Please solve these computer science problems from the given book: 1.2.2 Reference book: https://files.gitter.im/SamZhngQing Chuan/sam/DA1g/Steven- Halim-Felix-Halim-Competitive-Programming-3_-The-New- Lower-Bound-of-Programming-Contests-Lulu.com-2013_pdf 2 Steven Halim Felix Halim HANDBOOK FOR ACM ICPC AND IOI CONTESTANTS 2013

computer graphics  search about simple utility curve

In Computer Graphics, can you emphasize on what types of data uniforms are? Explaining in a very visual and detailed emphasis on what uniforms are?Including how they work in the case of implementing a material system. I know that when looking at a material, it contains some of these properties. A vertex array, shader/texture, and a uniform. I am confused on what information uniforms contain, and what does that tell us in the context of a Material or Material system?Using OpenGL code as an example, if you can also reference to the code I had also attached as well.

Using Microsoft Excel, create a spreadsheet to simulate a finite element analysis of heat transfer in a sheet of metal which is heated to soldering temperature at one corner. Assume that the temperature of any single cell is equal to the average of the temperatures of the four cells which share a side with it.   Create a 10 by 10 cell finite element model with the temperature of the top edge (all 10 cells) is held to 20 degrees C, and the temperature along the right side is also held to 20 degrees.  Make the lower left corner "hot" -- you can pick a value similar to a that of a soldering iron (look up temperatures of soldering iron tips).  You can then add values long the bottom going from high down to 20 degrees, decreasing from left to right -- choose any starting rate you like.  You can do the same for the left side, going from 20 degrees at the top and going up to the high temperature you have assigned in the lower left corner.  Once you have made sure your spread sheet model…

Submit solutions to the following problems in a single pdf document preferably completed using LaTeX. It is likely that you will need to use programming (Python) or a matrix calculator to solve most of the problems. You do not need to submit the code, but you should include explanations of all your conclusions. 1. Suppose a robot mouse is placed in a grid. Each room in the grid has doors that open to all other rooms. One room contains a trap so if the robot mouse enters that room, then the robot loses and the game ends. If the robot mouse makes it to the outside of the grid, then it wins and the game ends. Suppose the grid is 5x5 and the trap is in the third row, third column. When the robot mouse is placed in a room, it randomly selects a move left, right, up, or down until it is either trapped or reaches the outside. Assume that the starting point is never the room with the trap. What is the probability that the robot mouse will win the game? Does it depend on where the mouse begins?…

Code requirements: A robot is positioned on an integral point in a two-dimensional coordinate grid (xr, yr). There is a treasure that has been placed at a point in the same grid at (xt, yt). All x’s and y’s will be integral values. The robot can move up (North), down (South), left (West), or right (East). Commands can be given to the robot to move one position in one of the four direction. That is, “E” moves a robot one slot East (to the right) so if the robot was on position (3, 4), it would now be on (4, 4). The command N would move the robot one position north so a robot at position (4, 4) would be at (4, 5). Because the robot cannot move diagonally, the shortest distance between a robot at (xr, yr) and a treasure at (xt, yt) is | xr – xt | + | yr - yt | = ShortestPossibleDistance Write a recursive program which determines all the unique shortest possible paths from the robot to the treasure with the following stipulation: The robot may never move in the same direction more than…

on PYTHON \-----> 13 # set the title and x_label, y_label for temp graph_drawi... wind_temp.txt 1 import matplotlib.pyplot as plt 2 3 # A function to draw a line graph based on the given data 4 def draw_graph (dic_data): 14 plt.title("Temperature") 5 plt.figure() 6 15 plt.xlabel("Day") days = list(dic_data.keys()) 7 16 plt.ylabel("Celsius") values = list(dic_data.values()) 8 17 plt.savefig('temp_line.png') temps = [two_tuple [0] for two_tuple in values] 9 18 plt.clf() # clears figure for next plot winds = [two_tuple [1] for two_tuple in values] 10 19 11 20 21 # Plots winds as function of days in another plot file plt.plot(days, winds) 12 # Plots temps as function of days in one plot file plt.plot(days, temps) 13 22 23 24 25 26 # set the title and x_label, y_label for wind plt.title("Wind Speed") plt.xlabel("Day") plt.ylabel("km/h") plt.savefig('wind_line.png') You should complete only one code block: the function get_valid_data_source The function get_valid_data_source should open and…

please type your answer under the qeustion please.

Add the missing pieces from checkpoint B while using this code

Suppose you are using a search algorithm to solve the 15-puzzle problem (i.e., the 4x4 version of the sliding-block puzzle we discussed in class). What are the benefits and drawbacks of using a depth first search? What are the benefits and drawbacks of using a breadth first search?