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Computational problems are tasks or questions that can be solved through computational processes, typically involving algorithms and data structures. These problems can arise in various fields, including computer science, mathematics, and engineering, and they often require a systematic approach to find a solution. Computational problems can be classified into several categories: 1. **Decision Problems**: These are problems with a yes-or-no answer. An example is determining whether a given number is prime.

Mathematical paradoxes are statements or propositions that, despite seemingly valid reasoning, lead to a conclusion that contradicts common sense, intuition, or accepted mathematical principles. These paradoxes often highlight inconsistencies or problems in foundational concepts, definitions, or assumptions within mathematics. There are several types of mathematical paradoxes, including: 1. **Set Paradoxes**: These explore the nature of sets and can arise from self-referential definitions.

Probability problems involve calculations or reasoning that determine how likely an event is to occur. These problems rely on the principles of probability theory, which is a branch of mathematics that deals with the analysis of random phenomena. Probability can be expressed as a number between 0 and 1, where 0 indicates an impossible event and 1 indicates a certain event.

Triangle problems typically refer to a variety of mathematical problems and scenarios involving triangles in geometry. These problems can encompass a range of topics, including the properties of triangles, their relationships with angles and sides, and theorems that apply to them. Here are some common types of triangle problems: 1. **Finding Side Lengths**: - Using the Pythagorean theorem to find the lengths of sides in right triangles.

Undecidable problems are decision problems in computational theory for which no algorithm can be constructed that always leads to a correct yes-or-no answer. In simpler terms, an undecidable problem is one for which it is impossible to devise a general method or a program that can solve all instances of the problem. One of the most famous examples of an undecidable problem is the Halting Problem, which was proven undecidable by Alan Turing in 1936.

Unsolvable puzzles are problems or puzzles that cannot be solved within the given constraints, or do not have a solution at all. These can arise in various contexts, including mathematics, logic, computer science, and recreational puzzles. Here are a few examples: 1. **Mathematical Puzzles**: Some mathematical problems are proven to be unsolvable.

Unsolved problems in mathematics refer to questions or conjectures that have not yet been proven or disproven despite significant effort from mathematicians. These problems span various fields of mathematics, including number theory, algebra, geometry, and analysis. Some of these problems have been known for many years, while others are more recent.