-
Notifications
You must be signed in to change notification settings - Fork 0
Expand file tree
/
Copy pathlol.html
More file actions
323 lines (297 loc) · 19 KB
/
lol.html
File metadata and controls
323 lines (297 loc) · 19 KB
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
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
<html xmlns="http://www.w3.org/1999/xhtml" xml:lang="en" lang="en">
<head>
<title>Lab2</title>
<link rel="stylesheet" href="css/Main.css" type="text/css" />
</head>
<body>
<div class="page">
<h1 class="f-s_14 text_center">
Міністерство освіти і науки України<br/>
Національний технічний університет України<br/>
“Київський політехнічний інститут імені Ігоря Сікорського”
</h1>
<p class="text_center m-t_5p">Кафедра Прикладної Математики</p>
<p class="m-t_20p text_center">Лабораторна робота № 2</p>
<p class="text_center">з дисципліни “Методи обчислень”</p>
<div class="p_10p">
<p>
<b>Виконав:</b>
</p>
<p>
<b> Студент групи КМ-43 Ігнатьєв Богдан</b>
</p>
<p class="m-t_30pt">
<b>Перевірив:</b>
</p>
<p>
<b>Викладач Любашенко Оцінка ____________ </b>
</p>
</div>
<span class="bottom">Київ-2016</span>
</div>
<div class="page">
<h2 class="text_center">
ЗМІСТ
</h2>
<ol class="title">
<li>
<span class="title_item">
ЗАВДАННЯ ДЛЯ ЛАБОРАТОРНОЇ РОБОТИ
</span>
<span class="title_item_number">
3
</span>
</li>
</ol>
</div><div class='page'><h1>1. ЗАВДАННЯ ДЛЯ ЛАБОРАТОРНОЇ РОБОТИ</h1>
<h2>
1. Користуючись інтерполяційною схемою Ейткена, обчислити з точністю до
<img src="data:image/gif;base64,R0lGODlhIwAWAPUAAAAAAAMDAwUFBQcHBx4eHiIiIikpKS0tLS8vLzg4ODo6Oj4+PkREREtLS01N
TVFRUVVVVVxcXG9vb3Nzc3p6epWVlZmZmZycnJ6enqCgoKKioqioqKqqqq2tra+vr7GxsbOzs7W1
tbe3t7u7u76+vsLCwsTExMbGxsjIyMrKytfX19nZ2dvb293d3eDg4OLi4uTk5Obm5urq6uzs7O7u
7vPz8/n5+fv7+/39/f///wAAAAAAAAAAAAAAAAAAAAAAACwAAAAAIwAWAEUIxABzCBxIsKDBgwgF
dqjg4AFBDxQEThCRA4eGixhP5BAxY0aDGDYOXnA4cIEJgSMYJFzJsmVBHAlCiiSZY8MAggM8uNzJ
s6fPn0AHsmjxQKbBkQNXBBiIA4ALliUOZLgxc2AIAQQDUAyK0AYIETi4ih37s0VYsgdHFEUoA0NB
FBcspGg5IsfaqgMLvBD4wsBKFSVKKCBRA2+ODzcHCgAhFqlADokF5mxMcwaAszYA0Ah6QgICAhLc
5mgBQYaMCDDQql69MiAAOw==" class="inline_latex"/>
значення даної функції в заданій точці x
</h2>
<p>
Функція y = f(x) задана таблицею:
</p>
<img src="data:image/gif;base64,R0lGODlh0AE4APcAAAAAAAMDAwUFBQcHBwkJCQsLCw0NDQ8PDxERERYWFhoaGhwcHB4eHiAgICIi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" class=""/>
<p>
Вариант 7:
</p>
<p>x = 1.182</p>
<h2>
2. Функція f(x) задана таблицею значень.
Користуючись першою інтерполяційною формулою Ньютона другого степеня,
знайти значення функції f(x) для заданого аргумента х.
Оцінити похибку отриманого результату.
</h2>
<p>
Вариант 7:
</p>
<p>x = 1.06</p>
<img src="data:image/gif;base64,R0lGODlhRAFuAPcAAAAAAAMDAwUFBQcHBwkJCQsLCw0NDQ8PDxERERYWFhoaGhwcHB4eHiAgICIi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==" class=""/>
</div>
<br/>###VAR_DUMP###<br/>1.4648074999999998
<br/>###VAR_DUMP_END###<br/><br/>###VAR_DUMP###<br/>1.476909800000001
<br/>###VAR_DUMP_END###<br/><br/>###VAR_DUMP###<br/>1.4771418500000002
<br/>###VAR_DUMP_END###<br/><br/>###VAR_DUMP###<br/>1.4917516415639098
<br/>###VAR_DUMP_END###<br/><br/>###VAR_DUMP###<br/>1.5105043757736556
<br/>###VAR_DUMP_END###<br/>1.5265265086395556
<br/>
<br/>
1.5265265086395563
<br/>
<br/>
<br/>###VAR_DUMP###<br/>"X length : "
10
<br/>###VAR_DUMP_END###<br/><br/>###VAR_DUMP###<br/>"Max Order : "
9
<br/>###VAR_DUMP_END###<br/>0.6529065896038401
</body>
</html>