Make a k-map for each output segment (a, b, c, d, e, f, g) and write a Boolean function that describes each output as a function of inputs (and their complements). Fill in the resulting functions below.

In Kotlin, Write and call a function with an expression body that takes three doubles, a, b, and c, and returns True if a, b, and c are a Pythagorean triple (ie if they are possible lengths for the sides of a right triangle), otherwise False.  The function must return True if the parameters are a Pythagorean triple, irrespective of the order in which they are given; for example, it must return True for 3.0 4.0 5.0 as well as for 3.0 5.0 4.0, etc. Use the || logical or operator to string together the cases in which you should return True, which you should evaluate using the function you wrote in the last question.

Write a function in MATLAB that has two inputs: - A shear load (as the first input) - A tensile load (as the second input)   Have your function return one output, a string with the name of the lowest grade material from Table 1 that can handle those loads.

Write a function called findCurrents( ) that takes in as input the number of panels and returns a vector of currents in each branch. Let the source voltage, Vs, be 100V and the value of each resistance be 1500 ohms.

Given a vector of real numbers r = (r1, r2, ..., rm). We can standardize the vector using the formulation: vi = "im, where m ri-m is the mean of the vector r, and s is the standard deviation of r. The vector v = (v1, v2, ..., Un) will be the scaled vector. Write a Python function scale_vec (r) that takes the vector r as input and returns the scaled vector v. Sample inputs and outputs: ● Input: np.array([1, 3, 5]), output: [-1.22474487 0. 1.22474487] • Input: np. array([3.3, 1.2, -2.7, -0.6]), output: [1.35457092 0.40637128 -1.35457092 -0.40637128] Hint: Use numpy.mean and numpy.std with default parameters. # Write your function here. Let's test your function. [ ] import numpy as np print (scale_vec (np.array([1, 3, 5]))) print (scale_vec (np.array([3.3, 1.2, -2.7, -0.6])))

don't use others answers

Write MATLAB code that will plot the function x² - 10x + 25 over the x values 0 to 10 on a regular plot (use the command plot) using 21 evenly spaced points with the linspace command in one subplot and then for the second subplot, plot the same function over the x values 10-¹ to 10 ¹ using 21 evenly spaced points on a semi logarithmic plot (use the command semilogx). Put markers on each point used in the calculations (using a circle, x, or +, your choice) using a different marker and color for each plot, and include axis labels on each subplot. If the code is written correctly, your subplots should appear like the ones below. 25 y-axis 20 15 10 X 5 0 0 2 4 x-axis 6 8 10 25 PO 20 y-axis 15 10 5 0 10-1 O Copy/paste your code that will create the subplots in the text box below. 0 0 0 0 0 0 0 10⁰ x-axis 0 0 0 0 0 10¹

Make a k-map for each output segment (a, b, c, d, e, f, g) and write a Boolean function which describes each output as a function of inputs (and their complements). Fill in the resulting functions below.  a:

We can assign a value to each character in a word, based on their position in the alphabet (a = 1, b = 2, ..., z = 26). A balanced word is one where the sum of values on the left-hand side of the word equals the sum of values on the right-hand side. For odd length words, the middle character (balance point) is ignored. Write a function that returns true if the word is balanced, and false if it's not. Examples balanced ("zips") → true // "zips" = "zi|ps" = 26+9|16+19 = 35|35 = true balanced ("brake") // "brake" = "br|ke" false = 2+18 | 11+5 = 20 16 = false

In Kotlin, Write a function with an expression body that takes three doubles, a, b, and c, and returns True if c is the square root of (a squared plus b squared). You may use == to test for equality