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This paper develops a correspondence relating convex hulls of fractional functions with those of polynomial functions over the same domain. Using this result, we develop a number of new reformulations and relaxations for fractional…

Optimization and Control · Mathematics 2024-06-18 Taotao He , Siyue Liu , Mohit Tawarmalani

We consider a two-dimensional model of double-diffusive convection and its time discretisation using a second-order scheme which treat the nonlinear term explicitly (backward differentiation formula with a one-leg method). Uniform bounds on…

Numerical Analysis · Mathematics 2014-02-28 Florentina Tone , Xiaoming Wang , Djoko Wirosoetisno

To help resolve issues of non-realizability and restriction to homogeneity faced by analytical theories of turbulence, we explore three-dimensional homogeneous shear turbulence of incompressible Newtonian fluids via optimal control and…

Fluid Dynamics · Physics 2020-09-01 Luoyi Tao

In multi-phase fluid flow, fluid-structure interaction, and other applications, partial differential equations (PDEs) often arise with discontinuous coefficients and singular sources (e.g., Dirac delta functions). These complexities arise…

Numerical Analysis · Mathematics 2019-07-24 Chung-Nan Tzou , Samuel Stechmann

Bilevel optimization formulates hierarchical decision-making processes that arise in many real-world applications such as in pricing, network design, and infrastructure defense planning. In this paper, we consider a class of bilevel…

Optimization and Control · Mathematics 2021-04-20 Geunyeong Byeon , Pascal Van Hentenryck

Two-dimensional quadratic algebras are generalizations of Lie algebras that include the symmetry algebras of 2nd order superintegrable systems in 2 dimensions as special cases. The superintegrable systems are exactly solvable physical…

Mathematical Physics · Physics 2015-06-09 Robin Heinonen , Ernest G. Kalnins , Willard Miller , Eyal Subag

We introduce a natural notion of depth that applies to individual cutting planes as well as entire families. This depth has nice properties that make it easy to work with theoretically, and we argue that it is a good proxy for the practical…

Optimization and Control · Mathematics 2019-03-14 Laurent Poirrier , James Yu

In this paper, we establish several new inequalities for some twice differantiable mappings. Then, we apply these inequalities to obtain new midpoint, trapezoid and perturbed trapezoid rules. Finally, some applications for special means of…

Classical Analysis and ODEs · Mathematics 2010-05-06 M. Z. Sarikaya , E. Set , M. E. Ozdemir

We consider the problem of minimizing a sparse nonconvex quadratic function over the unit hypercube. By developing an extension of the Reformulation-Linearization Technique (RLT) to continuous quadratic sets, we propose a novel second-order…

Optimization and Control · Mathematics 2026-04-23 Santanu S. Dey , Aida Khajavirad

It is important to design separation algorithms of low computational complexity in mixed integer programming. We study the separation problems of the two continuous knapsack polyhedra with divisible capacities. The two polyhedra are the…

Optimization and Control · Mathematics 2019-07-09 Wei-Kun Chen , Yu-Hong Dai

The hull of a linear code is defined as the intersection of the code and its dual. This concept was initially introduced to classify finite projective planes. The hull plays a crucial role in determining the complexity of algorithms used to…

Information Theory · Computer Science 2025-11-25 Sanjit Bhowmick , Deepak Kumar Dalai , Sihem Mesnager

In this paper we provide a detailed convergence analysis for an unconditionally energy stable, second-order accurate convex splitting scheme for the Modified Phase Field Crystal equation, a generalized damped wave equation for which the…

Numerical Analysis · Mathematics 2012-08-08 Arvind Baskaran , John Lowengrub , Cheng Wang , Steve Wise

Current state-of-the-art methods for solving discrete optimization problems are usually restricted to convex settings. In this paper, we propose a general approach based on cutting planes for solving nonlinear, possibly nonconvex, binary…

Optimization and Control · Mathematics 2022-03-21 Hoa T. Bui , Qun Lin , Ryan Loxton

We consider a general conic mixed-binary set where each homogeneous conic constraint $j$ involves an affine function of independent continuous variables and an epigraph variable associated with a nonnegative function, $f_j$, of common…

Optimization and Control · Mathematics 2023-12-29 Fatma Kılınç-Karzan , Simge Küçükyavuz , Dabeen Lee , Soroosh Shafieezadeh-Abadeh

We study a natural extension to the well-known convex hull problem by introducing multiplicity: if we are given a set of convex polygons, and we are allowed to partition the set into multiple components and take the convex hull of each…

Computational Geometry · Computer Science 2020-12-07 Xiao Mao

In this work, a conformable singular system with second-class constraints is discussed. The conformable Poisson bracket (CDB) of two functions is defined. and, the Dirac theory is developed to be applicable to conformable singular systems.…

Classical Physics · Physics 2023-08-01 Eqab. M. Rabei , Mohamed. Al-Masaeed , Dumitru Baleanu

Second-order necessary optimality conditions for nonlinear conic programming problems that depend on a single Lagrange multiplier are usually built under nondegeneracy and strict complementarity. In this paper we establish a condition of…

Optimization and Control · Mathematics 2022-08-08 Ellen H. Fukuda , Gabriel Haeser , Leonardo M. Mito

We show that the "double circle" order type and some of its generalizations have a compatible triangulation with any other order types with the same number of points and number of edges on convex hull, thus proving another special case of…

Combinatorics · Mathematics 2025-08-07 Hong Duc Bui

Conic optimization has recently emerged as a powerful tool for designing tractable and guaranteed algorithms for non-convex polynomial optimization problems. On the one hand, tractability is crucial for efficiently solving large-scale…

An antinorm is a concave nonnegative homogeneous functional on a convex cone. It is shown that if the cone is polyhedral, then every antinorm has a unique continuous extension from the interior of the cone. The main facts of the duality…

Metric Geometry · Mathematics 2021-09-27 Vladimir Yu. Protasov