Results 251 to 260 of about 43,061 (301)

Information Content and Maximum Entropy of Compartmental Systems in Equilibrium. [PDF]

Entropy (Basel)
Metzler H, Sierra CA.
europepmc   +1 more source

NeuroQ: Quantum-Inspired Brain Emulation. [PDF]

Biomimetics (Basel)
Vallverdú J, Rius G.
europepmc   +1 more source

Nonlinear SPDEs and Maximal Regularity: An Extended Survey. [PDF]

Nonlinear Differ Equ Appl
Agresti A, Veraar M.
europepmc   +1 more source

Neural SDE-based spike control of noisy neurons. [PDF]

PLoS One
Sato F, Ogura M, Sashie A, Bai Y, Shimono M, Wakamiya N.   +5 more
europepmc   +1 more source

An open-source software for building and simulating ordinary differential equation models in biology. [PDF]

PLoS One
Dos Santos BLM, Castro DAS, da Paz SFC, Pinheiro DJC, de Melo Quintela B, Lobosco M, Pigozzo AB.   +6 more
europepmc   +1 more source

The success of artificial selection for collective composition hinges on initial and target values. [PDF]

Elife
Lee J, Shou W, Park HJ.
europepmc   +1 more source

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Stochastic Differential Equations

2014
Stochastic differential equations describe the time evolution of certain continuous n-dimensional Markov processes. In contrast with classical differential equations, in addition to the derivative of the function, there is a term that describes the random fluctuations that are coded as an Ito integral with respect to a Brownian motion. Depending on how
Etienne Pardoux, Aurel Răşcanu
  +10 more sources

Stochastic Differential Equations [PDF]

, 1990
A diffusion can be thought of as a strong Markov process (in ℝn) with continuous paths. Before the development of Ito’s theory of stochastic integration for Brownian motion, the primary method of studying diffusions was to study their transition semigroups.
R. J. Williams, K. L. Chung
  +6 more sources

Stochastic Differential Equations

2012
This chapter represents the core of the book. Building on the general theory introduced in previous chapters, stochastic differential equations (SDEs) are presented as a key mathematical tool for relating the subject of dynamical systems to Wiener noise.
Vincenzo Capasso, David Bakstein
openaire   +4 more sources