Results 1 to 10 of about 1,249,016 (318)
The quickhull algorithm for convex hulls
ACM Transactions on Mathematical Software, 1996 C. Barber, D. Dobkin, H. Huhdanpaa
exaly +2 more sources
The inverse k-max combinatorial optimization problem [PDF]
Yugoslav Journal of Operations Research, 2023 Classical combinatorial optimization concerns finding a feasible subset of a ground set in order to optimize an objective function. We address in this article the inverse optimization problem with the k-max function. In other words, we attempt to perturb
Nhan Tran Hoai Ngoc +3 more
doaj +1 more source
Experimental and Numerical Investigation of the Heat Transfer of Honeycomb-Structured Tubes
Thermo, 2023 Tube bundle recuperators are generally designed to operate with smooth tubes. Structured tubes can be used to increase the efficiency of recuperators. Compared to smooth tubes, the surface for heat transfer is increased and thus heat transfer is enhanced.
Eileen Trampe +2 more
doaj +1 more source
Some q-Fractional Estimates of Trapezoid like Inequalities Involving Raina’s Function
Fractal and Fractional, 2022 In this paper, we derive two new identities involving q-Riemann-Liouville fractional integrals. Using these identities, as auxiliary results, we derive some new q-fractional estimates of trapezoidal-like inequalities, essentially using the class of ...
Kamsing Nonlaopon +4 more
doaj +1 more source
Computer Vision, 2010 This textbook is based on lectures given by the authors at MIPT (Moscow), HSE (Moscow), FEFU (Vladivostok), V.I. Vernadsky KFU (Simferopol), ASU (Republic of Adygea), and the University of Grenoble-Alpes (Grenoble, France).
Stephen P. Boyd, L. Vandenberghe
semanticscholar +1 more source
An Adaptive Projection Gradient Method for Solving Nonlinear Fractional Programming
Fractal and Fractional, 2022 In this study, we focus on solving the nonlinear fractional optimization problem in which the numerator is smooth convex and the denominator is smooth concave.
Mootta Prangprakhon +2 more
doaj +1 more source
Exact Matrix Completion via Convex Optimization [PDF]
Foundations of Computational Mathematics, 2008 We consider a problem of considerable practical interest: the recovery of a data matrix from a sampling of its entries. Suppose that we observe m entries selected uniformly at random from a matrix M.
E. Candès, B. Recht
semanticscholar +1 more source
Frontiers in Psychology, 2020 An assessment of mood or emotion is important in developing mental health measures, and facial expressions are strongly related to mood or emotion. This study thus aimed to examine the relationship between levels of negative mood and characteristics of ...
Chika Nanayama Tanaka +6 more
doaj +1 more source
Meta-Learning With Differentiable Convex Optimization [PDF]
Computer Vision and Pattern Recognition, 2019 Many meta-learning approaches for few-shot learning rely on simple base learners such as nearest-neighbor classifiers. However, even in the few-shot regime, discriminatively trained linear predictors can offer better generalization.
Kwonjoon Lee +3 more
semanticscholar +1 more source
Advances in Ostrowski-Mercer Like Inequalities within Fractal Space
Fractal and Fractional, 2023 The main idea of the current investigation is to explore some new aspects of Ostrowski’s type integral inequalities implementing the generalized Jensen–Mercer inequality established for generalized s-convexity in fractal space.
Miguel Vivas-Cortez +4 more
doaj +1 more source