 0],
+//  [-1, 0, 3]
+//]
+//
+//B = [
+//  [ 7, 0, 0 ],
+//  [ 0, 0, 0 ],
+//  [ 0, 0, 1 ]
+//]
+//
+//输出：
+//
+//     |  1 0 0 |   | 7 0 0 |   |  7 0 0 |
+//AB = | -1 0 3 | x | 0 0 0 | = | -7 0 3 |
+//                  | 0 0 1 |
+// 
+// Related Topics 数组 哈希表 矩阵 👍 55 👎 0
+
+package leetcode.editor.cn;
+
+//311:稀疏矩阵的乘法
+class SparseMatrixMultiplication {
+    public static void main(String[] args) {
+        //测试代码
+        Solution solution = new SparseMatrixMultiplication().new Solution();
+    }
+
+    //力扣代码
+    //leetcode submit region begin(Prohibit modification and deletion)
+    class Solution {
+        public int[][] multiply(int[][] mat1, int[][] mat2) {
+            int[][] result = new int[mat1.length][mat2[0].length];
+            for (int i = 0; i < result.length; i++) {
+                for (int j = 0; j < result[0].length; j++) {
+                    for (int k = 0; k < mat1[0].length; k++) {
+                        result[i][j] += mat1[i][k] * mat2[k][j];
+                    }
+                }
+            }
+            return result;
+        }
+    }
+//leetcode submit region end(Prohibit modification and deletion)
+
+}

src/main/java/leetcode/editor/cn/doc/content/SparseMatrixMultiplication.md

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+<p>给你两个&nbsp;<a href="https://baike.baidu.com/item/%E7%A8%80%E7%96%8F%E7%9F%A9%E9%98%B5" target="_blank">稀疏矩阵</a>&nbsp;<strong>A</strong>&nbsp;和&nbsp;<strong>B</strong>，请你返回&nbsp;<strong>AB</strong> 的结果。你可以默认&nbsp;<strong>A&nbsp;</strong>的列数等于&nbsp;<strong>B&nbsp;</strong>的行数。</p>
+
+<p>请仔细阅读下面的示例。</p>
+
+<p>&nbsp;</p>
+
+<p><strong>示例：</strong></p>
+
+<pre><strong>输入：
+
+A</strong> = [
+  [ 1, 0, 0],
+  [-1, 0, 3]
+]
+
+<strong>B</strong> = [
+  [ 7, 0, 0 ],
+  [ 0, 0, 0 ],
+  [ 0, 0, 1 ]
+]
+
+<strong>输出：</strong>
+
+     |  1 0 0 |   | 7 0 0 |   |  7 0 0 |
+<strong>AB</strong> = | -1 0 3 | x | 0 0 0 | = | -7 0 3 |
+                  | 0 0 1 |
+</pre>
+<div><div>Related Topics</div><div><li>数组</li><li>哈希表</li><li>矩阵</li></div></div><br><div><li>👍 55</li><li>👎 0</li></div>