Results 41 to 50 of about 13,500,255 (277)

Quasi-Newton approaches to Interior Point Methods for quadratic problems [PDF]

, 2019
Interior Point Methods (IPM) rely on the Newton method for solv-ing systems of nonlinear equations. Solving the linear systems which arise fromthis approach is the most computationally expensive task of an interior pointiteration.
Gondzio, Jacek, Sobral, F. N. C.
core   +1 more source

Habitat‐Specific Design Strategies for Untethered Soft Robots

Advanced Science, EarlyView.
Habitat shapes the design of untethered soft robots. Across land, water, air, and living tissues, environmental constraints govern viable combinations of compliant structures, actuation mechanisms, and energy delivery. This review connects these constraints with robotic performance and identifies design principles for advancing adaptable, durable, and ...
Siyang Li, Zhikun Miao, Tuck‐Whye Wong, Tiefeng Li   +3 more
wiley   +1 more source

The Effect of SNAP Purchasing Power on Diet Quality

Applied Economic Perspectives and Policy, EarlyView.
ABSTRACT The Supplemental Nutrition Assistance Program (SNAP) benefits millions of eligible low‐income Americans by increasing access to food, helping to reduce food insecurity. Previous studies have documented that the geographical variation in local food prices leads to significant differences in SNAP's purchasing power.
Farah Khan, Augustine Denteh
wiley   +1 more source

Improved Diagonal Hessian Approximations for Large-Scale Unconstrained Optimization

Sultan Qaboos University Journal for Science
We consider some diagonal quasi-Newton methods for solving large-scale unconstrained optimization problems. A simple and effective approach for diagonal quasi-Newton algorithms is presented by proposing new updates of diagonal entries of the Hessian ...
Ahmed Al-Siyabi
doaj   +1 more source

An Improved Diagonal Jacobian Approximation via a New Quasi-Cauchy Condition for Solving Large-Scale Systems of Nonlinear Equations

Journal of Applied Mathematics, 2013
We present a new diagonal quasi-Newton update with an improved diagonal Jacobian approximation for solving large-scale systems of nonlinear equations. In this approach, the Jacobian approximation is derived based on the quasi-Cauchy condition.
Mohammed Yusuf Waziri, Zanariah Abdul Majid   +1 more
doaj   +1 more source

Experimental and numerical study of liquid–liquid systems using the Euler–Lagrange/VOF approach

AIChE Journal, EarlyView.
Abstract Achieving stable liquid–liquid dispersions with controlled droplet size remains a challenge due to the complex interplay of dispersed phase viscosity, hydrodynamic conditions and interfacial interactions. This work presents a validated computational framework for droplet breakage and coalescence in liquid–liquid dispersions with variable ...
Pavel Krýsa, Vojtěch Koutník, Simon Kuhn, Miroslav Šoóš   +3 more
wiley   +1 more source

An Overview of Some Practical Quasi-Newton Methods for Unconstrained Optimization

Sultan Qaboos University Journal for Science, 2007
Quasi-Newton methods are among the most practical and efficient iterative methods for solving unconstrained minimization problems. In this paper we give an overview of some of these methods with focus primarily on the Hessian approximation updates and ...
M. Al-Baali, H. Khalfan
doaj   +1 more source

A Space-Time Absolute Nodal Coordinate Formulation Cable Element and the Study of Its Accuracy and Efficiency

Machines, 2023
In this paper, a space-time absolute nodal coordinate formulation cable (SAC) element forming technique based on the Lagrange family of shape functions is proposed.
Dekun Chen, Kun Li, Nianli Lu, Peng Lan
doaj   +1 more source

Crystal Structure Prediction of Inorganic Materials: A Benchmark and Modern Evaluation

Advanced Intelligent Discovery, EarlyView.
Predicting a crystal’s structure from composition alone is a long‐standing challenge in materials discovery. The CSP180 benchmark of 180 inorganic crystals evaluates thirteen crystal structure prediction algorithms requiring no density functional theory (DFT) against DFT‐based baselines across twelve metrics.
Lai Wei, Sadman Sadeed Omee, Rongzhi Dong, Nihang Fu, Yuqi Song, Edirisuriya M. Dilanga Siriwardane, Meiling Xu, Ming Hu, Chris Wolverton, Jianjun Hu   +9 more
wiley   +1 more source

The Hybrid BFGS-CG Method in Solving Unconstrained Optimization Problems

Abstract and Applied Analysis, 2014
In solving large scale problems, the quasi-Newton method is known as the most efficient method in solving unconstrained optimization problems. Hence, a new hybrid method, known as the BFGS-CG method, has been created based on these properties, combining ...
Mohd Asrul Hery Ibrahim, Mustafa Mamat, Wah June Leong   +2 more
doaj   +1 more source