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Word problem from the Līlāvatī (12th century), with its English translation and solution. In science education, a word problem is a mathematical exercise (such as in a textbook, worksheet, or exam) where significant background information on the problem is presented in ordinary language rather than in mathematical notation.
Interval scheduling is a class of problems in computer science, particularly in the area of algorithm design. The problems consider a set of tasks. Each task is represented by an interval describing the time in which it needs to be processed by some machine (or, equivalently, scheduled on some resource).
The word problem for an algebra is then to determine, given two expressions (words) involving the generators and operations, whether they represent the same element of the algebra modulo the identities. The word problems for groups and semigroups can be phrased as word problems for algebras. [1]
Timeblocking or time blocking (also known as time chunking [1]) is a productivity technique for personal time management where a period of time—typically a day or week—is divided into smaller segments or blocks for specific tasks or to-dos.
Over time, the concept of time management has changed from simple tools like checklists to more complex techniques that emphasize setting priorities and coordinating tasks with objectives and values. The third generation of time management places a strong emphasis on setting objectives, organizing each day, and ranking tasks according to ...
Parallel task scheduling (also called parallel job scheduling [1] [2] or parallel processing scheduling [3]) is an optimization problem in computer science and operations research. It is a variant of optimal job scheduling .
Divisible tasks can be divided into subtasks and individual members can be assigned specific subtasks to be completed in contribution to the greater task. [2] For example, a group of students assigned a test to complete together as a group, can divide the questions among the individual students to be completed based on specific areas of expertise.
The assignment problem consists of finding, in a weighted bipartite graph, a matching of maximum size, in which the sum of weights of the edges is minimum. If the numbers of agents and tasks are equal, then the problem is called balanced assignment, and the graph-theoretic version is called minimum-cost perfect matching.