Auwal Bala Abubakar

Computational and Applied Mathematics · 2018–2019

A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Auwal Bala Abubakar trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Sergey Igorevich Kabanikhin
  2. William W. Hager
  3. Hongchao Zhang
  4. Poom Kumam
  5. Donghui Li
  6. Nobuo Yamashita
  7. Li Zhang
  8. Jose Mario Martínez

Who trusts Auwal Bala Abubakar overall

  1. Poom Kumam

Papers from Auwal Bala Abubakar's perspective

Ordered by how strongly the researchers Auwal Bala Abubakar trusts endorse each paper. Same corpus, a different order for every researcher.

  1. A New Conjugate Gradient Method with Guaranteed Descent and an Efficient Line Search (SIAM Journal on Optimization)
  2. Gradient Projection for Sparse Reconstruction: Application to Compressed Sensing and Other Inverse Problems (IEEE Journal on Selected Topics in Signal Processing)
  3. Image quality assessment: from error visibility to structural similarity
  4. Levenberg–Marquardt methods with strong local convergence properties for solving nonlinear equations with convex constraints
  5. Function minimization by conjugate gradients
  6. Definitions and examples of inverse and ill-posed problems
  7. An improved three-term derivative-free method for solving nonlinear equations (Computational and Applied Mathematics)
  8. New hybrid conjugate gradient projection method for the convex constrained equations
  9. Benchmarking optimization software with performance profiles
  10. Updating Quasi-Newton Matrices With Limited Storage

Their papers