PHP使用数组实现矩阵数学运算的方法示例

2025-05-29 0 61

本文实例讲述了PHP使用数组实现矩阵数学运算的方法。分享给大家供大家参考,具体如下:

矩阵运算就是对两个数据表进行某种数学运算,并得到另一个数据表.
下面的例子中我们创建了一个基本完整的矩阵运算函数库,以便用于矩阵操作的程序中.

来自 PHP5 in Practice (U.S.)Elliott III & Jonathan D.Eisenhamer

?

1

2

3

4

5

6

7

8

9

10

11

12

13

14

15

16

17

18

19

20

21

22

23

24

25

26

27

28

29

30

31

32

33

34

35

36

37

38

39

40

41

42

43

44

45

46

47

48

49

50

51

52

53

54

55

56

57

58

59

60

61

62

63

64

65

66

67

68

69

70

71

72

73

74

75

76

77

78

79

80

81

82

83

84

85

86

87

88

89

90

91

92

93

94

95

96

97

98

99

100

101

102

103

104

105

106

107

108

109

110

111

112

113

114

115

116

117

118

119

120

121

122

123

124

125

126

127

128

129

130

131

132

133

134

135

136

137

138

139

140

141

142

143

144

145

146

147

148

149

150

151

152

153

154

155

156

157

158

159

160

161

162

163

164

165

166

167

168

169

170

171

172

173

174

175

176

177

178

179

180

181

182

183

184

185

186

187

188

189

190

191

192

193

194

195

196

197

198

199

200

201

202

203

204

205

206

207

208

209

210

211

212

213

214

215
<?php

// A Library of Matrix Math functions.

// All assume a Matrix defined by a 2 dimensional array, where the first

// index (array[x]) are the rows and the second index (array[x][y])

// are the columns

// First create a few helper functions

// A function to determine if a matrix is well formed. That is to say that

// it is perfectly rectangular with no missing values:

function _matrix_well_formed($matrix) {

// If this is not an array, it is badly formed, return false.

if (!(is_array($matrix))) {

return false;

} else {

// Count the number of rows.

$rows = count($matrix);

// Now loop through each row:

for ($r = 0; $r < $rows; $r++) {

// Make sure that this row is set, and an array. Checking to

// see if it is set is ensuring that this is a 0 based

// numerically indexed array.

if (!(isset($matrix[$r]) && is_array($matrix[$r]))) {

return false;

} else {

// If this is row 0, calculate the columns in it:

if ($r == 0) {

$cols = count($matrix[$r]);

// Ensure that the number of columns is identical else exit

} elseif (count($matrix[$r]) != $cols) {

return false;

}

// Now, loop through all the columns for this row

for ($c = 0; $c < $cols; $c++) {

// Ensure this entry is set, and a number

if (!(isset($matrix[$r][$c]) &&

is_numeric($matrix[$r][$c]))) {

return false;

}

}

}

}

}

// Ok, if we actually made it this far, then we have not found

// anything wrong with the matrix.

return true;

}

// A function to return the rows in a matrix -

// Does not check for validity, it assumes the matrix is well formed.

function _matrix_rows($matrix) {

return count($matrix);

}

// A function to return the columns in a matrix -

// Does not check for validity, it assumes the matrix is well formed.

function _matrix_columns($matrix) {

return count($matrix[0]);

}

// This function performs operations on matrix elements, such as addition

// or subtraction. To use it, pass it 2 matrices, and the operation you

// wish to perform, as a string: '+', '-'

function matrix_element_operation($a, $b, $operation) {

// Verify both matrices are well formed

$valid = false;

if (_matrix_well_formed($a) && _matrix_well_formed($b)) {

// Make sure they have the same number of columns & rows

$rows = _matrix_rows($a);

$columns = _matrix_columns($a);

if (($rows == _matrix_rows($b)) &&

($columns == _matrix_columns($b))) {

// We have a valid setup for continuing with element math

$valid = true;

}

}

// If invalid, return false

if (!($valid)) { return false; }

// For each element in the matrices perform the operatoin on the

// corresponding element in the other array to it:

for ($r = 0; $r < $rows; $r++) {

for ($c = 0; $c < $columns; $c++) {

eval('$a[$r][$c] '.$operation.'= $b[$r][$c];');

}

}

// Return the finished matrix:

return $a;

}

// This function performs full matrix operations, such as matrix addition

// or matrix multiplication. As above, pass it to matrices and the

// operation: '*', '-', '+'

function matrix_operation($a, $b, $operation) {

// Verify both matrices are well formed

$valid = false;

if (_matrix_well_formed($a) && _matrix_well_formed($b)) {

// Make sure they have complementary numbers of rows and columns.

// The number of rows in A should be the number of columns in B

$rows = _matrix_rows($a);

$columns = _matrix_columns($a);

if (($columns == _matrix_rows($b)) &&

($rows == _matrix_columns($b))) {

// We have a valid setup for continuing

$valid = true;

}

}

// If invalid, return false

if (!($valid)) { return false; }

// Create a blank matrix the appropriate size, initialized to 0

$new = array_fill(0, $rows, array_fill(0, $rows, 0));

// For each row in a ...

for ($r = 0; $r < $rows; $r++) {

// For each column in b ...

for ($c = 0; $c < $rows; $c++) {

// Take each member of column b, with each member of row a

// and add the results, storing this in the new table:

// Loop over each column in A ...

for ($ac = 0; $ac < $columns; $ac++) {

// Evaluate the operation

eval('$new[$r][$c] += $a[$r][$ac] '.

$operation.' $b[$ac][$c];');

}

}

}

// Return the finished matrix:

return $new;

}

// A function to perform scalar operations. This means that you take the scalar value,

// and the operation provided, and apply it to every element.

function matrix_scalar_operation($matrix, $scalar, $operation) {

// Verify it is well formed

if (_matrix_well_formed($matrix)) {

$rows = _matrix_rows($matrix);

$columns = _matrix_columns($matrix);

// For each element in the matrix, multiply by the scalar

for ($r = 0; $r < $rows; $r++) {

for ($c = 0; $c < $columns; $c++) {

eval('$matrix[$r][$c] '.$operation.'= $scalar;');

}

}

// Return the finished matrix:

return $matrix;

} else {

// It wasn't well formed:

return false;

}

}

// A handy function for printing matrices (As an HTML table)

function matrix_print($matrix) {

// Verify it is well formed

if (_matrix_well_formed($matrix)) {

$rows = _matrix_rows($matrix);

$columns = _matrix_columns($matrix);

// Start the table

echo '<table>';

// For each row in the matrix:

for ($r = 0; $r < $rows; $r++) {

// Begin the row:

echo '<tr>';

// For each column in this row

for ($c = 0; $c < $columns; $c++) {

// Echo the element:

echo "<td>{$matrix[$r][$c]}</td>";

}

// End the row.

echo '</tr>';

}

// End the table.

echo "</table>/n";

} else {

// It wasn't well formed:

return false;

}

}

// Let's do some testing. First prepare some formatting:

echo "<mce:style><!--

table { border: 1px solid black; margin: 20px; }

td { text-align: center; }

--></mce:style><style mce_bogus="1">table { border: 1px solid black; margin: 20px; }

td { text-align: center; }</style>/n";

// Now let's test element operations. We need identical sized matrices:

$m1 = array(

array(5, 3, 2),

array(3, 0, 4),

array(1, 5, 2),

);

$m2 = array(

array(4, 9, 5),

array(7, 5, 0),

array(2, 2, 8),

);

// Element addition should give us: 9 12 7

// 10 5 4

// 3 7 10

matrix_print(matrix_element_operation($m1, $m2, '+'));

// Element subtraction should give us: 1 -6 -3

// -4 -5 4

// -1 3 -6

matrix_print(matrix_element_operation($m1, $m2, '-'));

// Do a scalar multiplication on the 2nd matrix: 8 18 10

// 14 10 0

// 4 4 16

matrix_print(matrix_scalar_operation($m2, 2, '*'));

// Define some matrices for full matrix operations.

// Need to be complements of each other:

$m3 = array(

array(1, 3, 5),

array(-2, 5, 1),

);

$m4 = array(

array(1, 2),

array(-2, 8),

array(1, 1),

);

// Matrix multiplication gives: 0 31

// -11 37

matrix_print(matrix_operation($m3, $m4, '*'));

// Matrix addition gives: 9 20

// 4 15

matrix_print(matrix_operation($m3, $m4, '+'));

?>

希望本文所述对大家PHP程序设计有所帮助。

收藏 (0) 打赏

感谢您的支持,我会继续努力的!

打开微信/支付宝扫一扫,即可进行扫码打赏哦,分享从这里开始,精彩与您同在
点赞 (0)

声明:本站所有文章,如无特殊说明或标注,均为本站原创发布。任何个人或组织,在未征得本站同意时,禁止复制、盗用、采集、发布本站内容到任何网站、书籍等各类媒体平台。如若本站内容侵犯了原著者的合法权益,可联系我们进行处理。

快网idc优惠网 建站教程 PHP使用数组实现矩阵数学运算的方法示例 https://www.kuaiidc.com/94985.html

相关文章

发表评论
暂无评论