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昆明理工大学建筑工程学院高层建筑设计英文版课件Chapter 5 approximate calculation of frame,shear wall,and frame-shear wall structure
昆明理工大学建筑工程学院 高层建筑设计 英文版 课件 Chapter 5 approximate calculation of frame,shear wall,and frame-shear wall structure
2017/4/14
昆明理工大学建筑工程学院高层建筑设计英文版课件Chapter 5 approximate calculation of frame,shear wall,and frame-shear wall structure.
Trinary-Projection Trees for Approximate Nearest Neighbor Search
Approximate nearest neighbor search KD trees trinary-projection trees
2016/1/23
We address the problem of approximate nearest neighbor (ANN) search for visual descriptor indexing. Most spatial partition trees, such as KD trees, VP trees and so on, follow the hierarchical binary s...
Fair Enough: Guaranteeing Approximate Maximin Shares
Fair division Computational social choice
2016/1/22
We consider the problem of fairly allocating indivisible goods, focusing on a recently-introduced notion of fairness called maximin share guarantee: Each player’s value for his allocation should be at...
On the Approximate Maximum Likelihood Estimation for Diffusion Processes
Asymptotic expansion Asymptotic normality Consistency Dis- crete time observation Maximum likelihood estimation
2016/1/19
The transition density of a diffusion process does not admit an explicit expression in general, which prevents the full maximum likelihood estimation (MLE) based on discretely observed sample paths. A...
State Evolution for General Approximate Message Passing Algorithms, with Applications to Spatial Coupling
Messaging algorithm high dimensional behavior gaussian matrix generalized AMP
2015/8/21
We consider a class of approximated message passing (AMP) algorithms and characterize their high-dimensional behavior in terms of a suitable state evolution recursion. Our proof applies to Gaussian ma...
Tractable approximate robust geometric programming
Geometric programming linear programming piecewise-linear function robust geometric programming robust linear programming robust optimization
2015/8/10
The optimal solution of a geometric program (GP) can be sensitive to variations in the problem data. Robust geometric programming can systematically alleviate the sensitivity problem by explicitly inc...
Tractable Approximate Robust Geometric Programming
Geometric programming linear programming piecewise-linear function
2015/7/9
The optimal solution of a geometric program (GP) can be sensitive to variations in the problem data. Robust geometric programming can systematically alleviate the sensitivity problem by explicitly inc...
In this paper we describe an approximate dynamic programming policy for a discrete-time dynamical system perturbed by noise. The approximate value function is the pointwise supremum of a family of low...
In this paper we introduce a control policy which we refer to as the iterated approximate value function policy. The generation of this policy requires two stages, the first one carried out off-line, ...
Approximate Dynamic Programming via Iterated Bellman Inequalities
Convex Optimization Dynamic Programming Stochastic Control
2015/7/9
In this paper we introduce new methods for finding functions that lower bound the value function of a stochastic control problem, using an iterated form of the Bellman inequality. Our method is based ...
Quadratic Approximate Dynamic Programming for Input-Affine Systems
approximate dynamic programming stochastic control convex optimization
2015/7/9
We consider the use of quadratic approximate value functions for stochastic control problems with input-affine dynamics and convex stage cost and constraints. Evaluating the approximate dynamic progra...
Stability is achieved in most approximate Riemann solvers through ‘flux upwinding’, where the flux at the interface is arrived at by adding a dissipative term to the average of the left an...
An Approximate Dynamic Programming Approach to Decentralized Control of Stochastic Systems
Decentralized Control Dynamic Programming
2015/6/19
we consider the problem of computing decentralized control policies for stochastic systems with finite state and action spaces. Synthesis of optimal decentralized policies for such problems is known t...
An Approximate Dynamic Programming Approach to the Dynamic Traveling Repairperson Problem
Traveling Repairperson Dynamic Programming
2015/6/19
This paper presents a novel suboptimal policy for the Dynamic Traveling Repairperson Problem~(m-DTRP), a problem requiring dynamic planning for a team of vehicles. The suggested policy is adaptive, lo...
Optimization-based Approximate Dynamic Programming
Approximate Dynamic Programming Approximate Linear Programming,
2014/12/18
Reinforcement learning algorithms hold promise in many complex domains, such as resource management and planning under uncertainty. Most reinforcement learning algorithms are iterative - they successi...