I hope I understand your question is related to the discretization of phenomena/ processes. The reason we do it is to get answers. I will extend a bit the question - as to why we take a continuous process/ phenomena and break it down into discrete segments, blocks, cells, etc. Some continuous processes are described by differential equations, and have general solutions. But not all processes are solvable through calculus. If we can describe a process in a discrete "control volume" at a point in time, then this can be extended to model a system with a network of cells or mesh. In doing so, we are discretizing the process in both the time and spatial dimensions. From the discretize system, time and spatial-variant responses of the system of key components of the system can be obtained through numerical methods. This is done in many of the scientific/ engineering fields, including hydrology, ecology, petroleum reservoir simulation, aeronautics and atmospherical studies. Ozone depletion and global warming models are good examples of discretized continuous systems.
It can be continuous or continuing.
They are continuous.
Continuous
Mountains are continuous.
It is continuous.
Operations research models are typically classified based on their structure and nature, with common classifications including deterministic vs stochastic models, static vs dynamic models, and discrete vs continuous models. Deterministic models assume perfect information and known inputs, while stochastic models factor in uncertainty and randomness. Static models are based on a single period of time, while dynamic models consider multiple time periods. Discrete models involve integer or binary decision variables, whereas continuous models use real-valued variables.
Steven James Hollingworth has written: 'Continuous analysis of stormwater quality control ponds with derived probability models'
George Bernard Dantzig has written: 'On the continuity of the minimum set of a continuous function' -- subject(s): Continuous Functions, Functions, Continuous, Mathematical optimization 'The application of decomposition to transportation network analysis' -- subject(s): Mathematical models, Traffic assignment, Transportation 'Linear programming' -- subject(s): Linear programming
The capillary tube is continuous and unbroken (like the xylem), which is essential to the cohesion-tension theory. Both are also 'dead' and thin.
Having a tattoo is continuous because the design is applied to the skin in a continuous manner, creating a permanent mark. The ink flows smoothly without breaks or interruptions.
The development of models describing the life cycle of stars has been ongoing for over a century. However, advancements in technology and observational capabilities, such as space telescopes and supercomputers, have enabled scientists to refine and validate these models more accurately in recent years. Additionally, new discoveries and data gathered from various sources have also contributed to the continuous improvement of these models.
An analog signal is characterized by continuous amplitudes and continuous time.
Present continuous: He is driving. Past continuous: He was driving. Future continuous: He will be driving. Present perfect continuous: He has been driving. Past perfect continuous: He had been driving. Future perfect continuous: He will have been driving.
This form of the verb can be used in more tenses: present participle, present continuous, past continuous, past perfect continuous, future perfect continuous, future continuous, present perfect continuous.
Continuous
Continuous
Continuous.