L0-constrained regression using mixed integer linear programming
نویسندگان
چکیده
منابع مشابه
Trajectory Optimization using Mixed-Integer Linear Programming
This thesis presents methods for finding optimal trajectories for vehicles subjected to avoidance and assignment requirements. The former include avoidance of collisions with obstacles or other vehicles and avoidance of thruster plumes from spacecraft. Assignment refers to the inclusion of decisions about terminal constraints in the optimization, such as assignment of waypoints to UAVs and the ...
متن کاملParameter Estimation and Change Detection in Linear Regression Models Using Mixed Integer Linear Programming
We present a method for change detection and parameter estimation in change in the mean models and AR(X) model. The method is based on the assumption of piecewise constant parameters resulting in a sparse structure of their derivative. To illustrate the algorithm and the performance of it, we apply it to the change in the mean model and compare it with four other change detection algorithms. Tw...
متن کاملOptimal Setting Sor Under Frequency Load Shedding Relays Using Mixed Integer Linear Programming
After occurrence of some disturbances in power system that causes the sever imbalance between generation power and electrical load, the power system frequency begins to decrease. To prevent power system frequency instability and stop the frequency decay below the power system allowable frequency limitation, load shedding schemes should be utilized by applying under frequency load shedding relay...
متن کاملDifferential and Linear Cryptanalysis Using Mixed-Integer Linear Programming
Differential and linear cryptanalysis are two of the most powerful techniques to analyze symmetric-key primitives. For modern ciphers, resistance against these attacks is therefore a mandatory design criterion. In this paper, we propose a novel technique to prove security bounds against both differential and linear cryptanalysis. We use mixedinteger linear programming (MILP), a method that is f...
متن کاملInteger Linear Programming Models for Constrained Clustering
We address the problem of building a clustering as a subset of a (possibly large) set of candidate clusters under user-defined constraints. In contrast to most approaches to constrained clustering, we do not constrain the way observations can be grouped into clusters, but the way candidate clusters can be combined into suitable clusterings. The constraints may concern the type of clustering (e....
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Chemometrics and Intelligent Laboratory Systems
سال: 2017
ISSN: 0169-7439
DOI: 10.1016/j.chemolab.2016.12.016