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2. Singapore math - Wikipedia

   en.wikipedia.org/wiki/Singapore_math

   A bar model used to solve an addition problem. This pictorial approach is typically used as a problem-solving tool in Singapore math. Singapore math teaches students mathematical concepts in a three-step learning process: concrete, pictorial, and abstract. This learning process was based on the work of an American psychologist, Jerome Bruner.

3. 24 (puzzle) - Wikipedia

   en.wikipedia.org/wiki/24_(puzzle)

   The 24 puzzle is an arithmetical puzzle in which the objective is to find a way to manipulate four integers so that the end result is 24. For example, for the numbers 4, 7, 8, 8, a possible solution is . The problem has been played as a card game in Shanghai since the 1960s, [1] using playing cards. It has been known by other names, including ...

4. Mountain car problem - Wikipedia

   en.wikipedia.org/wiki/Mountain_car_problem

   The mountain car problem. Mountain Car, a standard testing domain in Reinforcement learning, is a problem in which an under-powered car must drive up a steep hill. Since gravity is stronger than the car's engine, even at full throttle, the car cannot simply accelerate up the steep slope. The car is situated in a valley and must learn to ...

5. Maze-solving algorithm - Wikipedia

   en.wikipedia.org/wiki/Maze-solving_algorithm

   Robot in a wooden maze. A maze-solving algorithm is an automated method for solving a maze.The random mouse, wall follower, Pledge, and Trémaux's algorithms are designed to be used inside the maze by a traveler with no prior knowledge of the maze, whereas the dead-end filling and shortest path algorithms are designed to be used by a person or computer program that can see the whole maze at once.

6. 10 Hard Math Problems That Even the Smartest People in the ...

   www.aol.com/lifestyle/10-hard-math-problems-even...

   Some math problems have been challenging us for centuries, and while brain-busters like these hard math problems may seem impossible, someone is bound to solve ’em eventually. Well, m aybe .

7. Sequential quadratic programming - Wikipedia

   en.wikipedia.org/wiki/Sequential_quadratic...

   Sequential quadratic programming. Sequential quadratic programming ( SQP) is an iterative method for constrained nonlinear optimization which may be considered a quasi-Newton method. SQP methods are used on mathematical problems for which the objective function and the constraints are twice continuously differentiable, but not necessarily convex.