Explanation: problems cannot be solved by any algorithm are called
undecidable problems
Can every problem be solved with algorithms?
Well, an algorithm is a sequence of steps that solves a problem. With that definition (and in fact most definitions of algorithm) any computer program is also an algorithm. Every Euler problem can be solved with a computer program, so the answer is
yes
.
Are there problems that Cannot be solved with algorithms?
Explanation: problems cannot be solved by any algorithm are called
undecidable problems
What problems can a computer not solve?
- A computer won’t solve broad, poorly defined problems. …
- A computer won’t save money by eliminating workers. …
- A computer won’t clean up the errors in your manual procedures. …
- A computer won’t do forecasting or trend analysis until a few years down the road.
What are the 5 properties of algorithm?
- Input specified.
- Output specified.
- Definiteness.
- Effectiveness.
- Finiteness.
What are five things algorithms must have?
- The inputs must be specified.
- The outputs must be specified.
- Definiteness.
- Effectiveness.
- Finiteness.
What are the most common problems with computers?
- The Computer Won’t Start. A computer that suddenly shuts off or has difficulty starting up could have a failing power supply. …
- The Screen is Blank. …
- Abnormally Functioning Operating System or Software. …
- Windows Won’t Boot. …
- The Screen is Frozen. …
- Computer is Slow. …
- Strange Noises. …
- Slow Internet.
What is the hardest problem in computer science?
A problem is “hard”
if it requires (or we think it requires)
“large” computational resources to solve, and “easy” if it doesn’t. “Large” depends on context but, in most contexts, a problem that can be solved in polynomial time is considered “easy”.
What are some everyday problems that need solutions?
- Low-cost, reliable internet access. …
- Next-gen children’s toys. …
- (Ambitious) Low-energy, low-cost, scalable, desalination. …
- Traffic lights. …
- Civic engagement tools to hold politicians accountable.
What are the characteristics algorithm?
- Unambiguous − Algorithm should be clear and unambiguous. …
- Input − An algorithm should have 0 or more well-defined inputs.
- Output − An algorithm should have 1 or more well-defined outputs, and should match the desired output.
What are the qualities of good algorithm?
- Precision – the steps are precisely stated(defined).
- Uniqueness – results of each step are uniquely definedand only depend on the input and the result of the precedingsteps.
- Finiteness – the algorithm stops after a finite number ofinstructions are executed.
Which sorting algorithm is faster?
The time complexity of
Quicksort
How do you express an algorithm?
We can express an algorithm many ways, including
natural language, flow charts, pseudocode
, and of course, actual programming languages. Natural language is a popular choice, since it comes so naturally to us and can convey the steps of an algorithm to a wide audience.
What is algorithm example?
The word algorithm was first coined in the 9th century. Algorithms are all around us. Common examples include:
the recipe for baking a cake
, the method we use to solve a long division problem, the process of doing laundry, and the functionality of a search engine are all examples of an algorithm.
How do you solve algorithms?
- Solve it Manually. “Brute-force” Try to solve the problem manually with some simple data and then see if you can derive an algorithm from that process. …
- Break it Down. “Divide and conquer” …
- Algorithm Match. “Breadth-first search”
What are the common troubleshooting problems?
- The Computer Won’t Start. …
- The Screen is Blank. …
- Abnormally Functioning Operating System or Software. …
- Windows Won’t Boot. …
- The Screen is Frozen. …
- Computer is Slow. …
- Strange Noises. …
- Slow Internet.
