Results 241 to 250 of about 17,151,919 (277)

Derivative-Free Methods for Mixed-Integer Constrained Optimization Problems [PDF]

Journal of Optimization Theory and Applications, 2015
Methods which do not use any derivative information are becoming popular among researchers, since they allow to solve many real-world engineering problems.
G. Liuzzi, S. Lucidi, F. Rinaldi
semanticscholar   +2 more sources

Nonmonotone derivative-free methods for nonlinear equations

Computational Optimization and Applications, 2007
In this paper we study nonmonotone globalization techniques, in connection with iterative derivative-free methods for solving a system of nonlinear equations in several variables.
Marco Sciandrone, L Grippo
exaly   +2 more sources

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A family of inertial‐based derivative‐free projection methods with a correction step for constrained nonlinear equations and their applications

Numerical Linear Algebra with Applications, 2023
Numerous attempts have been made to develop efficient methods for solving the system of constrained nonlinear equations due to its widespread use in diverse engineering applications.
Peng Liu, H. Shao, Zihang Yuan, Jianhao Zhou   +3 more
semanticscholar   +1 more source

A Tutorial on Derivative-Free Policy Learning Methods for Interpretable Controller Representations

American Control Conference, 2023
This paper provides a tutorial overview of recent advances in learning control policy representations for complex systems. We focus on control policies that are determined by solving an optimization problem that depends on the current state and some ...
Joel A. Paulson, Farshud Sorourifar, A. Mesbah   +2 more
semanticscholar   +1 more source

Some efficient derivative free methods with memory for solving nonlinear equations

Applied Mathematics and Computation, 2012
J. Sharma, Rangan K. Guha, Puneet Gupta
semanticscholar   +3 more sources

Efficient two-step derivative-free iterative methods with memory and their dynamics

International Journal of Computer Mathematics, 2016
Xiaofeng Wang, Tie Zhang, Yu-Ping Qin
semanticscholar   +3 more sources

On the numerical performance of finite-difference-based methods for derivative-free optimization

Optim. Methods Softw., 2022
The goal of this paper is to investigate an approach for derivative-free optimization that has not received sufficient attention in the literature and is yet one of the simplest to implement and parallelize. In its simplest form, it consists of employing
H. Shi, Melody Qiming Xuan, Figen Oztoprak, J. Nocedal   +3 more
semanticscholar   +1 more source

Three adaptive hybrid derivative‐free projection methods for constrained monotone nonlinear equations and their applications

Numerical Linear Algebra with Applications, 2022
In this work, by considering the hyperplane projection and hybrid techniques, three scaled three‐term conjugate gradient methods are extended to solve the system of constrained monotone nonlinear equations, and the developed methods have the advantages ...
Peng Liu, Xiaoyu Wu, H. Shao, Yan Zhang, Shu-Han Cao   +4 more
semanticscholar   +1 more source

Derivative-Free Guidance in Continuous and Discrete Diffusion Models with Soft Value-Based Decoding

Neural Information Processing Systems
Diffusion models excel at capturing the natural design spaces of images, molecules, DNA, RNA, and protein sequences. However, rather than merely generating designs that are natural, we often aim to optimize downstream reward functions while preserving ...
Xin-Er Li, Yulai Zhao, Chen-Yu Wang, G. Scalia, G. Eraslan, Surag Nair, Tommaso Biancalani, Shui-Wang Ji, Aviv Regev, Sergey Levine, Masatoshi Uehara   +10 more
semanticscholar   +1 more source

Ensemble Kalman Diffusion Guidance: A Derivative-free Method for Inverse Problems

Trans. Mach. Learn. Res.
When solving inverse problems, one increasingly popular approach is to use pre-trained diffusion models as plug-and-play priors. This framework can accommodate different forward models without re-training while preserving the generative capability of ...
Hongkai Zheng, Wenda Chu, Austin S. Wang, N. Kovachki, Ricardo Baptista, Yisong Yue   +5 more
semanticscholar   +1 more source