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Geometric programming applications to EDA problems
Distributed sensor network sensor linear measurement gaussian noise the data
2015/8/11
Geometric programming (GP) describes a type of optimization problem that has been known since the 1970s, but recently has attracted more attention for several reasons. The first is the development of ...
Power control in lognormal fading wireless channels with uptime probability specifications via robust geometric programming
Lognormal decline power control wireless transmitter random geometry application geometric programming
2015/8/10
This paper concerns power control in lognormal fading wireless channels with correlated interference. We consider an outage-based quality of service (QoS) specification, which requires the uptime prob...
A tutorial on geometric programming
Convex optimization Geometric programming Generalized geometric programming Interior-point methods
2015/8/10
A geometric program (GP) is a type of mathematical optimization problem characterized by objective and constraint functions that have a special form. Recently developed solution methods can solve even...
Optimized slowdown in real-time task systems via geometric programming
Reduction system optimize the slow periodicity power characteristics slow factors
2015/8/10
In “Optimized slowdown in real-time task systems”, Jejurikar and Gupta investigated energy savings due to optimal slowdown of periodic tasks in real-time task systems, where tasks have varying power c...
Temperature control of high-performance multi-core platforms using convex optimization
Thermal-aware design temperature control dynamic frequency scaling static and dynamic optimization
2015/8/10
With technology advances, the number of cores integrated on a chip and their speed of operation is increasing. This, in turn is leading to a significant increase in chip temperature. Temperature gradi...
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...
Receding horizon control: Automatic generation of high-speed solvers
Rolling time domain control model predictive control optimization cost
2015/8/7
Receding horizon control (RHC), also known as model predictive control (MPC), is a general purpose control scheme that involves repeatedly solving a constrained optimization problem, using predictions...
Smoothed state estimates under abrupt changes using sum-of-norms regularization
State estimation Impulsive disturbance Load disturbance Smoothing Sparsity Regularization Change detection
2015/8/7
The presence of abrupt changes, such as impulsive and load disturbances, commonly occur in applications,but make the state estimation problem considerably more difficult than in the standard setting w...
Code generation for embedded second-order cone programming
The validation code convex optimization embedded applications the second-order cone programming
2015/8/7
This paper describes a framework for generating easily verifiable code to solve convex optimization problems in embedded applications by transforming them into equivalent second-order cone programs. I...
ECOS: An SOCP solver for embedded systems
Embedded cone solver second-order cone programming solver embedded applications
2015/8/7
In this paper, we describe the embedded conic solver (ECOS), an interior-point solver for second-order cone programming (SOCP) designed specifically for embedded applications. ECOS is written in low f...
PID design by convex-concave optimization
PID controller optimize the design can robustness constraints convex-concave programming data
2015/8/7
This paper describes how PID controllers can be designed by optimizing performance subject to robustness constraints. The optimization problem is solved using convex-concave programming. The method ad...
Variations and extensions of the convex-concave procedure
Convex-concave process convex optimization programming standard procedures initialization algorithm
2015/8/7
We investigate the convex-concave procedure (CCP), a local heuristic that utilizes the tools of convex optimization to find local optima of difference of convex (DC) programming problems. The class of...
Z-Ranking:Using Statistical Analysis to Counter the Impact of Static Analysis Approximations
Z-Ranking Statistical Analysis Static Analysis Approximations
2015/8/7
This paper explores z-ranking, a technique to rank error reports emitted by static program checking analysis tools. Such tools often use approximate analysis schemes, leading to false error reports. T...
Antagonistic control
Sequence of input attack control system design analysis control system
2015/8/7
In antagonistic control we find an input sequence that maximizes (or at least makes large) an objective that is minimized in typical control. Applications include designing inputs to attack a control ...
Matrix-free convex optimization modeling
Convex optimization modeling framework convex optimization into the program linear function matrix graphic coding
2015/8/7
We introduce a convex optimization modeling framework that transforms a convex optimization problem expressed in a form natural and convenient for the user into an equivalent cone program in a way tha...