Podcast
Questions and Answers
What does the efficiency of an algorithm measure?
What does the efficiency of an algorithm measure?
- The quality of input (good, bad, or average)
- The speed of the CPU, bus, and peripheral hardware
- The number of primitive steps that are executed
- The amount of resources consumed in solving a problem of size n (correct)
What is the main focus of Memory/Space Analysis in the context of algorithms?
What is the main focus of Memory/Space Analysis in the context of algorithms?
- Analyzing the efficiency of the programmer
- Determining the computational time
- Predicting the required resources (correct)
- Measuring the number of primitive steps executed
What criteria affect the running time of an algorithm?
What criteria affect the running time of an algorithm?
- Speed of CPU, bus, and peripheral hardware
- Quality of input (good, bad, or average)
- Language used and coding efficiency of the programmer
- All of the above (correct)
What should programs derived from two algorithms for solving the same problem be?
What should programs derived from two algorithms for solving the same problem be?
What does it mean to analyze an algorithm?
What does it mean to analyze an algorithm?
Efficiency of an algorithm is solely determined by its running time.
Efficiency of an algorithm is solely determined by its running time.
The running time of an algorithm is affected by factors such as speed of CPU, bus and peripheral hardware design, and programming time.
The running time of an algorithm is affected by factors such as speed of CPU, bus and peripheral hardware design, and programming time.
Memory/Space Analysis in the context of algorithms is concerned with predicting the required computational resources.
Memory/Space Analysis in the context of algorithms is concerned with predicting the required computational resources.
Programs derived from two algorithms for solving the same problem should be machine independent.
Programs derived from two algorithms for solving the same problem should be machine independent.
To analyze an algorithm is to determine the amount of resources necessary to execute it, including computational time, memory, and communication bandwidth.
To analyze an algorithm is to determine the amount of resources necessary to execute it, including computational time, memory, and communication bandwidth.
