Results 171 to 180 of about 13,577 (310)

Algorithms and Environments for Complementarity

open access: yes, 2000
Complementarity problems arise in a wide variety of disciplines. Prototypical examples include theWardropian andWalrasian equilibrium models encountered in the engineering and economic disciplines and the first order optimality conditions for nonlinear
Munson, Todd
core  

Adult Sex Ratio as a Demographic Feedback Linking Mating Systems, Parental Care, and Evolution

open access: yesAdvanced Science, EarlyView.
Breeding systems are some of the most diverse social behavior, and our team is investigation the evolutionary causes of this diversity. This review summarises our research carried out at the University of Bath. We argue that demographic components of wild populations, especially the adult sex ratio, plays a key role driving breeding system variation ...
Tamás Székely, Oscar G. Miranda
wiley   +1 more source

Predicting methane adsorption in coal and shale with white-box and black-box machine learning models. [PDF]

open access: yesSci Rep
Sheikhshoaei AH   +5 more
europepmc   +1 more source

Robust Counterparts of Inequalities Containing Sums of Maxima of Linear Functions

open access: yes
This paper adresses the robust counterparts of optimization problems containing sums of maxima of linear functions and proposes several reformulations. These problems include many practical problems, e.g.
Gorissen, B.L., Hertog, D. den
core  

QPCOMP : A quadratic programming based solver for mixed complementarity problems

open access: yes, 1997
QPCOMP is an extremely robust algorithm for solving mixed nonlinear complementarity problems that has fast local convergence behavior. Based in part on the NE/SQP method of Pang and Gabriel, this algorithm represents a significant advance in robustness ...
Ferris, Michael C., Billups, Stephen C.
core  

Physics‐Embedded Neural Network: A Novel Approach to Design Polymeric Materials

open access: yesAdvanced Science, EarlyView.
Traditional black‐box models for polymer mechanics rely solely on data and lack physical interpretability. This work presents a physics‐embedded neural network (PENN) that integrates constitutive equations into machine learning. The approach ensures reliable stress predictions, provides interpretable parameters, and enables performance‐driven, inverse ...
Siqi Zhan   +8 more
wiley   +1 more source

Large‐Scale Genomics Reveals Three‐Source Ancestry and Layered Adaptation to High Altitude in Tibetan Chickens

open access: yesAdvanced Science, EarlyView.
Whole‐genome analysis of 1,054 chickens reveals three ancestral sources (NWC, SYA, and SHF) with distinct temporal entry patterns into the Tibetan Plateau. Route‐specific selection scans, calibrated against a demographic null, suggest complementary functional enrichments—vascular homeostasis (NWC), calcium signaling and cardiac adaptation (SYA), and ...
Zongyi Zhao   +7 more
wiley   +1 more source

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