mathematics3 papersavg year 1994weak evidence

The application of the ε-algorithm to other problems

Research gap analysis derived from 3 mathematics papers in our local library.

The gap

The application of the ε-algorithm to other problems. The development of new methods that can improve the convergence of iterative numerical techniques.

Evidence profile

Sourced from the stated research gap and future-work section and conclusions of the source papers, classified as general, drawn from work published between 1962 and 2026, spanning 3 journals.

Research trend

Established — well-defined area with open sub-problems.

Supporting evidence — 4 representative gaps

  • A note on the fitting of certain types of experimental data* (1962) · Statistica Neerlandica · doi

    The need for a method that can improve the convergence of iterative numerical techniques. The limitation of the Newton process for determining the root of an equation.

    generalstated research gap
    Keywords: need method improve convergence iterative numerical techniques limitation
  • A note on the fitting of certain types of experimental data* (1962) · Statistica Neerlandica · doi

    The application of the ε-algorithm to other problems. The development of new methods that can improve the convergence of iterative numerical techniques.

    generalfuture-work section
    Keywords: application algorithm other problems development new methods improve
  • Stochastic Gradient Descent for Incomplete Tensor Linear Systems (2026) · BIT Numerical Mathematics · doi

    Alternatively, the convergence of iterative methods other than SGD, such as Gauss-Seidel variants, could be studied using a proof technique similar to that of Theorem 2.

    generalconclusionsevidence 5/5
    Keywords: alternatively convergence iterative gauss seidel variants studied using proof technique similar theorem
  • Increasing the order of convergence in Jacobian-free iterative schemes: applications to real-life problems (2026) · Numerical Algorithms · doi

    Future research can focus on further improving the convergence order of the new methods. The authors suggest exploring the application of the new methods to other types of problems. Further research can investigate the use of auxiliary functions and weighting operators in other iterative schemes.

    generalfuture-work sectionevidence 5/5
    Keywords: future research focus further improving convergence order new

Questions about this gap

The application of the ε-algorithm to other problems. The development of new methods that can improve the convergence of iterative numerical techniques. This is supported by 4 representative gap statements extracted from 3 papers, rated weak evidence.

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