4. A material used in the construction industry contains an impurity suspected of having an adverse effect upon the materials performance in resisting long-term operational stresses. Percentages of impurity and performance indexes for seven specimens of this material are presented in Table 1. Solve y(248) using Gauss Forward and Gauss Backward Interpolation method. Table 1 x 100 150 200 250 300 350 400 y 10.63 13.03 15.04 16.81 18.42 19.90 21.27

Advanced Engineering Mathematics
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ISBN:9780470458365
Author:Erwin Kreyszig
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Chapter2: Second-order Linear Odes
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4. A material used in the construction industry contains an
impurity suspected of having an adverse effect upon the
materials performance in resisting long-term operational
stresses. Percentages of impurity and performance indexes for
seven specimens of this material are presented in Table 1.
Solve y(248) using Gauss Forward and Gauss Backward
Interpolation method.
Table 1
x 100 150 200 250 300 350 400
y 10.63 13.03 15.04 16.81 18.42 19.90 21.27
Transcribed Image Text:4. A material used in the construction industry contains an impurity suspected of having an adverse effect upon the materials performance in resisting long-term operational stresses. Percentages of impurity and performance indexes for seven specimens of this material are presented in Table 1. Solve y(248) using Gauss Forward and Gauss Backward Interpolation method. Table 1 x 100 150 200 250 300 350 400 y 10.63 13.03 15.04 16.81 18.42 19.90 21.27
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