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About WIAS
Mission
Facts & Figures
Information for Visitors
Location
How to get to?
Organizational Structure
Scientific Advisory Board
Service Units
Director's Office
Administration
IMU Secretariat
Library
Computing Department
Leadership Principles
Equal Opportunity
Gender Equality
Family and Work
Leibniz Mentoring
Apprenticeship Training
WIAS History
Forerunner Institutions
WIAS (from 1992)
Karl Weierstrass
Curriculum Vitae
Literature
Commemorative Event Weierstrass 200
Colleagues, Friends
The Lost Portrait
Gravesite
Links
Contact & People
Location & Primary Contacts
Staff
Research Fellows
Guests
Nonresident Members
Research
Research Overview
Main Areas of Application
Conversion, Storage and Distribution of Energy
Flow and Transport
Materials Modeling
Nano- and Optoelectronics
Optimization and Control in Technology and Economy
Quantitative Biomedicine
Research Groups
Partial Differential Equations
Laser Dynamics
Numerical Mathematics and Scientific Computing
Nonlinear Optimization and Inverse Problems
Interacting Random Systems
Stochastic Algorithms and Nonparametric Statistics
Thermodynamic Modeling and Analysis of Phase Transitions
Nonsmooth Variational Problems and Operator Equations
Flexible Research Platform
Modeling, Analysis, and Scaling Limits for Bulk-Interface Processes
Quantitative analysis of stochastic and rough systems
Former Groups
Research Topics
Funded Projects
Leibniz Network MMS
Background
MMS@Leibniz
Events
MMS Seed Money Grants
Network Partners
Cooperations
Software & Transfer
WIAS-Software
Cooperation and Consulting
Overview
Approach
Case Studies
Technology Offers
Spin-offs
m4sim
rDesign
Publications
Refereed Publications
WIAS-Publications
External Preprints
Theses
Events & Jobs
Events
Institute's Colloquium
Research Seminars
Workshops
Teaching
Weekly Program
Mathematical Calendar Berlin/Potsdam
Job Offers
Publications
WIAS-Publications
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WIAS Preprint List: Dvurechensky, Pavel
2655: Ogaltsov, Aleksandr; Dvinskikh, Darina; Dvurechensky, Pavel; Gasnikov, Alexander; Spokoiny, Vladimir
Adaptive gradient descent for convex and non-convex stochastic optimization
