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Academy of Mathematics and Systems Science, CAS Colloquia & Seminars：Some new algorithm developments on highly stiff stable schemes and on a SAV based approach for optimization problems
高刚性稳定方案 基于SAV 优化方法 新算法发展
2023/11/29
In the first part, I shall present a new way to construct highly stiff stable schemes. Traditional time discretization schemes are usually based on Taylor expansions at $t_{n+\beta}$ with $\beta\in [0...
Academy of Mathematics and Systems Science, CAS Colloquia & Seminars：Implicit biases of optimization algorithms for neural networks and their effects on generalization
神经网络 优化算法 隐式偏差 泛化的影响
2023/4/26
Modern neural networks are usually over-parameterized—the number of parameters exceeds the number of training data. In this case the loss functions tend to have many (or even infinite) global minima, ...
2017年建模优化专题研讨会（Simulation Optimization）
2017年 建模优化专题 研讨会
2017/11/24
The Simulation Optimization track focuses on algorithms that can be coupled with computer simulations to locate specific input parameter values for the simulation that maximize or minimize a simulatio...
2017国际多代理系统优化研讨会（International Workshop on Optimization in Multi-Agent Systems）
2017 国际多代理系统优化 研讨会
2017/4/25
This OptMAS workshop invites works from different strands of the multi-agent systems community that pertain to the design of algorithms, models, and techniques to deal with multi-agent optimization pr...
2017年绿色移动网络服务导向优化国际研讨会（International workshop on Service-oriented optimization of Green Mobile Networks ）
2017年 绿色移动网络服务导向优化 研讨会
2017/3/30
Wireless communication networks composed of devices that can harvest energy from nature will lead to the green future of wireless, as energy harvesting offers the possibility of perpetual network oper...
2017能源互联网的建模，控制和优化研讨会（Modeling, Control and Optimization of Energy Internet Workshop）
2017 能源互联网 建模 控制 优化 研讨会
2017/3/9
Establishing low-carbon, efficient, safe and sustainable energy utilization mode to meet national economic and social development and environmental requirements is an important issue that should be so...
Stochastic Optimization of Floating Point Programs with Tunable Precision
64-bit x86 x86-64, Binary Markov Chain Monte Carlo MCMC Stochastic Search SMT Floating-Point Precision
2016/5/24
The aggressive optimization of floating-point computations is an important problem in high-performance computing. Unfortunately,floating-point instruction sets have complicated semantics that often fo...
Automatic and Transparent I/O Optimization With Storage Integrated Application Runtime Support
Automatic Transparent I/O Optimization Storage Integrated Application Runtime Support
2016/5/24
Traditionally storage has not been part of a programming model’s semantics and is added only as an I/O library interface.
The optimization of short sequences of loop-free, fixed-point assembly code sequences is an important problem in highperformance computing. However, the competing constraints of transformation correct...
Stochastic Combinatorial Optimization via Poisson Approximation
Stochastic Knapsack Stochastic Bin Packing Expected Util- ity Maximization
2016/1/23
We study several stochastic combinatorial problems, includ-ing the expected utility maximization problem, the stochas-tic knapsack problem and the stochastic bin packing prob-lem. A common technical c...
The Power of Online Learning in Stochastic Network Optimization
Power Online Learning Stochastic Network Optimization
2016/1/22
In this paper, we investigate the power of online learning in stochastic network optimization with unknown system statistics a priori. We are interested in understanding how information and learning c...
Approximating the Expected Values for Combinatorial Optimization Problems over Stochastic Points
Approximating Expected Values Combinatorial Optimization Problems Stochastic Points
2016/1/22
We consider the stochastic geometry model where the location of each node is a random point in a given metric space,or the existence of each node is uncertain. We study the problem-s of computing the ...
Advances in convex optimization: Interior-point methods, cone programming, and applications
Convex optimization linear programming nonlinear convex programming program robust
2015/8/11
In this talk I will give an overview of some major developments in convex optimization that have emerged over the last ten years or so. The basic idea is that convex problems are fundamentally tractab...
Analysis and optimization of randomized gossip algorithms
Distributed network gossip constraints the algorithm the iterative sequence markov chain
2015/8/11
We study the distributed averaging problem on an arbitrary network with a gossip constraint, which means that no node communicates with more than one neighbour in every time slot. We consider algorith...
Distributed optimization for cooperative agents: Application to formation flight
Distributed algorithm optimization communication dual duality
2015/8/11
We present a simple decentralized algorithm to solve optimization problems involving cooperative agents. Cooperative agents share a common objective and simultaneously pursue private goals. Furthermor...