When Jamie Gull graduated from Stanford University in 2007 with a master’s degree in aeronautics, there was one place he wanted to go next: the desert. The Mojave Desert, to be specific. A company ...

This research provides density functions and descriptive statistics for the distance between points for basic shapes in Cartesian space. Both Euclidean and Rectilinear Distances are determined for ...

In this paper, we consider the function f p ( t )= 2p X 2 ( 2p t+p;p ) , where χ²(x; n) defined by X 2 ( x;p )= 2 −p/2 Γ( p/2 ) e −x/2 x p/2−1 , is the density function of a χ²-distribution with n ...

Synthese, Vol. 198, No. 7 (July 2021), pp. 6375-6402 (28 pages) Proposed derivations of the Born rule for Everettian theory are controversial. I argue that they are unnecessary but may provide ...

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The wave/particle duality of particles in Physics is well known. Particles have properties that uniquely characterize them from one another, such as mass, charge and spin. Charged particles have ...

What Is A Probability Density Function? A probability density function, also known as a bell curve, is a fundamental statistics concept, that describes the likelihood of a continuous random variable ...

We present a tool, one that is both a stand-alone web-based video game and a Python package, designed for students to explore a particle’s wave function on one-dimensional potential surfaces. The tool ...

Abstract: In this paper a novel prediction for tensor decomposition based probability density functions is presented. Tensor representations for target tracking have various advantages such as that ...