Quydagi almashtrib bajarib ma’lum ixchamlashlardan so’ng
quydagiga ega bo’lamiz .
Endi bu parabolalarning quydagi chiziqli kambinatsiyasini olamiz:
Bu erda koefsentlari topish uchun hamda 1-chi, hamda 2-chi tartibli hosilalarni tugun nuqtalardagi ulanish shartlarni foydalangan holda m topiladi va quydagi tenglamalr sestemasi hosil bo’ladi
ma’lum bir soddalashtirishlardan keyin sistema quyidagi ko’rinishga keladi.
Ushbu tenglamalar sistemasi echilib ![](data:image/png;base64,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) koeffisentlar topiladi va biz ko’rayotgan defekti 1ga teng bo’lgan interpolyatsion ko’bik splayn quriladi.
Do'stlaringiz bilan baham: |