Results 81 to 90 of about 219,337 (309)

Design for flexibility: An adjustable robust optimization approach with decision‐dependent uncertainty

open access: yesAIChE Journal, EarlyView.
ABSTRACT Flexibility is a crucial characteristic of industrial systems that face increasing volatilities and is therefore essential to ensure feasible operation under uncertainty. Flexibility is often closely tied to the design of a system, and careful consideration must be taken to understand the trade‐off between design cost and operational ...
Jnana Sai Jagana   +3 more
wiley   +1 more source

Contraction of variational principle and optical soliton solutions for two models of nonlinear Schrödinger equation with polynomial law nonlinearity

open access: yesAIMS Mathematics
Our study analyzes the two models of the nonlinear Schrödinger equation (NLSE) with polynomial law nonlinearity by powerful and comprehensible techniques, such as the variational principle method and the amplitude ansatz method.
Aly R. Seadawy , Bayan Alsaedi
doaj   +1 more source

Piecewise Linearization of Real-Valued Subanalytic Functions [PDF]

open access: yesTransactions of the American Mathematical Society, 1989
We show that for a subanalytic function f f on a locally compact subanalytic set X X there exists a unique subanalytic triangulation (a simplicial complex K K , a subanalytic homeomorphism π : | K | → X \pi :|
openaire   +2 more sources

Factorization Machine‐Based Active Learning for Functional Materials Design with Optimal Initial Data

open access: yesAdvanced Intelligent Discovery, EarlyView.
This work investigates the optimal initial data size for surrogate‐based active learning in functional material optimization. Using factorization machine (FM)‐based quadratic unconstrained binary optimization (QUBO) surrogates and averaged piecewise linear regression, we show that adequate initial data accelerates convergence, enhances efficiency, and ...
Seongmin Kim, In‐Saeng Suh
wiley   +1 more source

Estimation of parameters for a cluster-based piecewise linear risk regression function

open access: yesИзвестия высших учебных заведений. Поволжский регион:Технические науки
Background. The article notes that cluster regression models are highly effective in studying various aspects of the analyzed objects’ functioning, including those related to risk.
S.I. Noskov   +2 more
doaj   +1 more source

A polynomial algorithm for packing unit squares in a hypograph of a piecewise linear function

open access: yesOpen Engineering, 2017
We consider the problem of packing the maximal number of unit squares in a hypograph of a function. A polynomial time algorithm is described to solve this problem for a piecewise linear function.
Arslanov Marat   +2 more
doaj   +1 more source

A Review on Recent Trends of Bioinspired Soft Robotics: Actuators, Control Methods, Materials Selection, Sensors, Challenges, and Future Prospects

open access: yesAdvanced Intelligent Systems, Volume 7, Issue 3, March 2025.
This article reviews the current state of bioinspired soft robotics. The article discusses soft actuators, soft sensors, materials selection, and control methods used in bioinspired soft robotics. It also highlights the challenges and future prospects of this field.
Abhirup Sarker   +2 more
wiley   +1 more source

MINLP formulations for continuous piecewise linear function fitting [PDF]

open access: hybrid, 2021
Noam Goldberg   +4 more
openalex   +1 more source

A Novel Parameter Estimation Method for Pneumatic Soft Hand Control Applying Logarithmic Decrement for Pseudo‐Rigid Body Modeling

open access: yesAdvanced Intelligent Systems, Volume 7, Issue 3, March 2025.
In this research, a paradigm of parameter estimation method for pneumatic soft hand control is proposed. The method includes the following: 1) sampling harmonic damping waves, 2) applying pseudo‐rigid body modeling and the logarithmic decrement method, and 3) deriving position and force control.
Haiyun Zhang   +4 more
wiley   +1 more source

THE SIGMOIDAL INVESTMENT FUNCTION [PDF]

open access: yes
Based on the investment theory of Abel and Eberly (1994), we develop an analytical model of adjustment costs, which produces a sigmoidal investment function.
Kazuyuki Suzuki, Yuzo Honda
core  

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