activity
20142026
most citedGraph theory, irreducibility, and structural analysis of differential-algebraic equation systems

3 citations · 8 across the 10 of their papers we have counts for

collaborators

11 papers

math.NA2026

High-Order Lie Derivatives from Taylor Series in the ADTAYL Package

Nedialko S. Nedialkov, John D. Pryce

High-order Lie derivatives are essential in nonlinear systems analysis. If done symbolically, their evaluation becomes increasingly expensive as the order increases. We present a c…

math.NA2025

Sub-ODEs Simplify Taylor Series Algorithms for Ordinary Differential Equations

Nedialko S. Nedialkov, John D. Pryce

A Taylor method for solving an ordinary differential equation initial-value problem , , computes the Taylor series (TS) of the solution at the curren…

math.NA2021

An Energy-based, always Index and Structurally Amenable Electrical Circuit Model

Nedialko Nedialkov, John D. Pryce, Lena Scholz

Combining three themes: port-Hamiltonian energy-based modelling, structural analysis as used in the circuit world, and structural analysis of general differential-algebraic equatio…

math.NA2020

A compact, structural analysis amenable, port-Hamiltonian circuit analysis

John D. Pryce

This article presents a simple port-Hamiltonian formulation of the equations for an RLC electric circuit as a differential-algebraic equation system, and a proof that structural an…

math.NA2017

How AD Can Help Solve Differential-Algebraic Equations

John D. Pryce, Nedialko S. Nedialkov, Guangning Tan +1

A characteristic feature of differential-algebraic equations is that one needs to find derivatives of some of their equations with respect to time, as part of so called index reduc…

cs.SC2016★ 2 cited

Conversion Methods, Block Triangularization, and Structural Analysis of Differential-Algebraic Equation Systems

Guangning Tan, Nedialko S. Nedialkov, John D. Pryce

In a previous article, the authors developed two conversion methods to improve the -method for structural analysis (SA) of differential-algebraic equations (DAEs). These methods…

cs.SC2016★ 1 cited

Conversion Methods for Improving Structural Analysis of Differential-Algebraic Equation Systems

Guangning Tan, Nedialko S. Nedialkov, John D. Pryce

Differential-algebraic equation systems (DAEs) are generated routinely by simulation and modeling environments. Before a simulation starts and a numerical method is applied, some k…

cs.SC2015

Symbolic-numeric methods for improving structural analysis of differential-algebraic equation systems

Guangning Tan, Ned S. Nedialkov, John D. Pryce

Systems of differential-algebraic equations (DAEs) are generated routinely by simulation and modeling environments such as Modelica and MapleSim. Before a simulation starts and a n…

math.NT2015

On Higher Dimensional Fibonacci Numbers, Chebyshev Polynomials and Sequences of Vector Convergents

Mark W. Coffey, James L. Hindmarsh, Matthew C. Lettington +1

We study higher-dimensional interlacing Fibonacci sequences, generated via both Chebyshev type functions and -dimensional recurrence relations. For each integer , there exist…

math.NA2014★ 3 cited

Graph theory, irreducibility, and structural analysis of differential-algebraic equation systems

John D. Pryce, Nedialko S. Nedialkov, Guangning Tan

The -method for structural analysis of a differential-algebraic equation (DAE) system produces offset vectors from which the sparsity pattern of a system Jacobian is derived. Th…

math.NA2014★ 2 cited

Exploiting Fine Block Triangularization and Quasilinearity in Differential-Algebraic Equation Systems

Nedialko S. Nedialkov, Guangning Tan, John D. Pryce

The -method for structural analysis of a differential-algebraic equation (DAE) system produces offset vectors from which the sparsity pattern of DAE's system Jacobian is derived…