Framework for solving parabolic partial differential equations could guide computer graphics and geometry processing by Alex Shipps, Massachusetts Institute of Technology Editors' notes ...

Quantum mechanics has a reputation that precedes it. Virtually everyone who has bumped up against the quantum realm, whether ...

Ordinary differential equations (ODEs) and difference equations serve as complementary tools in the mathematical modelling of processes evolving in continuous and discrete time respectively.

Differential-difference equation: An equation that combines differential operators with difference operators, often used to model systems exhibiting both continuous change and discrete shifts.

Some equations are beautiful because they reveal unexpected relationships between different subjects. The Loewner differential equation, introduced by Charles Loewner in 1923, describes the time ...

Catalog : MATH.2340 Differential Equations (Formerly 92.234) Id: 008289 Credits Min: 3 Credits Max: 3 Description Topics include methods of solutions for linear and non-linear first order differential ...

Partial differential equations can describe everything from planetary motion to plate tectonics, but they’re notoriously hard to solve.

Two new approaches allow deep neural networks to solve entire families of partial differential equations, making it easier to model complicated systems and to do so orders of magnitude faster.

Understanding the Finite-Difference Method (FDM) The finite-difference method is the most direct approach to discretizing partial differential equations.

New creatinine–cystatin C equations without race were more accurate than new creatinine equations, with smaller differences between race groups.