Can an algorithm be written to solve any problem?

Can an algorithm be written to solve any problem?

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.

Is it possible to create an algorithm that will solve the problem for all programs and inputs?

There are some problems that a computer can never solve, even the world’s most powerful computer with infinite time: the undecidable problems. An undecidable problem is one that should give a “yes” or “no” answer, but yet no algorithm exists that can answer correctly on all inputs.

Can you give an example of an algorithm?

A Real Life Algorithm One of the most obvious examples of an algorithm is a recipe. It’s a finite list of instructions used to perform a task. For example, if you were to follow the algorithm to create brownies from a box mix, you would follow the three to five step process written on the back of the box.

How do you algorithm?

How to build an algorithm in 6 steps

1. Step 1: Determine the goal of the algorithm.
2. Step 2: Access historic and current data.
3. Step 3: Choose the right models.
4. Step 4: Fine tuning.
5. Step 5: Visualize your results.
6. Step 6: Running your algorithm continuously.

What kind of problems can not have any algorithm?

Problems that cannot be solved by any algorithm are called? Explanation: Problems cannot be solved by any algorithm are called undecidable problems. Problems that can be solved in polynomial time are called Tractable problems.

What would be the main goal of an algorithm?

Regardless of the context in which they are used, algorithms are essentially problem solvers – their purpose is to solve and often automate a solution to a particular problem. Introductory textbooks on algorithms tend to outline their subject broadly, defining an algorithm as ‘a set of steps to accomplish a task’ 3.

How do you write an efficient algorithm?

How to write code efficiently

1. Creating function.
2. Eliminate unessential operations.
3. Avoid declaring unnecessary variables.
4. Use appropriate algorithms.
5. Learn the concept of dynamic programming.
6. Minimize the use of If-Else.
7. Break the loops when necessary.
8. Avoid declaring variables in the global scope.

Are undecidable problems solvable?

The corresponding informal problem is that of deciding whether a given number is in the set. A decision problem A is called decidable or effectively solvable if A is a recursive set and undecidable otherwise.

What are undecidable problems give example?

Examples – These are few important Undecidable Problems: Whether a CFG generates all the strings or not? As a CFG generates infinite strings, we can’t ever reach up to the last string and hence it is Undecidable. Whether two CFG L and M equal?

Which is an example of an algorithmic problem solving?

An algorithm must be general. This means that it must solve every instance of the problem. For example, a program that computes the area of a rectangle should work on all possible dimensions of the rectangle, within the limits of the programming language and the machine.

Why is it important to translate algorithms into computer programs?

A person must translate an algorithm into a computer program. This point of view sets the stage for a process that we will use to develop solutions to Jeroo problems. The basic process is important because it can be used to solve a wide variety of problems, including ones where the solution will be written in some other programming language.

When do you need to think about algorithms?

When our goal is to develop algorithms that will lead to computer programs, we need to consider the capabilities of the computer and provide enough detail so that someone else could use our algorithm to write a computer program that follows the steps in our algorithm.

What are the steps in the algorithm development process?

An Algorithm Development Process. 1 Step 1: Obtain a description of the problem. This step is much more difficult than it appears. In the following discussion, the word client refers to 2 Step 2: Analyze the problem. 3 Step 3: Develop a high-level algorithm. 4 Step 4: Refine the algorithm by adding more detail. 5 Step 5: Review the algorithm.