What Problems Can Be Solved By Algorithm? - Fixanswer

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

.

How can algorithm help solve a problem?

An algorithm is a problem-solving formula that provides you with step-by

-step instructions

used to achieve a desired outcome (Kahneman, 2011). You can think of an algorithm as a recipe with highly detailed instructions that produce the same result every time they are performed.

Are there problems that can’t be solved by an algorithm?

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.

What are algorithm problems?

The problem of finding a (unique) method (an algorithm)

to solve an infinite series of individual problems of the same type

. Algorithmic problems arose and were solved in various branches of mathematics throughout its history; however, some of them could not be solved for a long time.

What are basic algorithms?

Algorithm is a step-by-step procedure, which defines a set of instructions to be executed in a certain order to get the desired output. Algorithms are generally

created independent of underlying languages

, i.e. an algorithm can be implemented in more than one programming language.

What are the types of algorithm?

Recursive Algorithm. This is one of the most interesting Algorithms as it calls itself with a smaller value as inputs which it gets after solving for the current inputs. …
Divide and Conquer Algorithm. …
Dynamic Programming Algorithm. …
Greedy Algorithm. …
Brute Force Algorithm. …
Backtracking Algorithm.

What are problem solving skills examples?

Active listening.
Analysis.
Research.
Creativity.
Communication.
Dependability.
Decision making.
Team-building.

What are some examples of algorithm?

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.

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
.

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 unreasonable time algorithms?

An unreasonable time algorithm is

a problem that would take a massive amount of computing power to solve

. The amount of time it would take to calculate a solution would be unreasonable, hence the name.

Does every problem has an algorithm?

No not all problems have algorithms

.. Algorithm is a sytematic approach to attempt to some problems.. We generally use algorithms in bigger/complex problems.. However it is not necessary you always follow algorithm in every problem.

What is another word for algorithm?

process program ^US	task batch	code script	binary functions	mechanics procedures

How do you write an efficient algorithm?

Creating function. …
Eliminate unessential operations. …
Avoid declaring unnecessary variables. …
Use appropriate algorithms. …
Learn the concept of dynamic programming. …
Minimize the use of If-Else. …
Break the loops when necessary. …
Avoid declaring variables in the global scope.

How do you write an algorithm for any problem?

Step 1: Obtain a description of the problem. This step is much more difficult than it appears. …
Step 2: Analyze the problem. …
Step 3: Develop a high-level algorithm. …
Step 4: Refine the algorithm by adding more detail. …
Step 5: Review the algorithm.