Results 1 to 10 of about 316 (105)
Local Linear Convergence of Alternating Projections in Metric Spaces with Bounded Curvature [PDF]
SIAM Journal on Optimization, 2021 We consider the popular and classical method of alternating projections for finding a point in the intersection of two closed sets. By situating the algorithm in a metric space, equipped only with well-behaved geodesics and angles (in the sense of ...
A. Lewis +2 more
semanticscholar +1 more source
Frontiers in Applied Mathematics and Statistics, 2022 In this work, a new class of spectral conjugate gradient (CG) method is proposed for solving unconstrained optimization models. The search direction of the new method uses the ZPRP and JYJLL CG coefficients.
Fevi Novkaniza +3 more
semanticscholar +1 more source
Journal of Computational Mathematics, 2022 In the present paper, we study the restricted inexact Newton-type method for solving the generalized equation 0 ∈ f(x)+F (x), where X and Y are Banach spaces, f : X → Y is a Fréchet differentiable function and F : X ⇉ Y is a set-valued mapping with ...
M. Rashid
semanticscholar +1 more source
Hierarchical Absorbing Interface Conditions for Wave Propagation on Non-Uniform Meshes
Numerical Mathematics: Theory, Methods and Applications, 2022 In this paper, we propose hierarchical absorbing interface conditions to solve the problem of wave propagation in domains with a non-uniform space discretization or grid size inhomogeneity using Padé Via Lanczos (PVL) method.
Shuyang Dai +4 more
semanticscholar +1 more source
Analysis and Geometry in Metric Spaces, 2023 This article analyses two schemes: Mann-type and viscosity-type proximal point algorithms. Using these schemes, we establish Δ-convergence and strong convergence theorems for finding a common solution of monotone vector field inclusion problems, a ...
Salisu Sani +2 more
doaj +1 more source
Good Characteristics of The New Spectral Conjugate Gradient Method for Unconstrained Optimization
Journal of Physics: Conference Series, 2021 The spectral conjugate gradient (SCG) method is an effective method to solve large-scale nonlinear unconstrained optimization problems. In this work, we propose a new SCG method in which performance is numerically analyzed.
A. H. Sheekoo, G. Al-Naemi
semanticscholar +1 more source
Equivalents of maximum principles for several spaces
Topological Algebra and its Applications, 2022 According to our long-standing Metatheorem, certain maximum theorems can be equivalently reformulated to various types of fixed point theorems, and conversely.
Park Sehie
doaj +1 more source
Reducing sensors for transient heat transfer problems by means of variational data assimilation
, 2021 We propose a contribution that combines model reduction with data assimilation. A dedicated Parametrized Background Data-Weak (PBDW) approach has been introduced in the literature so as to combine numerical models with experimental measurements.
Amina Benaceur
semanticscholar +1 more source
Dynamical behaviors of a k-order fuzzy difference equation
Open Mathematics, 2022 Difference equations are often used to create discrete mathematical models. In this paper, we mainly study the dynamical behaviors of positive solutions of a nonlinear fuzzy difference equation: xn+1=xnA+Bxn−k(n=0,1,2,…),{x}_{n+1}=\frac{{x}_{n}}{A+B{x}_ ...
Han Caihong +3 more
doaj +1 more source
Global optimization and applications to a variational inequality problem
Open Mathematics, 2021 In the present paper, we study the existence and convergence of the best proximity point for cyclic Θ\Theta -contractions. As consequences, we extract several fixed point results for such cyclic mappings.
Hussain Azhar +3 more
doaj +1 more source