Results 51 to 60 of about 67,874 (310)
This review comprehensively evaluates extrusion‐based additive manufacturing for advanced ceramics, detailing feedstock options and key process parameters. By critically addressing defect mechanisms like porosity and cracking, the work highlights optimization strategies through machine learning and advanced postprocessing.
Meisam Bakhtiari +4 more
wiley +1 more source
Convex Functions on a Normed Linear Space [PDF]
Convex functions and their relatives are ubiquitous in a large variety of applications such as optimization theory, mass transportation, mathematical economics, and geometric inequalities related to isoperimetric problems.
Lars-Erik Persson +3 more
core +1 more source
Simultaneous Tensor Completion and Denoising by Noise Inequality Constrained Convex Optimization
Convex optimization, rather than a non-convex approach, still play important roles in many computer science applications because of its exactness and efficiency.
Tatsuya Yokota, Hidekata Hontani
doaj +1 more source
A hypothesis about the rate of global convergence for optimal methods (Newtons type) in smooth convex optimization [PDF]
In this paper we discuss lower bounds for convergence of convex optimization methods of high order and attainability of this bounds. We formulate a hypothesis that covers all the cases.
Alexander Vladimirovich Gasnikov +1 more
doaj +1 more source
Dilated POCS: Minimax Convex Optimization
Alternating projection onto convex sets (POCS) provides an iterative procedure to find a signal that satisfies two or more convex constraints when the sets intersect.
Albert R. Yu +6 more
doaj +1 more source
Postbuild annealing systematically modifies the phase fractions and morphology of EB‐PBF processed Mo–9Si–8B. Quantitative microstructure–property correlations reveal how controlled phase evolution enhances high‐temperature compressive strength and creep resistance.
Christopher Schmidt +5 more
wiley +1 more source
Convex approximations for complete integer recourse models [PDF]
We consider convex approximations of the expected value function of a two-stage integer recourse problem. The convex approximations are obtained by perturbing the distribution of the random right-hand side vector.
Vlerk, Maarten H. van der +2 more
core +1 more source
This paper presents the development of a new hybrid optimization technique termed as Immune-Commensal-Evolutionary Programming (ICEP) and its implementation to solve non-smooth/ non-convex Economic Dispatch (ED) problem.
Mohd Helmi Mansor +5 more
doaj +1 more source
Distributed Convex Optimization with Many Convex Constraints
We address the problem of solving convex optimization problems with many convex constraints in a distributed setting. Our approach is based on an extension of the alternating direction method of multipliers (ADMM) that recently gained a lot of attention in the Big Data context.
Joachim Giesen, Sören Laue
openaire +2 more sources
An All‐Textile, Mechano‐Capacitive Subtle Movement Sensor
A robust all‐textile capacitive sensor is introduced for measuring subtle body movements without long‐term degradation. By separating mechanical deformation from electrical sensing elements, accuracy, responsiveness, and durability are improved. Simple fabrication methods are presented, electrode effects are analyzed, and performance is validated ...
Easa AliAbbasi +4 more
wiley +1 more source

