Hexadecimal numbers:
In mathematics, hexadecimal numbers are positional numbers with a base or a radix of “16” which uses symbols “0–9” to represent values zero to nine, and “A–F” (or alternatively “a–f”) to represent values ten to fifteen.
Given Instruction:
Explanation of Solution
Hexadecimal numbers Operations:
Step-1:
Converting “
Hexadecimal numbers are written with the base of “16”, which means that each digit takes 4 bits as “
Base 16 uses symbols “0–9” to represent values zero to nine, and “A–F” (or alternatively “a–f”) to represent values ten to fifteen.
The 16 digits of hexadecimal representation are: 0,1,2,3,4,5,6,7,8,9,A,B,C,D,E,F
“
=
Hence, the decimal value of “
Step-2:
Converting “
Hence, the decimal value of “
Step-3:
Performing “
As the numbers are represented in unsigned magnitude format, a simple subtraction operation occur which results in:
Step-4:
The above value is in decimal format and hence one needs to convert the result into hexadecimal form.
In order to convert the value into hexadecimal, one needs to find the biggest power of 16.
“
Now, one needs to divide the number by the highest power to see how many times it fits, which results as:
Now “
“
Now, the next power that fits in this number is “
Also, “
Next, one needs to subtract the above result:
“
The next power that fits is “
Hence, “
Hence, the unsigned operation “
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Chapter 3 Solutions
COMPUTER ORGANIZATION+DESIGN >I<
- Refer to page 95 for problems on optimizing functions using gradient descent. Instructions: Apply gradient descent to minimize the given cost function. Derive the gradients for each parameter and show the iterative updates. • Plot the convergence of the cost function with respect to iterations and verify correctness. Link: [https://drive.google.com/file/d/1wKSrun-GlxirS31Z9qoHazb9tC440 AZF/view?usp=sharing]arrow_forwardRefer to page 90 for problems on parallelizing matrix multiplication. Instructions: • Implement a parallel matrix multiplication algorithm using thread-level parallelism. Analyze the speedup and efficiency compared to the sequential approach. • Include performance metrics and test the implementation on different matrix sizes. Link: [https://drive.google.com/file/d/1wKSrun-GlxirS31Z9qoHazb9tC440 AZF/view?usp=sharing]arrow_forwardRefer to page 85 for problems involving the A* search algorithm. Instructions: Implement the A* algorithm for the given problem, defining the heuristic function explicitly. Trace the algorithm's steps, showing the open and closed lists at each iteration. • Verify the optimality of the solution by analyzing the heuristic used. Link: [https://drive.google.com/file/d/1wKSrun-GlxirS31Z9qoHazb9tC440AZF/view?usp=sharing]arrow_forward
- Refer to page 12 for problems on binary search trees (BSTs). Instructions: Construct a BST for the given set of elements. • Perform in-order, pre-order, and post-order traversals, showing the sequence of visited nodes. • Implement and explain operations such as insertion, deletion, and search. Link: [https://drive.google.com/file/d/1wKSrun-GlxirS3IZ9qo Hazb9tC440 AZF/view?usp=sharing]arrow_forwardRefer to page 55 for problems on cache memory. Instructions: • Solve a problem involving direct-mapped, set-associative, or fully associative cache. • Compute hit/miss ratios and explain the memory address mapping process. Show all calculations and verify your results with a sample memory access sequence. Link: [https://drive.google.com/file/d/1wKSrun-GlxirS3IZ9qoHazb9tC440 AZF/view?usp=sharing]arrow_forwardRefer to page 45 for problems involving software design patterns. Instructions: • Implement the given design pattem (e.g., Singleton, Factory, Observer) in a programming language of your choice. Provide a detailed explanation of the design and its benefits in the given context. Verify correctness by showing outputs for sample inputs. Link: [https://drive.google.com/file/d/1wKSrun-GlxirS3IZ 9qoHazb9tC440 AZF/view?usp=sharing]arrow_forward
- Refer to page 8 for problems on shortest path algorithms. Instructions: Implement and analyze Dijkstra's or Bellman-Ford algorithm for the given graph. • Demonstrate all steps, including initialization and updates at each iteration. Verify the correctness of the solution by comparing it to an alternate method. Link: [https://drive.google.com/file/d/1wKSrun-GlxirS3IZ9qo Hazb9tC440AZF/view?usp=sharing]arrow_forwardRefer to page 50 for problems related to hashing. Instructions: • Implement a hash table with collision resolution techniques (e.g., chaining or open addressing). • Insert and search for elements, showing intermediate states of the hash table. • Analyze the time complexity for each operation and verify with sample inputs. Link: [https://drive.google.com/file/d/1wKSrun-GlxirS31Z9qoHazb9tC440 AZF/view?usp=sharing]arrow_forwardRefer to page 5 for analyzing sorting algorithms. Instructions: • Explain and implement the given sorting algorithm (e.g., Merge Sort, Quick Sort, or Heap Sort). • Analyze the time and space complexity of the algorithm. • Provide a detailed walkthrough with an example, showing intermediate steps and comparisons. Link: [https://drive.google.com/file/d/1wKSrun-GlxirS3IZ9qoHazb9tC440AZF/view?usp=sharing]arrow_forward
- For a hierarchical carry look-ahead adder, GO can be written like below. Find the gate delay needed to obtain GO without fan-in and with a fan-in of 3 inputs. GO=g7+p7g6+p7p6g5+p7p6p5g4+p7p6p5p4g3+p7p6p5p4p3g2+p7p6p5p4p3p2g1+p7p6p 5p4p3p2p1g0 Select one: a. O b. GOO B B GO without fan-in limitation will require 3 gate delays GO with fan-in limitation of 3 will require 5 gate delays GO without fan-in limitation will require 4 gate delays • GO with fan-in of 3 will require 3 gate delays C. • GO without fan-in limitation will require 5 gate delays GO with fan-in limitation of 3 will require 3 gate delays O d. GO without fan-in limitation will require 2 gate delays GO with fan-in limitation of 3 will require 4 gate delaysarrow_forward1. Show that S₁ = S2 if and only if S₁ U S2 = S₁n S2. 2. Show that if S1 and S2 are finite sets with |S₁ = n and |S₂| = m, then S₁ U S2 ≤n+m. 3. If language L is regular and is given by L ={awa : w = {a, b} *} Then show that L² is regular.arrow_forwardProblem 3: Consider the two-link planar elbow manipulator shown below with link information: a₁ = 3, a₂ = 3. a2 S 3/0 Link | a | ai | di ai | di | 0i | มา 02 21 02. 12 01 0 0 01 02 0 0 02 01 To (a) Find the location of the end-effector P° if the joint angles are: 0₁ = 140°, 0₂ = 30° (b) Find the values of joint variables 01, 02 if the robotic manipulator is commanded to reach the desired location of Pº = [4.5, 3,0]. Notice there are possibly two sets of solutions. (c) Also sketch the two poses of the robot for the computed joint variables. Page 5 of 7arrow_forward
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