Contents
- 1 What is a computational problem explain with an example?
- 2 What problems can a computer not solve?
- 3 What kind of problems can be solved by a computer?
- 4 What is the difference between a computational problem and an algorithm?
- 5 Does computer solve problems itself true or false?
- 6 Which is an example of a business problem?
- 7 Which is an example of a bi problem?
- 8 Can a quantum computer solve a real world problem?
What is a computational problem explain with an example?
In theoretical computer science, a computational problem is a problem that a computer might be able to solve or a question that a computer may be able to answer. For example, the problem of factoring. “Given a positive integer n, find a nontrivial prime factor of n.”
What problems can a computer not solve?
Eight Problems A Computer Can’t 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 types of computational problems?
In this course we will deal with four types of computational problems: decision prob- lems, search problems, optimization problems, and counting problems.
What kind of problems can be solved by a computer?
Computers can solve problems by performing billions of operations per second. A programmer’s job is to find solutions. They do this by breaking down problems into easy-to-follow steps for a computer. Programming languages allow people to communicate with computers.
What is the difference between a computational problem and an algorithm?
A problem is a thing that needs to be done; an algorithm is a procedure for doing it.
Are computers 100% accurate?
Are computers really 100% accurate? Normal computers are, in fact, 100% reliable, in much the same way that gravity is 100% reliable.
Does computer solve problems itself true or false?
It is pertinent to mention that computers themselves cannot solve a problem. Thus, the success of a computer in solving a problem depends on how correctly and precisely we define the problem, design a solution (algorithm) and implement the solution (program) using a programming language.
Which is an example of a business problem?
Let’s go over several use cases that solve common business problems. If you recognize one or two plaguing your business, you’ll know how business intelligence software development will help you overcome them. Your sales managers cannot meet the sales targets, and the attrition is on the rise.
Which is the best definition of a computational problem?
In theoretical computer science, a computational problem is a mathematical object representing a collection of questions that computers might be able to solve. “Given a positive integer n, find a nontrivial prime factor of n.”. is a computational problem. Computational problems are one of the main objects of study in theoretical computer science.
Which is an example of a bi problem?
If you recognize one or two plaguing your business, you’ll know how business intelligence software development will help you overcome them. Your sales managers cannot meet the sales targets, and the attrition is on the rise. You can’t track their progress, and the sales team is stuck with no clear strategy for improving the numbers.
Can a quantum computer solve a real world problem?
For complex, computationally-intensive problems that need to be solved in real-time, in many cases, it’s only quantum computers that are up to the task. This is obviously deeply technical.