- Transient micromixing: Examples of laminar and chaotic stirring James P. Gleesona
- IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS--II: EXPRESS BRIEFS, VOL. 53, NO. 3, MARCH 2006 183 Phase Diffusion Due to Low-Frequency
- Cascades on correlated and modular random networks James P. Gleeson
- Mean size of avalanches on directed random networks with arbitrary degree distributions James P. Gleeson
- Application of magnetohydrodynamic actuation to continuous flow chemistry
- IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS--II: EXPRESS BRIEFS, VOL. 54, NO. 5, MAY 2007 435 Phase Diffusion Coefficient for Oscillators Perturbed
- SIAM J. APPL. MATH. c 2006 Society for Industrial and Applied Mathematics Vol. 66, No. 5, pp. 16691688
- EUROPHYSICS Published under the scientific responsibility of the
- IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS--II: EXPRESS BRIEFS, VOL. 52, NO. 11, NOVEMBER 2005 789 Influence of Noise Intensity on the Spectrum
- Z. angew. Math. Phys. 56 (2005) 645680 0044-2275/05/040645-36
- MODELLING ANNULAR MICROMIXERS JAMES P. GLEESON, OLIVIA M. ROCHE, JONATHAN WEST, AND ANNE GELB
- Journal of Colloid and Interface Science 249, 217226 (2002) doi:10.1006/jcis.2002.8256, available online at http://www.idealibrary.com on
- 2346 VOLUME 129M O N T H L Y W E A T H E R R E V I E W 2001 American Meteorological Society
- The Unreasonable Effectiveness of Tree-Based Theory for Bond Percolation on
- Dynamics of two coupled particles: comparison of Lennard-Jones and spring forces
- Motion in random fields -an application to stock market data James P. Gleeson
- Taylor dispersion in electroosmotic flows with random zeta potentials James P. Gleeson1
- Physica A 351 (2005) 523550 Passive motion in dynamical disorder as a model
- Flatness of tracer density profile produced by a point source in turbulence James P. Gleesona)
- Seed size strongly affects cascades on random networks James P. Gleeson1
- An analytical approach to cascades on random networks James P. Gleesona and Diarmuid J. Cahalaneb
- Infinitely fast reactions in micromixers James P. Gleeson
- Sensors and Actuators B 96 (2003) 190199 Structuring laminar flows using annular
- A simple model for 1/f spectra in heart rate variability James P. Gleesona and Aneta Stefanovskab
- Exact solution for single-scale Gaussian random transport James P. Gleeson*
- Fluctuation and Noise Letters Vol. 6, No. 3 (2006) L263L277
- Exactly solvable model of continuous stationary 1/f noise James P. Gleeson*
- Interaction of Coupled Particles Based on Lennard-Jones and Spring Forces in Brownian Ratchet Devices
- Kramers' law for a bistable system with time-delayed noise D. Goulding,1
- IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS -I 1 Statistical Analysis of First-Order Bang-Bang
- Motion in dynamical disorder -applications to 1/f noise and oscillator phase jitter
- Fabrication of Nanopore Array Electrodes by Focused Ion Beam Milling
- Analytical approach to sorting in periodic and random potentials James P. Gleeson,1
- Systemic risk in banking networks without Monte Carlo simulation
- MS4022 Calculus 2 -Tutorial Problems 3 1. Find an antiderivative of each of the following functions: (a) e2t
- MS4028 SDEs Problem Set 3 1. An asset paying out a continuous dividend yield at a rate per annum obeys the
- MS4022 Calculus 2 -Tutorial Problems 2 1. Find the first two non-zero terms in the Taylor-Maclaurin series of (i) tan x, (ii)
- MS4028 SDEs Problem Set 2 1. Use numerical experiments to plot the pdf of z1 = x + y, and of z2 = x + y + w where x, y,
- MS4028 SDEs Problem Set 6 1. Prove that the Fokker-Planck equation for x (-, ) with natural boundary conditions
- MS4022 Calculus 2 -Tutorial Problems 4 1. Find the general solutions y(x) or v(t) of the following separable first-order differential
- MS4022 Calculus 2 Contact information
- MS4028 SDEs Problem Set 4 1. By taking partial derivatives of the function C(S, t) giving the value of a European call
- Partial fraction decomposition of rational functions Let P(x) and Q(x) be real polynomials, with degree(P)
- MS4028 Stochastic differential equations for finance Contact information
- 1.1 Random Variables A random variable (r.v.) is chosen from a particular probability space which is en-
- MS4028 SDEs Problem Set 5 1. In lectures we saw a method for generating pairs of normally-distributed random variables
- MS4028 SDEs Problem Set 1 1. For each of the following continuous probability distributions, state a formula for the pdf