Health.Zone Web Search

Search results

1. Results from the Health.Zone Content Network

2. Symbolab - Wikipedia

   en.wikipedia.org/wiki/Symbolab

   Symbolab. Symbolab is an answer engine [1] that provides step-by-step solutions to mathematical problems in a range of subjects. [2] It was originally developed by Israeli start-up company EqsQuest Ltd., under whom it was released for public use in 2011. In 2020, the company was acquired by American educational technology website Course Hero.

3. Algorithm - Wikipedia

   en.wikipedia.org/wiki/Algorithm

   Algorithm. In mathematics and computer science, an algorithm ( / ˈælɡərɪðəm / ⓘ) is a finite sequence of mathematically rigorous instructions, typically used to solve a class of specific problems or to perform a computation. [1] Algorithms are used as specifications for performing calculations and data processing.

4. Photomath - Wikipedia

   en.wikipedia.org/wiki/Photomath

   Photomath utilizes the camera of a user's smartphone or tablet to scan and identify mathematical problems. Upon recognition, the app displays the steps to solve the problem. The app presents these steps through various methods and approaches, elucidating the problem-solving process in a step-by-step manner to educate users.

5. Problem solving - Wikipedia

   en.wikipedia.org/wiki/Problem_solving

   Problem solving is the process of achieving a goal by overcoming obstacles, a frequent part of most activities. Problems in need of solutions range from simple personal tasks (e.g. how to turn on an appliance) to complex issues in business and technical fields. The former is an example of simple problem solving (SPS) addressing one issue ...

6. Constraint satisfaction problem - Wikipedia

   en.wikipedia.org/.../Constraint_satisfaction_problem

   An evaluation is a solution if it is consistent and complete; such an evaluation is said to solve the constraint satisfaction problem. Solution. Constraint satisfaction problems on finite domains are typically solved using a form of search. The most used techniques are variants of backtracking, constraint propagation, and local search.

7. Travelling salesman problem - Wikipedia

   en.wikipedia.org/wiki/Travelling_salesman_problem

   Another related problem is the bottleneck travelling salesman problem: Find a Hamiltonian cycle in a weighted graph with the minimal weight of the weightiest edge. A real-world example is avoiding narrow streets with big buses. The problem is of considerable practical importance, apart from evident transportation and logistics areas.

8. Monte Carlo method - Wikipedia

   en.wikipedia.org/wiki/Monte_Carlo_method

   The approximation of a normal distribution with a Monte Carlo method. Monte Carlo methods, or Monte Carlo experiments, are a broad class of computational algorithms that rely on repeated random sampling to obtain numerical results. The underlying concept is to use randomness to solve problems that might be deterministic in principle.

9. Greedy algorithm - Wikipedia

   en.wikipedia.org/wiki/Greedy_algorithm

   A greedy algorithm is any algorithm that follows the problem-solving heuristic of making the locally optimal choice at each stage. [1] In many problems, a greedy strategy does not produce an optimal solution, but a greedy heuristic can yield locally optimal solutions that approximate a globally optimal solution in a reasonable amount of time.