Results 41 to 50 of about 72 (69)

Modelling and computation in the valuation of carbon derivatives with stochastic convenience yields. [PDF]

PLoS One, 2015
Chang S, Wang X.
europepmc   +1 more source

Emerging of Stochastic Dynamical Equalities and Steady State Thermodynamics from Darwinian Dynamics. [PDF]

Commun Theor Phys, 2008
Ao P.
europepmc   +1 more source

Roadmap for Photonics with 2D Materials. [PDF]

ACS Photonics
de Abajo FJG, Basov DN, Koppens FHL, Orsini L, Ceccanti M, Castilla S, Cavicchi L, Polini M, Gonçalves PAD, Costa AT, Peres NMR, Mortensen NA, Bharadwaj S, Jacob Z, Schuck PJ, Pasupathy AN, Delor M, Liu MK, Mugarza A, Merino P, Cuxart MG, Chávez-Angel E, Švec M, Tizei LHG, Dirnberger F, Deng H, Schneider C, Menon V, Deilmann T, Chernikov A, Thygesen KS, Abate Y, Terrones M, Sangwan VK, Hersam MC, Yu L, Chen X, Heinz TF, Murthy P, Kroner M, Smolenski T, Thureja D, Chervy T, Genco A, Trovatello C, Cerullo G, Dal Conte S, Timmer D, De Sio A, Lienau C, Shang N, Hong H, Liu K, Sun Z, Rozema LA, Walther P, Alù A, Marini A, Cotrufo M, Queiroz R, Zhu XY, Cox JD, Dias EJC, Echarri ÁR, Iyikanat F, Herrmann P, Tornow N, Klimmer S, Wilhelm J, Soavi G, Sun Z, Wu S, Xiong Y, Matsyshyn O, Krishna Kumar R, Song JCW, Bucher T, Gorlach A, Tsesses S, Kaminer I, Schwab J, Mangold F, Giessen H, Sánchez MS, Efetov DK, Low T, Gómez-Santos G, Stauber T, Álvarez-Pérez G, Duan J, Martín-Moreno L, Paarmann A, Caldwell JD, Nikitin AY, Alonso-González P, Mueller NS, Volkov V, Jariwala D, Shegai T, van de Groep J, Boltasseva A, Bondarev IV, Shalaev VM, Simon J, Fruhling C, Shen G, Novko D, Tan S, Wang B, Petek H, Mkhitaryan V, Yu R, Manjavacas A, Ortega JE, Cheng X, Tian R, Mao D, Van Thourhout D, Gan X, Dai Q, Sternbach A, Zhou Y, Hafezi M, Litvinov D, Grzeszczyk M, Novoselov KS, Koperski M, Papadopoulos S, Novotny L, Viti L, Vitiello MS, Cottam ND, Dewes BT, Makarovsky O, Patanè A, Song Y, Cai M, Chen J, Naveh D, Jang H, Park S, Xia F, Jenke PK, Bajo J, Braun B, Burch KS, Zhao L, Xu X.   +147 more
europepmc   +1 more source

Variational principles for stochastic fluid dynamics. [PDF]

Proc Math Phys Eng Sci, 2015
Holm DD.
europepmc   +1 more source

Freezing transitions and extreme values: random matrix theory, ζ (1/2 + it) and disordered landscapes. [PDF]

Philos Trans A Math Phys Eng Sci, 2014
Fyodorov YV, Keating JP.
europepmc   +1 more source

Twist fields, the elliptic genus, and hidden symmetry. [PDF]

Proc Natl Acad Sci U S A, 2000
Jaffe A.
europepmc   +1 more source

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Nonlinear Feynman--Kac formulas for Stochastic Partial Differential Equations with Space-Time Noise

SIAM Journal on Mathematical Analysis, 2019
Summary: We study a class of backward doubly stochastic differential equations involving martingales with spatial parameters, and show that they provide probabilistic interpretations (Feynman-Kac formulas) for certain semilinear stochastic partial differential equations (SPDEs) with space-time noise.
Jian Song, Xiaoming Song, Qi Zhang
openaire   +2 more sources

A stochastic feynman-kac formula for anticipating spde's, and application to nonlinear smoothing

Stochastics and Stochastic Reports, 1993
This paper establishes an anticipating stochastic differential equation of parabolic type for the expectation of the solution of a stochastic differential equation conditioned on complete knowledge of the path of one of its components. Conversely, it is shown that any appropriately regular solution of this stochastic p.d.e.
Daniel Ocone, Etienne Pardoux
openaire   +1 more source

Integrative oncology: Addressing the global challenges of cancer prevention and treatment

Ca-A Cancer Journal for Clinicians, 2022
Jun J Mao,, Msce, Lorenzo Cohen, Karen M Mustian   +2 more
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