1. Compute the linear least squares polynomial for the data of Example 2 (repeated below). Yi 2 1 0.00 1.0000 2 0.25 1.2840 3 0.50 1.6487 4 0.75 2.1170 5 1.00 2.7183 Note: this can be done effectively...

From Numerical Analysis 8th edition by Richard Burden. This is #1 from Section 8.1

1. Compute the linear least squares polynomial for the data of Example 2 (repeated below).<br>Yi<br>2<br>1<br>0.00<br>1.0000<br>2<br>0.25 1.2840<br>3 0.50 1.6487<br>4 0.75 2.1170<br>5 1.00 2.7183<br>Note: this can be done effectively by hand - special case tabular method or with matrices.<br>

Extracted text: 1. Compute the linear least squares polynomial for the data of Example 2 (repeated below). Yi 2 1 0.00 1.0000 2 0.25 1.2840 3 0.50 1.6487 4 0.75 2.1170 5 1.00 2.7183 Note: this can be done effectively by hand - special case tabular method or with matrices.

Jun 04, 2022

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1. Compute the linear least squares polynomial for the data of Example 2 (repeated below). Yi 2 1 0.00 1.0000 2 0.25 1.2840 3 0.50 1.6487 4 0.75 2.1170 5 1.00 2.7183 Note: this can be done effectively...

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