Speed Profile - Numerical Integration

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SUMMARY

The discussion focuses on calculating the total distance traveled by an object using its speed profile, specifically through numerical integration with the Trapezium Rule. The user seeks to integrate the velocity function defined as V(x) = x² + b·x + c·1 + d·(1/x) and its absolute value for the speed profile Sp(x). The integration process requires determining the h value, N value, and total area under the curve, starting with h = 0.1 and refining until the results converge within 0.0005. The user requests assistance in applying these calculations to provided data sets.

PREREQUISITES
  • Understanding of numerical integration techniques, specifically the Trapezium Rule.
  • Familiarity with calculus concepts, including velocity and speed profiles.
  • Basic knowledge of polynomial functions and their coefficients.
  • Ability to interpret and manipulate data sets for integration.
NEXT STEPS
  • Learn how to implement the Trapezium Rule in Python or MATLAB for numerical integration.
  • Study the convergence criteria for numerical methods to ensure accuracy in calculations.
  • Explore polynomial function behavior, particularly with undefined points like x = 0.
  • Practice with various data sets to apply the integration technique and validate results.
USEFUL FOR

Students in physics or engineering, mathematicians, and anyone involved in numerical analysis or computational methods for solving integration problems.

Hurly
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Homework Statement



I need to find total distance traveled for an object using the speed profile

which is the absolute value of velocity before integrating. so we finish up with the total distance travelled, rather than the final displacement from the initial position.

And this is the function i need to numerically integrate using the The Trapezium Rule.
Needed Values:

The h Value-
The N Value-
The Total Area-

I Have Data Sets Which is Shown In The Picture Below

http://imageshack.us/f/69/numericalintegration.png/

NOTE:
Calculate the total area under the curve for a data set, starting with an h value of 0.1 and then continuing with h = 0.01, 0.001, etc. until the latest two calculations are within 0.0005of each other, or h becomes 0.00001.

Could Someone Use One of The Data Sets to Show Hows it Done Then i'll Do The Rest of Them


Homework Equations



Velocity Profile V(x) = x2+ b. x1+c x0+ d.x-1

defined by the 3 coefficients for the powers of x1, x0, and x-1:
Remember that
x1 = x
x0 = 1
x-1 = \frac{1}{x}

So, the most interesting thing about this velocity profile is that it is undefined when x equals 0.

Speed Profile Sp(x) = |x2+ b. x1+c x0+ d.x-1|

Areai = h \frac{F(x<sub>i</sub>)+F(x<sub>i+1</sub>)}{2}

with Xi+1 = x1+h

N = \frac{(x<sub>final</sub>-x<sub>initial</sub>)}{h}

Total Area = Sum of the Areai values from 0 to N-1

The Attempt at a Solution



|x2+ b. x1+c x0+ d.x-1|
|x2+ 1. x1+4 x0+ -6.x-1|
 
Last edited:
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Please Help =(
 
Can Anyone Help me or Point me in the right direction>?
 

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