Multi-language suite for high-performance solvers of differential equations and scientific machine learning (SciML) components. Ordinary differential equations (ODEs), stochastic differential ...

we construct in Section 2.2 the Yukawa potential inside the sphere by solving the Dirichlet boundary value problem. We develop two radial Green functions that are products of two linearly independent ...

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The course gives an introduction to analytical techniques for partial differential equations, in particular to separation of variables. In addition the course treats qualititative properties of ...

Building a maze-solving robot is an intresting way to get into the world of robotics and autonomous systems. Imagine creating a small device that can intelligently navigate through complex mazes, ...

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Editorial Note: We earn a commission from partner links on Forbes Advisor. Commissions do not affect our editors' opinions or evaluations. Shoestring budgets are all too common for SMBs ...

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Abstract: Problems involving the classical linear partial differential equations of mathematical physics can be reduced to algebraic ones of a very much simpler structure by replacing the ...

The mean-field model equations (37) were derived by approximating a locally homogeneous network of Hodgkin–Huxley (HH) type neurons operating near synchrony, in the thermodynamic limit of an ...

2019). Observe they opted to represent the peptide amphiphiles with much more coarse-graining. This much more coarse-grained representation, based up the Martini-force field, of the peptide ...

The order of operations is a collection of rules that gives the correct sequence of steps for doing a calculation. Watch the video to hear Berry discuss how remembering the correct order of ...