Evidence map›Paper›PMID 37200831›Full record

ArticleSIAM journal on optimization : a publication of the Society for Industrial and Applied Mathematics2022

ORTHOGONAL TRACE-SUM MAXIMIZATION: TIGHTNESS OF THE SEMIDEFINITE RELAXATION AND GUARANTEE OF LOCALLY OPTIMAL SOLUTIONS.

Joong-Ho Won, Teng Zhang, Hua Zhou

Abstract read
In one paragraph

Article in SIAM journal on optimization : a publication of the Society for Industrial and Applied Mathematics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Joong-Ho WonDepartment of Statistics, Seoul National University, Seoul 08826, Korea.
Teng ZhangDepartment of Mathematics, University of Central Florida, Orlando, FL 32816 USA.
Hua ZhouDepartments of Biostatistics and Computational Medicine, University of California, Los Angeles, CA 90095 USA.

Funding

Genomics, GPUs, and Next Generation Computational StatisticsR01HG006139 · NHGRI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI SOBEL, ERIC · 2011 to 2023
$5.1M
Modeling, Inference, and Optimization for Genomic and Biomedical Big DataR35GM141798 · NIGMS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI LANGE, KENNETH L · 2021 to 2025
$2.7M
NHGRI NIH HHS R01 HG006139NIGMS NIH HHS R35 GM141798
6 · The paper itself

Abstract

This paper studies an optimization problem on the sum of traces of matrix quadratic forms in

Indexed as

68Q2568R1068U05estimation errorlocally optimal solutionssemidefinite programmingtightness of convex relaxation

Identifiers

PMID37200831
PMCPMC10191374

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.