Which condition makes A* search algorithm optimal?

Which algorithm is commonly used in two-player zero-sum games?

Which data structure is typically used to implement Depth-First Search (DFS)?

Zordan Tools Corporation makes and sells brushes and combs. The following data are pertinent to each respective product:     Brushes Combs Selling price per unit $52 $54 Direct material per unit $23 $15 Direct labor hours per unit 0.5 hours 0.4 hours Variable overhead per unit $16 $29   The company hires 5 employees, each working up to 8 hours per day. They are paid $20 per hour. Assuming the company can sell all that it produces, it should produce [brushes] units of brushes and [combs] units of combs per month (assuming a 30-day month).

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Crammers Rule Q1. Use Crammer’s rule to find the solution to the following augmented matrix. Show your work, and clearly circle the values of the determinate of the coefficient matrix D, then that of , and   Please note I am using the notation given in Instructor Video. Using Cramer’s rule to solve a 3×3 system  

The exit of the stomach, located at the distal end.

What happens when the following code executes? Explain why.   print(“Bluey went to see her first movie titled “Chunky Chimp”)

The average cost (COST) of heating a home is a function of outside Temperature (TEMP), thickness of Insulation (INSUL) and Age of furnace (AGE). Data is collected on these variables and a regression analysis is done on the data. An incomplete MS Excel output is shown below. Regression Statistics         Multiple R           R Square           Adjusted R Square           Standard Error           Observations                        ANOVA             df SS MS F Signifcance F Regression   171220       Residual           Total 19 212916                     Coefficients Standard Error t Stat P-Value Lower 95% Intercept 427 59.6 7.17     TEMPT (X1)   0.7723 -5.93     INSUL (X2) -14.8 4.754       AGE (X3) 11.1 4.012         The estimate of the coefficient  is: 

The average cost (COST) of heating a home is a function of outside Temperature (TEMP), thickness of Insulation (INSUL) and Age of furnace (AGE). Data is collected on these variables and a regression analysis is done on the data. An incomplete MS Excel output is shown below.   Regression Statistics         Multiple R           R Square           Adjusted R Square           Standard Error           Observations                        ANOVA             df SS MS F Signifcance F Regression   171220       Residual           Total 19 212916                     Coefficients Standard Error t Stat P-Value Lower 95% Intercept 427 59.6 7.17     TEMPT (X1)   0.7723 -5.93     INSUL (X2) -14.8 4.754       AGE (X3) 11.1 4.012         The sample size is