Are There Problems That Cannot Be Solved With Algorithms?

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Are there problems that Cannot be solved with algorithms? There are two categories of problems that an algorithm cannot solve.

Undecidable Problems

. These problems are the theoretically impossible to solve — by any algorithm. The halting problem is a decision problem (with a yes or no answer) that is undecidable.

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What problems Cannot be solved with an algorithm?

An algorithm cannot solve two types of problems.

Undecidable problems

. In halting problems, there is no answer (with a yes or no answer) and no remedy. It is impossible for a computer to tell whether it is in an infinite loop or not.

Can all problems be solved by 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 unsolvable by algorithms?

“Does this program have bugs” is an undecidable problem; no algorithm can ever be constructed that always solves it correctly for every program. An infinite loop is a sequence of computer instructions that repeats forever.

An unsolvable problem is one for which no algorithm can ever be written to find the solution

.

Which type of problem does not have an algorithm?

Problems that have no algorithm are called

unsolvable

.

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.

What is the problem of algorithm?

To summarize: A problem is a function or a mapping of inputs to outputs. An algorithm is

a recipe for solving a problem whose steps are concrete and unambiguous

. Algorithms must be correct, of finite length, and must terminate for all inputs.

Do algorithms guarantee correct solutions?

An algorithm is a defined set of step-by-step procedures that provides the correct answer to a particular problem.

By following the instructions correctly, you are guaranteed to arrive at the right answer

.

Why do algorithms matter?

Algorithms are very important in computer Science. The best chosen algorithm

makes sure computer will do the given task at best possible manner

. In cases where efficiency matter a proper algorithm is really vital to be used.

What is good about algorithms?

Algorithms are aimed at optimizing everything. They can

save lives, make things easier and conquer chaos

.

What are some real world problems?

  • Climate Change.
  • Health Care.
  • Food Insecurity.
  • Violence.
  • Homelessness.
  • Sustainability.
  • Education.

Where no algorithm can be made that always leads to a correct yes or no answer?

In computability theory and computational complexity theory,

an undecidable problem

is a decision problem for which it is proved to be impossible to construct an algorithm that always leads to a correct yes-or-no answer.

What problems are difficult to solve in computer science?

Can the shortest vector of a lattice be computed in polynomial time on a classical or quantum computer? Can clustered planar drawings be found in polynomial time? Can the graph isomorphism problem be solved in polynomial time? Can leaf powers and k-leaf powers be recognized in polynomial time?

Which of the following is not true for algorithm?

Q. Which of the following statements is NOT TRUE for Internal Sorting algorithms B.

no of elements must be able to fit in processs main memory
C. use auxilliary memory like tape or hard disk D. ususally are of type compare-exchange Answer» c. use auxilliary memory like tape or hard disk

What kind of problems are solved by algorithms?

Algorithms are commonly used to solve certain types of

computational problems

. We can often describe such a problem by specifying a relationship between input and output. The sorting problem, for example, can be described like this: Input: a sequence a

1

, a

2

, …, a

n

of n numbers.

Which of the following problems is not solved using dynamic programming?

Which of the following problems is NOT solved using dynamic programming? Explanation: The

fractional knapsack problem

is solved using a greedy algorithm. 10.

What is the difference between a problem and an algorithm?

To summarize:

A problem is a function or a mapping of inputs to outputs. An algorithm is a recipe for solving a problem whose steps are concrete and unambiguous

. Algorithms must be correct, of finite length, and must terminate for all inputs.

What is Superpolynomial time?

Superpolynomial time describes

any run time that does increase faster than n k n^k nkn, start superscript, k, end superscript

, and includes exponential time ( 2 n 2^n 2n2, start superscript, n, end superscript), factorial time ( n !

What is Decidability problem?

(definition) Definition:

A decision problem that can be solved by an algorithm that halts on all inputs in a finite number of steps

. The associated language is called a decidable language. Also known as totally decidable problem, algorithmically solvable, recursively solvable.

Are algorithms harmful?

There is a long history of analyses of how

poor design, unintentional bias, and malicious interventions can cause algorithms to trigger huge financial losses, promote unfair decisions, violate laws, and even cause deaths

(8).

Where are algorithms used in real life?

Algorithms lie at the heart of computing. If we observe our surroundings, we can find several algorithms working to solve our daily life problems:

Social media networks, GPS applications, Google search, e-commerce platforms, Netflix recommendation systems

, etc. applications are powered by algorithms.

Which is true about the relationship between algorithms and problems?

Which is true about the relationship between algorithms and problems?

A problem is a mapping from inputs to outputs, and there might be many algorithms that can accomplish this mapping

. A problem is a recipe, and an algorithm is a solution to a problem.

What is the primary disadvantage of using algorithms?

Algorithms are

time-consuming

. Big tasks are difficult to put in algorithms. Difficult to show branching and looping in algorithms. Understanding complex logic through algorithms can be very difficult.

Do you think algorithms rather than heuristics is always the best way to solve problems Why or why not?

Unless you are an extremely accomplished baker,

the algorithm should provide you with a better cake than using heuristics would

. While heuristics offer a solution that might be correct, a correctly applied algorithm is guaranteed to provide a correct solution. Of course, not all problems can be solved by algorithms.

How do algorithms help solve problems?

An algorithm uses a definite procedure. It is easy to understand because it is a step-by-step definition.

The algorithm is easy to debug if there is any error happens

. It is easier for a programmer to convert it into an actual program because the algorithm divides a problem into smaller parts.

Should I learn algorithms?

It will give you better context into how they are used day-to-day and applied to solve problems in the language that you are using. However,

purists believe you should learn algorithms first because programming should be learned in a language-agnostic way

. So you learn the concepts rather than the language.

How important is it to learn algorithms?

If an individual wants to grow and solve projects for a team then they should be proficient in algorithms. As a developer, your everyday work is to solve problems and algorithms solve problems very efficiently.

Practicing algorithms will increase you skill and your visibility at work

.

What is algorithm advantages and disadvantages?

Advantages of Algorithms:


It is a step-wise representation of a solution to a given problem, which makes it easy to understand

. 2. An algorithm uses a definite procedure. 3. It is not dependent on any programming language, so it is easy to understand for anyone even without programming knowledge.

Are humans algorithms?

First edition Author Flynn Coleman Publisher Counterpoint Press Publication date 2019 Pages 336 pp (hardcover 1st edition)

How algorithms control your life?

Algorithms are behind many mundane, but still consequential, decisions in your life. The code often replaces humans, but that doesn’t mean the results are foolproof. An algorithm can be just as flawed as their human creators. These are just some of the ways

hidden calculations determine what you do and experience

.

What is the biggest problem in the world right now?

  1. Climate change and destruction of natural resources (45.2%)
  2. Large scale conflict and wars (38.5%) …
  3. Religious conflicts (33.8%) …
  4. Poverty (31.1%) …
  5. Government accountability and transparency, and corruption (21.7%) …
  6. Safety, security, and well being (18.1%) …

What is the most serious problem in the world today?

  • Poverty. More than 70 percent of the people in the world own less than $10,000 — or roughly 3 percent of total wealth in the world. …
  • Religious Conflict & War. …
  • Political Polarization. …
  • Government Accountability. …
  • Education. …
  • Food and Water. …
  • Health in Developing Nations. …
  • Credit Access.

What is the biggest problem facing today’s generation?


Stress & Time Management

. Managing the pressure to succeed in every area of life and finding time to do it all seems to be one of the biggest challenges facing the youth today.

Is there only one correct algorithm for a given problem?

Given a problem,

there may be more than one correct algorithms

. However, the costs to perform different algorithms may be different. An algorithm is correct only if it produces correct result for all input instances.

Who invented algorithms?

Why are algorithms called algorithms? It’s thanks to Persian mathematician

Muhammad al-Khwarizmi

who was born way back in around AD780.

Which of the following statements is true every problem can be solved with an algorithm for all possible inputs in a reasonable amount of time using a modern computer?

The statement is true.

Every problem can be solved with an algorithm for all possible inputs in a reasonable amount of time

. Using a modern computer.

Charlene Dyck
Author
Charlene Dyck
Charlene is a software developer and technology expert with a degree in computer science. She has worked for major tech companies and has a keen understanding of how computers and electronics work. Sarah is also an advocate for digital privacy and security.