How many papers support this gap analysis?

3 papers from our local library contribute to this synthesis, with an average publication year of 2026.

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mathematics3 papersavg year 2026weak evidence

The paper identifies the need for a new method to solve

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

The gap

The paper identifies the need for a new method to solve the B-eigenvalue problem. The paper identifies the limitation of existing methods.

Evidence profile

Sourced from the stated research gap and future-work section of the source papers, classified as general, spanning 3 journals.

Research trend

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

Supporting evidence — 3 representative gaps

From eigenvector nonlinearities with quadratic structure to eigenvalue nonlinearities with algebraic structure (2026) · BIT Numerical Mathematics · doi
The existing methods for solving eigenvalue problems with eigenvector nonlinearities have limitations. There is a need for a new method that can effectively solve such problems. The paper identifies a gap in the existing literature and proposes a new method to fill this gap.
generalstated research gap
Keywords: existing methods solving eigenvalue problems eigenvector nonlinearities have
A feasible conjugate gradient method for calculating B-eigenpairs of symmetric tensors (2026) · Journal of Computational and Applied Mathematics · doi
The paper identifies the need for a new method to solve the B-eigenvalue problem. The paper identifies the limitation of existing methods.
generalstated research gapevidence 4/5
Keywords: paper identifies need new method solve b-eigenvalue problem
Nonconforming Finite Element Approximation and Energy Lower Bound Estimation for the Gross–Pitaevskii Energy Functional (2026) · Journal of Scientific Computing · doi
To incorporate Riemannian acceleration techniques to enhance computational efficiency. To apply the method to other nonlinear eigenvalue problems.
generalfuture-work sectionevidence 4/5
Keywords: incorporate riemannian acceleration techniques enhance computational efficiency apply

Questions about this gap

The paper identifies the need for a new method to solve the B-eigenvalue problem. The paper identifies the limitation of existing methods. This is supported by 3 representative gap statements extracted from 3 papers, rated weak evidence.

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