Sentence examples for mathematical functions in from inspiring English sources
Jmol, the interactive 3D molecular viewer, is one of the most widely used chemistry applets, and indeed has seen widespread use in other fields such as biology and even mathematics (it is used for 3D depiction of mathematical functions in the Sage Mathematics Projects [32]).
He also predicted (1924) the existence of the Raman effect, an inelastic scattering of light, and showed (1927) that the complex form of the mathematical functions in dispersion theory, concerning collisions of subatomic particles, results from the inability of a signal to be propagated faster than the speed of light.
The main goal of this paper is to present the possibility for incorporating all the non-technical criteria as fuzzy mathematical functions in the optimization and decision-making process, right from the very first planning step, simultaneously and equally with other relevant, numerically presented, technical criteria.
In chapter *30 Whitehead and Russell propose a direct analysis of such expressions for mathematical functions in terms of definite descriptions, which they call "descriptive functions".
The necessity of implementing a multitude of continuous mathematical functions in CMOS technology has been solved by the original proposed function synthesizer circuit.
We have further compared other mathematical functions in this frame (given below) to find their suitability to replace for a better undulatory wave function for robotic fish rectilinear swimming in a two-dimensional plane.
Graham and his wife and two friends started Y Combinator (named for an obscure mathematical function) in Cambridge, Massachusetts, as both a summer-vacation experiment in investing and a radical stab at reimagining the summer job.
As shown as a plot of a mathematical function in Figure 2, higher speeds mean lesser time to connect to a single AP.
Similar results have been found in a study on individual-based versus ecosystem-based function approximation [ 45], where predators and scavengers subdivide a mathematical function in order to approximate it.
In order to differentiate the function, we have to specify the arguments since Maple would treat f as a symbol in and of itself and return 0. A common problem among many users who use Maple to do differentiation of mathematical functions is in the evaluation of the derivatives of functions at points.
The differences can be attributed to the different techniques of the peak height derivation, different epochs and different global distribution of the source data as well as the different mathematical functions involved in the maps and the model presentation.
