Discrete simulation systems records events at regular time intervals when a simulation component generates output. Continuous simulation systems record events on a nearly continuous basis, using a relatively small time unit between event recordings. Discrete simulation is usually faster while still providing an accurate picture of the system's behavior.
In continuous simulation systems, time is treated as a continuous variable, allowing for modeling of systems with continuous or fluid-like behavior. In discrete simulation systems, time is represented in discrete steps, making it suitable for modeling systems that operate in a step-by-step manner with distinct events. Continuous simulation systems require solving differential equations, while discrete simulation systems involve tracking the state changes based on discrete event occurrences.
Quantization error is the difference between the actual analog signal and the quantized digital representation of that signal. It occurs when an analog signal is converted into a digital form by rounding off the signal values to the nearest available digital value. This error can introduce inaccuracies in the signal representation.
Different elements have different line spectra because each has a unique arrangement of energy levels for its electrons. When electrons transition between these energy levels, they emit or absorb specific wavelengths of light, creating distinct lines in the spectrum. This results in discrete lines rather than a continuous spectrum.
Continuous lasers emit a continuous beam of light, while pulsed lasers emit light in short bursts or pulses. Continuous lasers are used for applications requiring steady illumination, while pulsed lasers are used for applications requiring high peak power in a short duration.
A simulation is a computer-generated model that mimics real-world processes, such as radioactive decay, using mathematical algorithms. Actual radioactive decay is a natural process where unstable atomic nuclei lose energy by emitting radiation. While simulations provide insight into how radioactive decay works, real decay occurs spontaneously and cannot be controlled or manipulated like in a simulation.
Flow refers to the movement of a substance in a continuous and smooth manner, while motion refers to the act of changing position or location. Flow typically involves a continuous stream of particles, such as a liquid or gas, moving in a particular direction, whereas motion can involve an object changing its position or posture.
The difference between continuous and discrete system lies in the variables. Whereas the continuous systems have dynamic variables, the discrete system have static variables.
A simple continuous distribution can take any value between two other values whereas a discrete distribution cannot.
A discrete random variable (RV) can only take a selected number of values whereas a continuous rv can take infinitely many.
No I don't know... Plz give me the right answer
Analog signals are continuous while digital signals are discrete
A discrete distribution is one in which the random variable can take only a limited number of values. A cumulative distribution, which can be discrete of continuous, is the sum (if discrete) or integral (if continuous) of the probabilities of all events for which the random variable is less than or equal to the given value.
Demand schedule: a list of demand/price equivalencies. It can best be seen as a table with discrete points. Demand function: a continuous function of price-demand interaction. Main difference: schedule is discrete; function is continuous.
A continuous variable is one that can take any value within an interval (or a set of intervals). A discrete variable is one that can only take certain values.Some further notes:* Often a discrete variable takes integer values, but that is not necessary.* Neither discrete nor continuous variables need be limited to a finite number of possible values.* Frequently, continuous variables are continuous only in principle, and the measuring instruments or recording make them discrete. Eg your height is continuous but as soon as it is recorded as 1.75 cm or 5'9", it is made discrete.
Discrete and Continuous GraphThis will be a very basic definition but understandable one A graph is discrete when one (or both) of the variables has discrete entries, its means that are entered number, without decimal part, so the graph has no continuity, the trace will be broken parts, not a single one.beside a continuous graph is a graph where both variables are continuous, it means that their field's are de Real number, so the trace it's a continuous line.Also we can differentiated because the range are points (in a discrete one) and all the numbers (in a continuous one).
The number of students is discrete. There is no number of students between 4 and 5.
A convolution is a function defined on two functions f(.) and g(.). If the domains of these functions are continuous so that the convolution can be defined using an integral then the convolution is said to be continuous. If, on the other hand, the domaisn of the functions are discrete then the convolution would be defined as a sum and would be said to be discrete. For more information please see the wikipedia article about convolutions.
discrete distribution is the distribution that can use the value of a whole number only while continuous distribution is the distribution that can assume any value between two numbers.