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The approximation of tensors is important for the efficient numerical treatment of high dimensional problems, but it remains an extremely challenging task. One of the most popular approach to tensor approximation is the alternating least…

Numerical Analysis · Mathematics 2015-06-02 Mike Espig , Wolfgang Hackbusch , Aram Khachatryan

In the present paper we consider the semiclassical magnetic Schr\"odinger equation, which describes the dynamics of particles under the influence of a magnetic field. The solution of the time-dependent Schr\"odinger equation is approximated…

Numerical Analysis · Mathematics 2023-10-26 Selina Burkhard , Benjamin Dörich , Marlis Hochbruck , Caroline Lasser

In the present paper we consider the semiclassical magnetic Schr\"odinger equation, which describes the dynamics of charged particles under the influence of a electro-magnetic field. The solution of the time-dependent Schr\"odinger equation…

Numerical Analysis · Mathematics 2025-04-07 Malik Scheifinger , Kurt Busch , Marlis Hochbruck , Caroline Lasser

Many approximate solutions of the time-dependent Schr\"odinger equation can be formulated as exact solutions of a nonlinear Schr\"odinger equation with an effective Hamiltonian operator depending on the state of the system. We show that…

Quantum Physics · Physics 2024-09-26 Jiří J. L. Vaníček

This work considers numerical methods for the time-dependent Schr\"{o}dinger equation of incommensurate systems. By using a plane wave method for spatial discretization, the incommensurate problem is lifted to a higher dimension that…

Computational Physics · Physics 2021-03-30 Ting Wang , Huajie Chen , Aihui Zhou , Yuzhi Zhou

In this article, we determine the wave front sets of solutions to time dependent Schr\"odinger equations with a sub-quadratic potential by using the representation of the Schr\"dingier evolution operator via wave packet transform (short…

Analysis of PDEs · Mathematics 2014-08-11 Keiichi Kato , Shingo Ito

Least squares approximation is a technique to find an approximate solution to a system of linear equations that has no exact solution. In a typical setting, one lets $n$ be the number of constraints and $d$ be the number of variables, with…

Data Structures and Algorithms · Computer Science 2010-09-28 Petros Drineas , Michael W. Mahoney , S. Muthukrishnan , Tamas Sarlos

We propose an approximate solution of the time-dependent Schr\"odinger equation using the method of stationary states combined with a variational matrix method for finding the energies and eigenstates. We illustrate the effectiveness of the…

Quantum Physics · Physics 2009-11-11 Paolo Amore , Alfredo Aranda , Francisco M. Fernandez , Hugh Jones

The alternating least squares algorithm for CP and Tucker decomposition is dominated in cost by the tensor contractions necessary to set up the quadratic optimization subproblems. We introduce a novel family of algorithms that uses…

Numerical Analysis · Mathematics 2021-04-15 Linjian Ma , Edgar Solomonik

A variationally improved Sturmian approximation for solving time-independent Schr\"odinger equation is developed. This approximation is used to obtain the energy levels of a quartic anharmonic oscillator, a quartic potential, and a Gaussian…

Quantum Physics · Physics 2009-11-07 Ali Mostafazadeh

We study low-rank tensor methods for the numerical solution of Schr\"odinger's equation with time-independent and explicitly time-dependent Hamiltonians, motivated by large-scale simulations of many-body quantum systems and quantum…

Quantum Physics · Physics 2026-05-05 N. Anders Petersson , Chase Hodges-Heilmann , Stefanie Günther

In this note we take a new look at the local convergence of alternating optimization methods for low-rank matrices and tensors. Our abstract interpretation as sequential optimization on moving subspaces yields insightful reformulations of…

Numerical Analysis · Mathematics 2019-01-14 Ivan Oseledets , Maxim Rakhuba , André Uschmajew

We present a novel iterative algorithm for approximating the linear least squares solution with low complexity. After a motivation of the algorithm we discuss the algorithm's properties including its complexity, and we present theoretical…

Data Structures and Algorithms · Computer Science 2016-11-15 Michael Lunglmayr , Christoph Unterrieder , Mario Huemer

We review an explicit approach to obtaining numerical solutions of the Schr\"odinger equation that is conceptionally straightforward and capable of significant accuracy and efficiency. The method and its efficacy are illustrated with…

Computational Physics · Physics 2023-10-06 Wytse van Dijk

We present an ab initio approach to solve the time-dependent Schr\"odinger equation to treat electron and photon impact multiple ionization of atoms or molecules. It combines the already known time scaled coordinate method with a new high…

An algorithm for the numerical solution of the Schr\"odinger equation in the case of a time dependent potential is proposed. Our simple modification upgrades the well known method of Koonin while negligibly increasing the computing time. In…

Nuclear Theory · Physics 2009-10-28 R. Schaefer , R. Blendowske

In this paper we study the numerical method and the convergence for solving the time-dependent Maxwell-Schr\"{o}dinger equations under the Lorentz gauge. An alternating Crank-Nicolson finite element method for solving the problem is…

Numerical Analysis · Mathematics 2017-03-08 Chupeng Ma , Liqun Cao , Yanping Lin

In this paper we numerically solve the time dependent Schr\"odinger equation for scenarios using wave packets. These examples include the free wave packet, which we use to show the difference between group and phase velocities, the packet…

Physics Education · Physics 2024-07-08 Francisco Guzman-Cajica , Francisco S. Guzman

Numerical solving the Schr\"odinger equation with incommensurate potentials presents a great challenge since its solutions could be space-filling quasiperiodic structures without translational symmetry nor decay. In this paper, we propose…

Numerical Analysis · Mathematics 2023-12-29 Kai Jiang , Shifeng Li , Juan Zhang

We develop time integration methods in low-rank representation that can adaptively adjust approximation ranks to achieve a prescribed accuracy, while ensuring that these ranks remain proportional to the corresponding best approximation…

Numerical Analysis · Mathematics 2025-07-22 Markus Bachmayr , Matthieu Dolbeault , Polina Sachsenmaier
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