Results 1 to 10 of about 1,407,788 (320)

Efficient quantum algorithm for dissipative nonlinear differential equations. [PDF]

open access: yesProc Natl Acad Sci U S A, 2021
Significance Nonlinear differential equations appear in many domains and are notoriously difficult to solve. Whereas previous quantum algorithms for general nonlinear differential equations have complexity exponential in the evolution time, we give the ...
Liu JP   +5 more
europepmc   +5 more sources

High accuracy least-squares solutions of nonlinear differential equations. [PDF]

open access: yesJ Comput Appl Math, 2019
This study shows how to obtain least-squares solutions to initial and boundary value problems of ordinary nonlinear differential equations. The proposed method begins using an approximate solution obtained by any existing integrator.
Mortari D, Johnston H, Smith L.
europepmc   +2 more sources

Nonlinear Integro-Differential Equations

open access: yesJournal of Mathematical Extension, 2010
. In this paper,the continuse Legendre wavelets constructed on the interval [0, 1] are used to solve the nonlinear Fredholm integrodifferential equation.
S. Mahdavi∗, M. Tavassoli Kajani
doaj   +2 more sources

Improved quantum algorithms for linear and nonlinear differential equations [PDF]

open access: yesQuantum, 2022
We present substantially generalized and improved quantum algorithms over prior work for inhomogeneous linear and nonlinear ordinary differential equations (ODE).
H. Krovi
semanticscholar   +1 more source

Solving nonlinear differential equations with differentiable quantum circuits [PDF]

open access: yesPhysical Review A, 2020
We propose a quantum algorithm to solve systems of nonlinear differential equations. Using a quantum feature map encoding, we define functions as expectation values of parametrized quantum circuits.
O. Kyriienko, Annie E. Paine, V. Elfving
semanticscholar   +1 more source

On the Method of Transformations: Obtaining Solutions of Nonlinear Differential Equations by Means of the Solutions of Simpler Linear or Nonlinear Differential Equations

open access: yesAxioms, 2023
Transformations are much used to connect complicated nonlinear differential equations to simple equations with known exact solutions. Two examples of this are the Hopf–Cole transformation and the simple equations method.
Nikolay K. Vitanov
doaj   +1 more source

On convergence of explicit finite volume scheme for one-dimensional three-component two-phase flow model in porous media

open access: yesDemonstratio Mathematica, 2021
In this work, we develop and analyze an explicit finite volume scheme for a one-dimensional nonlinear, degenerate, convection–diffusion equation having application in petroleum reservoir.
Mostefai Mohamed Lamine   +2 more
doaj   +1 more source

Oscillation Analysis Algorithm for Nonlinear Second-Order Neutral Differential Equations

open access: yesMathematics, 2023
Differential equations are useful mathematical tools for solving complex problems. Differential equations include ordinary and partial differential equations.
Liang Song, Shaodong Chen, Guoxin Wang
doaj   +1 more source

Limit Cycles of a Class of Perturbed Differential Systems via the First-Order Averaging Method

open access: yesComplexity, 2021
By means of the averaging method of the first order, we introduce the maximum number of limit cycles which can be bifurcated from the periodic orbits of a Hamiltonian system.
Amor Menaceur   +4 more
doaj   +1 more source

Hidden physics models: Machine learning of nonlinear partial differential equations [PDF]

open access: yesJournal of Computational Physics, 2017
While there is currently a lot of enthusiasm about “big data”, useful data is usually “small” and expensive to acquire. In this paper, we present a new paradigm of learning partial differential equations from small data.
M. Raissi, G. Karniadakis
semanticscholar   +1 more source

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