'প্রযুক্তিতে নতুনের ছোঁয়া': Algorithm

Time complexity

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<span style="background-color: white; color: #222222; font-family: arial, sans-serif; font-size: 16px; line-height: 19px;">In computer science, the </span><b style="background-color: white; color: #222222; font-family: arial, sans-serif; font-size: 16px; line-height: 19px;">time complexity</b><span style="background-color: white; color: #222222; font-family: arial, sans-serif; font-size: 16px; line-height: 19px;"> of an algorithm quantifies the amount of </span><b style="background-color: white; color: #222222; font-family: arial, sans-serif; font-size: 16px; line-height: 19px;">time</b><span style="background-color: white; color: #222222; font-family: arial, sans-serif; font-size: 16px; line-height: 19px;"> taken by an algorithm to run as a function of the length of the string representing the input</span><span style="background-color: white; color: #222222; font-family: arial, sans-serif; font-size: 16px; line-height: 19px;">. The </span><b style="background-color: white; color: #222222; font-family: arial, sans-serif; font-size: 16px; line-height: 19px;">time complexity</b><span style="background-color: white; color: #222222; font-family: arial, sans-serif; font-size: 16px; line-height: 19px;"> of an algorithm is commonly expressed using big O notation, which excludes coefficients and lower order terms.</span><br />
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Source : <span style="background-color: white; color: #252525; font-family: sans-serif; font-size: 12.880000114440918px; line-height: 20px; text-align: left;"> </span><span style="background-color: white; color: #252525; font-family: sans-serif; font-size: 12.880000114440918px; line-height: 20px; text-align: left;">Wikipedia</span></div>
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