Search results
Results From The WOW.Com Content Network
A noticeable difference between the traditional cigarette and the e-cigarette is sense of touch. [1] A traditional cigarette is smooth and light but an e-cigarette is rigid, cold and slightly heavier. [1] Since e-cigarettes are more complex than traditional cigarettes, a learning curve is needed to use them correctly. [9]
The clearomizer allows the user to monitor the liquid level in the device. [257] Soon after the clearomizer reached the market, replaceable atomizer coils and variable voltage batteries were introduced. [257] Clearomizers and eGo batteries became the best-selling customizable e-cigarette components in early 2012. [256]
The minimum [20] [22] maximum [23] are known to lie between . Similarly it is known that Erdős-Rényi graphs with edge probability precisely p = ( 1 + ϵ ) ln ( n ) / n {\displaystyle p=(1+\epsilon )\ln(n)/n} as n {\displaystyle n} goes to infinity will be connected and it has been conjectured [ 24 ] that this value is too the number at ...
Discretization is also related to discrete mathematics, and is an important component of granular computing. In this context, discretization may also refer to modification of variable or category granularity , as when multiple discrete variables are aggregated or multiple discrete categories fused.
In this example, the original photograph is shown on left. The version on the right shows the effect of quantizing it to 16 colors and dithering using the 8×8 ordered dithering pattern. The characteristic 17 patterns of the 4×4 ordered dithering matrix can be seen clearly when used with only two colors, black and white.
One of the popular examples in computer science is the mathematical models of various machines, an example is the deterministic finite automaton (DFA) which is defined as an abstract mathematical concept, but due to the deterministic nature of a DFA, it is implementable in hardware and software for solving various specific problems. For example ...
Numerical analysis is the study of algorithms that use numerical approximation (as opposed to general symbolic manipulations) for the problems of mathematical analysis (as distinguished from discrete mathematics). [25] Modern numerical analysis does not seek exact answers, because exact answers are often impossible to obtain in practice.
For example, in economics the optimal profit to a player is calculated subject to a constrained space of actions, where a Lagrange multiplier is the change in the optimal value of the objective function (profit) due to the relaxation of a given constraint (e.g. through a change in income); in such a context is the marginal cost of the ...