Conference on Applied and Computational Discrete Algorithms

SIAM Conference

SIAM Conference on Applied and Computational Discrete Algorithms (ACDA23)

May 31 - June 2, 2023

The Sheraton Grand Seattle | Seattle, Washington, U.S.


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About the Conference

About the Conference


This is the conference of the SIAM Activity Group on Applied & Computational Discrete Algorithms.

This conference is co-located with SIAM Conference on Optimization (OP23).

ACDA brings together researchers who design and study combinatorial and graph algorithms motivated by applications. ACDA is organized by SIAM under the auspices of the SIAM Activity Group on Applied and Computational Discrete Algorithms. ACDA expands the area of Combinatorial Scientific Computing to applications of discrete models and algorithms across all areas in the physical and life sciences and engineering, the social and information sciences, and anywhere discrete mathematical techniques are used to formulate and solve problems in the world. ACDA invites papers on the formulation of combinatorial problems from applications; theoretical analyses; design of algorithms; computational evaluation of the algorithms; and deployment of the resulting software to enable applications.

The conference will include a refereed proceedings, selected based on 10-page submissions. Awards will be given for best paper, best poster, and best student presentation.

Included Themes

Included Themes

Topics of interest include but are not limited to discrete or combinatorial problems and algorithms arising in:

  •  Algorithm engineering
  • Algorithmic differentiation (AD) 
  • Combinatorial optimization and mathematical programming, including scheduling and resource allocation problems
  • Combinatorial scientific computing (CSC) including models, algorithms, applications, numerical methods, and problems arising in data analysis
  • Computational biology and bioinformatics
  • Data management and data science 
  • Design and analysis of application-inspired exact, randomized, streaming, and approximation algorithms 
  • Graph and hypergraph algorithms, including problems arising in network science and complex networks 
  • Interaction between algorithms and modern computing platforms, including challenges arising from memory hierarchies, accelerators, and novel memory technologies
  • Machine learning and statistical methods for solving combinatorial problems 
  • Numerical linear algebra, including sparse matrix computations and randomized approaches 
  • Parallel and distributed computing, including algorithms, architectures, distributed systems, and all parallelism ranging from instruction-level and multi-core all the way to clouds and exascale 
  • Other applications arising from security, computational finance, computational chemistry/physics, quantum computing, etc.

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Conference Sponsors

Funding Agency

SIAM and the Organizing Committee wish to extend their thanks and appreciation to the U.S. National Science Foundation  for their support.

Ways to Sponsor

SIAM invites you to show support of this meeting through sponsorship opportunities ranging from support of receptions, audio-video needs, to awards for student travel, and more.

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Thank you to our sponsors

Thank you to our conference sponsors

Thank you to our sponsors

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