Electronic Journal of Linear Algebra

Scope & Guideline

Pioneering Discoveries in Linear Algebra Theory.

Introduction

Immerse yourself in the scholarly insights of Electronic Journal of Linear Algebra with our comprehensive guidelines detailing its aims and scope. This page is your resource for understanding the journal's thematic priorities. Stay abreast of trending topics currently drawing significant attention and explore declining topics for a full picture of evolving interests. Our selection of highly cited topics and recent high-impact papers is curated within these guidelines to enhance your research impact.
LanguageEnglish
ISSN1537-9582
PublisherINT LINEAR ALGEBRA SOC
Support Open AccessNo
Country-
Type-
Converge-
AbbreviationELECTRON J LINEAR AL / Electron. J. Linear Algebra
Frequency1 issue/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
AddressC/O JAMES WEAVER DEPT MATH & STATISTICS, UNIV WEST FLORIDA, 11000 UNIV PARKWAY, PENSACOLA, FLORIDA 32514-5751

Aims and Scopes

The *Electronic Journal of Linear Algebra* focuses on the theoretical and applied aspects of linear algebra, emphasizing the mathematical structure and properties of matrices and linear transformations. The journal serves as a platform for both established and emerging topics in the field, promoting rigorous research and innovative methodologies.
  1. Matrix Theory and Applications:
    The journal emphasizes studies related to the properties, applications, and transformations of matrices, including special classes like positive definite matrices, structured matrices, and their inverses.
  2. Eigenvalue Problems:
    A significant portion of the research addresses various eigenvalue problems, including inverse eigenvalue problems, spectral properties, and the implications of eigenvalues in different mathematical contexts.
  3. Graph Theory and Linear Algebra:
    The interplay between graph theory and linear algebra is a core theme, with papers exploring spectral graph theory, properties of graphs through matrices, and applications of linear algebra in graph-related problems.
  4. Numerical Linear Algebra:
    The journal includes research on numerical methods for solving linear algebra problems, focusing on algorithms, computational efficiency, and accuracy in matrix computations.
  5. Inequalities and Matrix Analysis:
    Research on inequalities related to matrices and linear transformations is prevalent, contributing to the theoretical framework of matrix analysis and its applications.
The *Electronic Journal of Linear Algebra* has shown a dynamic evolution in its focus areas, with several emerging themes gaining traction in recent publications. These trends indicate the journal's responsiveness to contemporary mathematical challenges and interdisciplinary applications.
  1. Matrix Equations and Their Solutions:
    Recent papers are increasingly addressing complex matrix equations, including rational solutions and specific structured cases, reflecting a growing interest in solving advanced matrix-related problems.
  2. Nonnegative Matrices and Tensors:
    There is a notable trend towards exploring nonnegative matrices and tensors, their properties, and applications, indicating a rising interest in these areas within both theoretical and applied contexts.
  3. Spectral Properties and Graph Theory:
    The integration of spectral properties with graph theory is becoming more pronounced, as researchers explore how matrix eigenvalues relate to graph characteristics, enhancing the understanding of both fields.
  4. Advanced Numerical Techniques:
    Emerging themes in numerical linear algebra, particularly focusing on efficiency and accuracy in matrix computations, are increasingly prominent, reflecting the demand for improved computational methods.
  5. Inequalities in Matrix Theory:
    Research on new inequalities related to matrices and their applications is on the rise, indicating a growing interest in theoretical advancements in matrix analysis.

Declining or Waning

While the *Electronic Journal of Linear Algebra* continues to evolve, certain themes have seen a decline in prominence over recent years. This shift may reflect changing research interests or advancements in related fields.
  1. Classical Matrix Factorizations:
    While still relevant, topics focused on classical matrix factorizations, such as LU and QR decompositions, appear less frequently as research increasingly shifts towards more complex and specialized matrix structures.
  2. Elementary Linear Algebra Concepts:
    Basic concepts of linear algebra, typically covered in introductory texts, are becoming less central in published papers, indicating a move towards more advanced and specialized topics.
  3. Specific Applications in Physics:
    Research papers that solely focus on direct applications of linear algebra in physics, such as quantum mechanics, have decreased, suggesting a shift towards more interdisciplinary approaches involving broader mathematical frameworks.

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