Results 21 to 30 of about 86,877,734 (157)

Higher-Order Optimality Conditions for a Minimax [PDF]

open access: yes, 1992
Higher-order necessary and sufficient optimality conditions for a nonsmooth minimax problem with infinitely many constraints of inequality type are established under suitable basic assumptions and regularity ...
Luu, Do Van, Oettli, Werner
core   +1 more source

Optimality and Duality for Nondifferentiable Minimax Fractional Programming with Generalized Convexity [PDF]

open access: yes, 2011
We establish several sufficient optimality conditions for a class of nondifferentiable minimax fractional programming problems from a view point of generalized convexity.
Anurag Jayswal
core   +1 more source

Neuromorphic Devices and Computing for Sensing, Memory, and Control

open access: yesAdvanced Science, EarlyView.
This review introduces neuromorphic devices made from diverse materials. These devices mimic neuronal functions and architectures and, when integrated with artificial or biological computing, can form closed loops with neurons for pressure, optical, acoustic, and biochemical sensing and modulation.
Zhengguang Zhu   +2 more
wiley   +1 more source

Calm local optimality for nonconvex-nonconcave minimax problems

open access: yes, 2023
Nonconvex-nonconcave minimax problems have found numerous applications in various fields including machine learning. However, questions remain about what is a good surrogate for local minimax optimum and how to characterize the minimax optimality ...
Ye, Jane J.   +3 more
core  

AI‐Driven Cancer Multi‐Omics: A Review From the Data Pipeline Perspective

open access: yesAdvanced Intelligent Discovery, EarlyView.
The exponential growth of cancer multi‐omics data brings opportunities and challenges for precision oncology. This review systematically examines AI's role in addressing these challenges, covering generative models, integration architectures, Explainable AI for clinical trust, clinical applications, and key directions for clinical translation.
Shilong Liu, Shunxiang Li, Kun Qian
wiley   +1 more source

Sufficient Conditions and Duality Theorems for Nondifferentiable Minimax Fractional Programming [PDF]

open access: yes, 2011
We consider nondifferentiable minimax fractional programming problems involving B-(p, r)-invex functions with respect to η and b. Sufficient optimality conditions and duality results for a class of nondifferentiable minimax fractional programming ...
Shun-Chin Ho
core   +1 more source

Generative Models in Inorganic Crystals Discovery and Inverse Design

open access: yesENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
Generative inverse‐design samples from the vast inorganic crystal design space by starting from target properties such as band gap, stability, and ion transport. This Review examines the representations, generative models, and validation workflows needed to translate candidate structures into stable, potentially synthesizable materials for applications
Tao Li   +5 more
wiley   +1 more source

Optimal (energy efficient) heat supply to buildings in central heating system

open access: yesИзвестия Томского политехнического университета: Инжиниринг георесурсов, 2019
The aim of the research is to find the conditions for achieving minimum of energy loss when heating a building in central heating system. Relevance of research. Rapidly growing world energy consumption has already raised concerns over supply difficulties,
Kanysh Sabdenov, Talgat Baitasov
doaj   +2 more sources

Computing Skinning Weights via Convex Duality

open access: yesComputer Graphics Forum, EarlyView.
We present an alternate optimization method to compute bounded biharmonic skinning weights. Our method relies on a dual formulation, which can be optimized with a nonnegative linear least squares setup. Abstract We study the problem of optimising for skinning weights through the lens of convex duality.
J. Solomon, O. Stein
wiley   +1 more source

A Non‐Parametric Framework for Correlation Functions on Product Metric Spaces

open access: yesInternational Statistical Review, EarlyView.
Summary We propose a non‐parametric framework for analysing data defined over products of metric spaces, a versatile class encountered in various fields. This framework accommodates non‐stationarity and seasonality and is applicable to both local and global domains, such as the Earth's surface, as well as domains evolving over linear time or time ...
Pier Giovanni Bissiri   +3 more
wiley   +1 more source

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