| № |
Condition |
free/or 0.5$ |
| m83640 | Why can we normalize so that μ = 1 in the previous proof? |
buy |
| m83642 | Why is the existence of an optimal choice essential for a well-defined formulation of the consumer s problem? |
buy |
| m83643 | Why would anti symmetry be an inappropriate assumption for the consumer s preference relation? |
buy |
| m83663 | x belongs to the core if and only if no coalition has a positive deficit, that is,
core = {x ∈ X : d(S, x) < 0 for every S ⊂ g <br> </span> </div> </div> <!-- Google Adword Banner--> <div class="google-adword-banner"> <div class="adword-banner"> <script async src="//pagead2.googlesyndication.com/pagead/js/adsbygoogle.js"></script> <!-- question_page --> <ins class="adsbygoogle" style="display:inline-block;width:730px;height:90px" data-ad-client="ca-pub-4274030376980924" data-ad-slot="7315349492"></ins> <script> (adsbygoogle = window.adsbygoogle || []).push({}); </script> </div> </div> <!-- Relevant Question Section--> <div class="related-question-section"> <span class="related-question-section-heading">Students also viewed these questions</span> <br> <br> <!--Question--> <div class="related-question-statment"> <span class="question-icon-complete-placement"><img src="includes/images/rewamp/question_membership/supported-images/Q_small.png" class="image-text-positioning"></span> <span class="no-padding question-statement-complete-placement"> <span class="related-question-statement-styling"><a href="/show-that-nu-core-assuming-that-core-">Show that Nu ⊂ core assuming that core ≠ ϕ. </a></span> </span> </div><div class="related-question-statment"> <span class="question-icon-comp |
buy |
| m83666 | x is an upper bound of
x is a lower bound of |
buy |
| m85476 | Develop, debug, and test a program in either a high-level language or macro language of your choice to implement linear regression. Among other things:
(a) Include statements to document the code, and
(b) Determine the standard error and the coefficient of determination. |
buy |
| m85477 | Develop, debug, and test a program in either a high-level language or macro language of your choice to implement Newton’s interpolating polynomial based on Figure. |
buy |
| m85478 | Develop, debug, and test a program in either a high-level language or macro language of your choice to implement Lagrange interpolation. Base it on the pseudocode from Figure. Test it by duplicating Example 18.7. |
buy |
| m85479 | Develop, debug, and test a program in either a high-level language or macro language of your choice to implement cubic spline interpolation based on Figure. Test the program by duplicating Example 18.10. |
buy |
| m92024 | A beam is loaded as shown in figure. Use the bisection method to solve for the position inside the beam where there is nomoment. |
buy |
| m92651 | A temperature function is
ƒ(x, y) = 2x3y2 – 7xy + x2 + 3y
Develop a one-dimensional function in the temperature gradient direction at the point (1, 1). |
buy |
| m92671 | (a) Use MATLAB to fit a cubic spline to the following data:
Determine the value of y at x = 1.5.
(b) Repeat (a), but with zero first derivatives at the end knots. Note that the MATLAB help facility describes how to prescribe endderivatives. |
doc |
| m93335 | Determine the condition number based on the row-sum norm for the normalized 5 x 5 Hilbert matrix. How many significant digits of precision will be lost due to ill-conditioning? |
buy |
| m93347 | Determine the currents for the circuit inFigure. |
buy |
| m94401 | Given
dy/dx = – 200,000y + 200,000e–x – e–x
(a) Estimate the step-size required to maintain stability using the explicit Euler method.
(b) If y(0) = 0, use the implicit Euler to obtain a solution from x =0 to 2 using a step size of 0.1. |
buy |
| m94437 | Hooke’s 1aw, which holds when a spring is not stretched too far, signifies that the extension of the spring and the applied force are linearly related. The proportionality is parameterized by the spring constant k. A value for this parameter can be established experimentally by placing known weights onto the spring and measuring the resulting compression. Such data is contained in Table P20.45 and plotted in Figure. Notice that above a weight of 40 x 104 N, the linear relationship between the force and displacement breaks down. This sort of behavior is typical of what is termed a “hardening spring.” Employ linear regression to determine a value of k for the linear portion of this system. In addition, fit a nonlinear relationship to the nonlinearportion. |
buy |
| m95988 | Perform the same computation as in Sec. 24.3, but for the current as specified by
i(t) = 5e-1.25t sin 2πt for 0 ≤ t ≤ T/2
i(t) = 0 for/ T/2 ≤ t ≤ T
Where T = I s. Use five-point Gauss quadrature to estimate the integral. |
buy |
| m97459 | Use the program developed in Prob. 7.8 to determine the roots of the equations in Prob. 7.5. |
buy |
| m97539 | Using the same approach as was employed to derive Eqs. (17.15) and (17.16), derive the least-squares fit of the following model:
y = α1x + α2x2 + e
That is, determine the coefficients that results in the least-squares fit for a second-order polynomial with a zero intercept. Test the approach by using it to fit the data from Prob. 17.26. |
buy |
| m98009 | Perform the same computation as in Sec. 12.3, but for the circuit depicted inFigure. |
buy |