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Everything about HiGHS optimization solver
Numerical software
HiGHS is open-source software to solve linear programming (LP), mixed-integer programming (MIP), and convex quadratic programming (QP) models. Wikipedia →
🧭 Start here: a 6-step reading path
- Read the overview: HiGHS optimization solverA 5-minute orientation
- Skim a recent paper: A High-Performance Digital QUBO Solver for Quantum-Inspired OptimizationInfluential work since 2022
- Pick up a classic book: High Performance Computing for Computational Science - VECPAR 2012The most-reprinted book on the subject
- Go sideways: COIN-ORA closely related topic
- Go sideways: JuMPA closely related topic
📖 Definitions
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🗂️ The subject at a glance
🏆 Landmark papers (most cited)
- No matching papers found.
🆕 Influential since 2022
📚 Books worth reading
High Performance Computing for Computational Science - VECPAR 2012Michel Daydé · 2013
GPU computing gemsWen-mei Hwu · 2011
A first course in computational physics and object-oriented programming with C++David Yevick · 2005
High-Performance ComputingJesus Labarta · 2008- 📕Parallel computing is everywhereItaly) ParCo (Conference) (2017 Bologna · 2018
Computational fluid dynamics review 2010M. M. Hafez, K. Oshima · 2010- 📕First ACM and IEEE International Conference on Formal Methods and Models for Co-DesignFrance) ACM and IEEE International Conference on Formal Methods and Models for Co-Design (1st 2003 Le Mont-Saint-Michel · 2003
- 📕Applied Aerodynamics Conference 2014Great Britain) Applied Aerodynamics Conference (2014 Bristol · 2014
Ranked by number of editions on Open Library, a rough measure of how lasting a book is.
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