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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 ...
Computer science. Computer science is the study of computation, information, and automation. [1] [2] [3] Computer science spans theoretical disciplines (such as algorithms, theory of computation, and information theory) to applied disciplines (including the design and implementation of hardware and software ).
Computational science, also known as scientific computing, technical computing or scientific computation ( SC ), is a division of science that uses advanced computing capabilities to understand and solve complex physical problems. This includes. In practical use, it is typically the application of computer simulation and other forms of ...
Solver. A solver is a piece of mathematical software, possibly in the form of a stand-alone computer program or as a software library, that 'solves' a mathematical problem. A solver takes problem descriptions in some sort of generic form and calculates their solution. In a solver, the emphasis is on creating a program or library that can easily ...
In English, TRIZ is typically rendered as the theory of inventive problem solving. [3] [4] TRIZ developed from a foundation of research into hundreds of thousands of inventions in many fields to produce an approach which defines patterns in inventive solutions and the characteristics of the problems these inventions have overcome. [5]
Problem-based learning. A PBL group at Sydney Dental Hospital. Problem-based learning ( PBL) is a teaching method in which students learn about a subject through the experience of solving an open-ended problem found in trigger material. The PBL process does not focus on problem solving with a defined solution, but it allows for the development ...
Travelling Salesman, by director Timothy Lanzone, is the story of four mathematicians hired by the U.S. government to solve the most elusive problem in computer-science history: P vs. NP. Solutions to the problem are used by mathematician Bob Bosche in a subgenre called TSP art. See also. Canadian traveller problem; Exact algorithm
Quadratic unconstrained binary optimization. Quadratic unconstrained binary optimization ( QUBO ), also known as unconstrained binary quadratic programming ( UBQP ), is a combinatorial optimization problem with a wide range of applications from finance and economics to machine learning. [1] QUBO is an NP hard problem, and for many classical ...