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Domain-Driven Solver (DDS) Version 2.1: a MATLAB-based software package for convex optimization problems in domain-driven form Mehdi KarimiLevent Tunçel Full Length Paper 21 October 2023 Pages: 37 - 92
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Regularization of limited memory quasi-Newton methods for large-scale nonconvex minimization Christian KanzowDaniel Steck Full Length Paper Open access 10 June 2023 Pages: 417 - 444
JuMP 1.0: recent improvements to a modeling language for mathematical optimization Miles LubinOscar DowsonJuan Pablo Vielma Short communication 02 June 2023 Pages: 581 - 589
A hierarchy of spectral relaxations for polynomial optimization Ngoc Hoang Anh MaiJean-Bernard LasserreVictor Magron Full Length Paper 22 May 2023 Pages: 651 - 701
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Adaptive sampling quasi-Newton methods for zeroth-order stochastic optimization Raghu BollapragadaStefan M. Wild Full Length Paper 14 March 2023 Pages: 327 - 364
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Performance enhancements for a generic conic interior point algorithm Chris CoeyLea KapelevichJuan Pablo Vielma Full Length Paper Open access 17 September 2022 Pages: 53 - 101
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Enhanced formulation for the Guillotine 2D Cutting Knapsack Problem Henrique BeckerOlinto AraújoLuciana S. Buriol Full Length Paper Open access 12 July 2022 Pages: 673 - 697
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Limited-memory common-directions method for large-scale optimization: convergence, parallelization, and distributed optimization Ching-pei LeePo-Wei WangChih-Jen Lin Full Length Paper Open access 29 March 2022 Pages: 543 - 591
QPALM: a proximal augmented lagrangian method for nonconvex quadratic programs Ben HermansAndreas ThemelisPanagiotis Patrinos Full Length Paper 22 March 2022 Pages: 497 - 541
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Efficient unconstrained black box optimization Morteza KimiaeiArnold Neumaier Full Length Paper Open access 03 February 2022 Pages: 365 - 414
Adaptive primal-dual stochastic gradient method for expectation-constrained convex stochastic programs Yonggui YanYangyang Xu Full Length Paper 03 February 2022 Pages: 319 - 363
A penalized method of alternating projections for weighted low-rank hankel matrix optimization Jian ShenJein-Shan ChenNaihua Xiu Full Length Paper Open access 03 February 2022 Pages: 417 - 450
LMBOPT: a limited memory method for bound-constrained optimization Morteza KimiaeiArnold NeumaierBehzad Azmi Full Length Paper Open access 10 January 2022 Pages: 271 - 318
Scalable branching on dual decomposition of stochastic mixed-integer programming problems Kibaek KimBrian Dandurand Full Length Paper 04 January 2022 Pages: 1 - 41
Dantzig–Wolfe reformulations for binary quadratic problems Alberto CeselliLucas LétocartEmiliano Traversi Full Length Paper 03 January 2022 Pages: 85 - 120
An augmented Lagrangian method with constraint generation for shape-constrained convex regression problems Meixia LinDefeng SunKim-Chuan Toh Full Length Paper 08 November 2021 Pages: 223 - 270
Adaptive large neighborhood search for mixed integer programming Gregor Hendel Full Length Paper Open access 08 November 2021 Pages: 185 - 221
Correction to: Asynchronous Lagrangian scenario decomposition Ignacio AravenaAnthony Papavasiliou Correction Open access 03 November 2021 Pages: 415 - 416
acados—a modular open-source framework for fast embedded optimal control Robin VerschuerenGianluca FrisonMoritz Diehl Full Length Paper 09 October 2021 Pages: 147 - 183
On scaled stopping criteria for a safeguarded augmented Lagrangian method with theoretical guarantees R. AndreaniG. HaeserP. J. S. Silva Full Length Paper 18 September 2021 Pages: 121 - 146
An inexact proximal augmented Lagrangian framework with arbitrary linearly convergent inner solver for composite convex optimization Fei LiZheng Qu Full Length Paper 17 July 2021 Pages: 583 - 644
Deterministic global optimization with Gaussian processes embedded Artur M. SchweidtmannDominik BongartzAlexander Mitsos Full Length Paper Open access 25 June 2021 Pages: 553 - 581
Optimal patchings for consecutive ones matrices Marc E. PfetschGiovanni RinaldiPaolo Ventura Full Length Paper Open access 07 June 2021 Pages: 43 - 84
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