World's Best Scientists 2026 revealed!

D-Index & Metrics

Mathematics

D-Index
40
Citations
6362
World Ranking
2065
National Ranking
877

Engineering and Technology

D-Index
45
Citations
7787
World Ranking
5497
National Ranking
1537

Overview

Kyle A. Gallivan is affiliated with Florida State University in the United States. Their research primarily focuses on the field of Computer Science, with significant contributions spanning several subfields. These subfields include Artificial Intelligence, Statistical and Nonlinear Physics, Numerical Analysis, Computational Theory and Mathematics, and Computational Mechanics.

The scientist's research encompasses a variety of main topics, notably Sparse and Compressive Sensing Techniques, Complex Network Analysis Techniques, Advanced Optimization Algorithms Research, Matrix Theory and Algorithms, Advanced Clustering Algorithms Research, Iterative Methods for Nonlinear Equations, and Bayesian Methods and Mixture Models.

Recent publications by Kyle A. Gallivan include:

  • "A Limited-Memory Riemannian Symmetric Rank-One Trust-Region Method with a Restart Strategy" (2022) in Journal of Scientific Computing
  • "Computing the matrix geometric mean: Riemannian versus Euclidean conditioning, implementation techniques, and a Riemannian BFGS method" (2020) in Numerical Linear Algebra with Applications
  • "Riemannian gradient descent methods for graph-regularized matrix completion" (2020) in Linear Algebra and its Applications
  • "Scalable Clustering: Large Scale Unsupervised Learning of Gaussian Mixture Models with Outliers" (2024) in Journal of Computational and Graphical Statistics
  • "A drift homotopy implicit particle filter method for nonlinear filtering problems" (2021) in Discrete and Continuous Dynamical Systems - S

Frequent co-authors who have collaborated extensively with Kyle A. Gallivan include:

  • Wen Huang
  • Paul Van Dooren
  • Jeremy M. Brown
  • James C. Wilgenbusch
  • Meng Wei

The scientist publishes regularly in various academic venues, with repeated contributions in:

  • arXiv (Cornell University)
  • Journal of Scientific Computing
  • IFAC-PapersOnLine
  • Faculty of 1000 Research Ltd
  • Numerical Linear Algebra with Applications

Best Publications

  • Strategies for cache and local memory management by global program transformation

    Dennis Gannon;William Jalby;Kyle Gallivan

  • Trust-Region Methods on Riemannian Manifolds

    P.-A. Absil;C. G. Baker;K. A. Gallivan

  • The gSOAP Toolkit for Web Services and Peer-to-Peer Computing Networks

    R.A. Van Engelen;K.A. Gallivan

  • Optimal linear representations of images for object recognition

    Xiuwen Liu;A. Srivastava;K. Gallivan

  • Parallel algorithms for dense linear algebra computations

    K. A. Gallivan;R. J. Plemmons;A. H. Sameh

  • A rational Lanczos algorithm for model reduction

    K. Gallivan;E Grimme;Paul Van Dooren

  • Asymptotic Waveform Evaluation via a Lanczos Method

    Kyle Gallivan;Eric Grimme;Paul Van Dooren

  • Model Reduction of MIMO Systems via Tangential Interpolation

    K. Gallivan;A. Vandendorpe;P. Van Dooren

  • H2-optimal model reduction of MIMO systems

    Paul Van Dooren;Kyle A. Gallivan;Pierre-Antoine Absil

  • Impact of Hierarchical Memory Systems On Linear Algebra Algorithm Design

    Kyle Gallivan;William Jalby;Ulrike Meier;Ahmed H. Sameh

  • Trust-region methods on Riemannian manifolds with applications in numerical linear algebra

    Pierre-Antoine Absil;Christopher G. Baker;Kyle A. Gallivan

  • A Broyden Class of Quasi-Newton Methods for Riemannian Optimization

    Wen Huang;Kyle A. Gallivan;Pierre-Antoine Absil

  • Sylvester equations and projection-based model reduction

    K. Gallivan;A. Vandendorpe;P. Van Dooren

  • Efficient algorithms for inferences on Grassmann manifolds

    K.A. Gallivan;A. Srivastava;Xiuwen Liu;P. Van Dooren

  • Finding effective optimization phase sequences

    Prasad Kulkarni;Wankang Zhao;Hwashin Moon;Kyunghwan Cho

  • A method for generating rational interpolant reduced order models of two-parameter linear systems

    D.S. Weile;E. Michielssen;E. Grimme;K. Gallivan

  • Parallel Algorithms for Matrix Computations

    K. Gallivan;C. Romine;R. Plemmons;A. Sameh

  • On the problem of optimizing data transfers for complex memory systems

    K. Gallivan;W. Jalby;D. Gannon

  • A compressed sensing approach for partial differential equations with random input data

    L. Mathelin;K. A. Gallivan

  • Pade approximation of large-scale dynamic systems with Lanczos methods

    K. Gallivan;E. Grimme;P. Van Dooren

Frequent Co-Authors

Pierre-Antoine Absil
Pierre-Antoine Absil Université Catholique de Louvain
Paul Van Dooren
Paul Van Dooren Université Catholique de Louvain
Ahmed Sameh
Ahmed Sameh Purdue University West Lafayette
Anuj Srivastava
Anuj Srivastava Florida State University
Xiuwen Liu
Xiuwen Liu Florida State University
Resve Saleh
Resve Saleh University of British Columbia
Allen D. Malony
Allen D. Malony University of Oregon
Ananth Grama
Ananth Grama Purdue University West Lafayette
Eric Michielssen
Eric Michielssen University of Michigan–Ann Arbor
Danny C. Sorensen
Danny C. Sorensen Rice University

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Pursuing a Mathematics degree in the USA opens doors to diverse career opportunities, often complemented by additional qualifications. For professionals seeking to broaden their managerial skills alongside mathematical expertise, the quickest online MBA offers a time-efficient way to gain valuable business insights without interrupting their careers.

Those interested in combining analytical skills with market dynamics might consider a marketing masters. This degree can enhance understanding of consumer behavior and data-driven strategies, which are highly valued in fields like data analytics and financial modeling.

For students focused on accelerated education, exploring the 1 year MBA programs in USA offers an intensive curriculum that complements mathematical backgrounds with leadership and strategic decision-making skills.

Additionally, many online programs recognize prior learning, with some online MBA programs that accept transfer credits making it easier for students and professionals to customize their educational journey. These pathways allow Mathematics graduates to tailor their qualifications to specific career goals, enhancing both employability and expertise.

Best Scientists Citing Kyle A. Gallivan

Trending Scientists

Recently Published Articles