(redirected from Adjoint Variable Method)
AVMAutomated Valuation Model
AVMAround View Monitor (vehicles)
AVMArteriovenous Malformation
AVMAlisveris Merkezi (Turkish: Shopping Center)
AVMAir Vice-Marshal
AVMAutomated Volume Management
AVMAround View Monitor
AVMAvailability Manager
AVMAtm Voice Multiplexer
AVMAudio Visual Management
AVManti Virus Monitor
AVMAudio Visual Machines (UK)
AVMAutomatic Vehicle Monitoring
AVMAdvanced Video Movement (Fujitsu General)
AVMAutomated Valuation Method
AVMApplication Virtual Machine (software)
AVMGuided Missile Ship
AVMAudiovisuelles Marketing und Computersysteme GmbH
AVMA Vos Marques (French: On Your Marks)
AVMAutomatic Voting Machine
AVMAlta Vista Manor (Ottawa, ON, Canada)
AVMAdjoint Variable Method
AVMAnti-Vehicle Mine
AVMAtelier de Vitrification de Marcoule (French)
AVMAnti Vibration Mounting
AVMAirborne Vibration Monitoring
AVMApplication Value Management
AVMAnti-Virus Monitor (software)
AVMAirborne Vapor Monitor
AVMAdvanced Vehicle Modifications, Inc.
AVMAdvanced Vector Magnetometer
AVMAtmospheric Visibility Monitor
AVMAnti-Virus Management (computer safety)
AVMApproved Vendor Material
AVMAccess Verification Management
AVMAutomated Vendor Management
AVMAnnunciator Voice Message
AVMAgence Vinicole Masson (French: Masson Winery Agency)
AVMApiary Vicinity Mating (apiculture)
AVMATM Voice Multiplex
AVMAdministration View Module
AVMAchat Vente de Matériels et Matériaux pour le Bâtiment (French: Purchasing and Selling of Equipment for Construction Materials)
References in periodicals archive ?
Adjoint Variable Method. Sensitivity analysis can be performed very efficiently by using deterministic methods based on adjoint functions.
The adjoint variable method expresses the unknown terms in (30), in terms of the adjoint variable ([lambda]).
In this paper, two different analytical discrete methods, including direct differential method (DDM) and adjoint variable method (ADM) are presented and efficiency of proposed method is investigated when compared with DDM method.
The adjoint variable method is computationally efficient since it only requires the evaluation of one linear adjoint problem defined by Eq.