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Newton’s Method01:30

Newton’s Method

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Newton’s Method is a powerful iterative technique for approximating the roots of real-valued, differentiable functions, particularly when analytical solutions are impractical. This approach is widely used in scientific computing, engineering, and finance, where equations may be too complex for traditional algebraic methods to handle. The method relies on an iterative process that refines an initial estimate using the function’s derivative to approach the true solution progressively.
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Routh-Hurwitz Criterion II01:19

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In the application of the Routh-Hurwitz criterion, two specific scenarios can arise that complicate stability analysis.
The first scenario occurs when a singular zero appears in the first column of the Routh table. This situation creates a division by zero issues. To resolve this, a small positive or negative number, denoted as epsilon (∈), is substituted for the zero. The stability analysis proceeds by assuming a sign for ∈. If ∈ is positive, any sign change in the first...
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Properties of the Root Locus01:05

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The root locus method is an invaluable tool for analyzing higher-order systems without needing to factor the denominator of the transfer function. A pole of the system is identified when the characteristic polynomial in the transfer function's denominator equals zero.
To determine if a point lies on the root locus, the criterion involves the sum of angles contributed by all poles and zeros to that point. Specifically, this sum must be an odd multiple of 180 degrees. The gain at any point on...
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Plotting and Calibrating the Root Locus01:19

Plotting and Calibrating the Root Locus

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Root loci often diverge as system poles shift from the real axis to the complex plane. Key points in this transition are the breakaway and break-in points, indicating where the root locus leaves and reenters the real axis. The branches of the root locus form an angle of 180/n degrees with the real axis, where n is the number of branches at a breakaway or break-in point.
The maximum gain occurs at the breakaway points between open-loop poles on the real axis, while the minimum gain is...
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Construction of Root Locus01:15

Construction of Root Locus

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The construction of a root locus involves several key steps to analyze and visualize the behavior of a system's poles with varying gain. The number of branches in the root locus equals the number of closed-loop poles and is symmetrical about the real axis.
For positive gain values, the root locus exists on the real axis to the left of an odd number of finite open-loop poles or zeros. The root locus starts at the open-loop poles and traces the paths of the closed-loop poles as the gain...
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Routh-Hurwitz Criterion I01:15

Routh-Hurwitz Criterion I

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Consider an electrical power grid, where stability is essential to prevent blackouts. The Routh-Hurwitz criterion is a valuable tool for assessing system stability under varying load conditions or faults. By analyzing the closed-loop transfer function, the Routh-Hurwitz criterion helps determine whether the system remains stable.
To apply the Routh-Hurwitz criterion, a Routh table is constructed. The table's rows are labeled with powers of the complex frequency variable s, starting from the...
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Updated: Apr 10, 2026

Experimental and Data Analysis Workflow for Soft Matter Nanoindentation
13:04

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Published on: January 18, 2022

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New stopping criteria for iterative root finding.

Jorgen L Nikolajsen1

  • 1Faculty of Computing, Engineering and Sciences , Staffordshire University , Stafford ST18 0AD, UK.

Royal Society Open Science
|June 12, 2015
PubMed
Summary
This summary is machine-generated.

New stopping criteria for iterative root finding significantly enhance efficiency. These methods reduce computational workload by approximately one-third without impacting root accuracy.

Keywords:
fractional significant digitsroot findingstopping criteria

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Area of Science:

  • Numerical Analysis
  • Computational Mathematics

Background:

  • Iterative root-finding algorithms are fundamental in scientific computing.
  • Current stopping criteria can be inefficient, leading to unnecessary computations.

Purpose of the Study:

  • To introduce novel, simple stopping criteria for iterative root-finding methods.
  • To enhance computational efficiency by minimizing function evaluations.

Main Methods:

  • Developed stopping criteria based on fractional significant digits.
  • Integrated these criteria into existing root-finding procedures.
  • Utilized function evaluations already performed by the algorithm.

Main Results:

  • Achieved significant reductions in iteration workload, approximately one-third.
  • Demonstrated that the new criteria terminate iterations when no further improvement is possible.
  • Maintained the accuracy of the extracted roots.

Conclusions:

  • The proposed stopping criteria offer a substantial efficiency improvement for iterative root finding.
  • These criteria are practical as they rely solely on existing function evaluations.
  • The method provides a balance between computational efficiency and result accuracy.