<--- Back to Details
First PageDocument Content
Algebra / Mathematics / Convex geometry / Linear algebra / Convex analysis / Convex cone / Abstract interpretation / Octahedron / Polyhedron / Linear programming / Linear inequality / Convex set
Date: 2018-02-08 07:01:31
Algebra
Mathematics
Convex geometry
Linear algebra
Convex analysis
Convex cone
Abstract interpretation
Octahedron
Polyhedron
Linear programming
Linear inequality
Convex set

Counterexample-guided Refinement of Template Polyhedra Sergiy Bogomolov12, Goran Frehse3, Mirco Giacobbe2, and Thomas A. Henzinger2 1 3

Add to Reading List

Source URL: repository.ist.ac.at

Download Document from Source Website

File Size: 550,07 KB

Share Document on Facebook

Similar Documents

Linear Convergence under the Polyak-Łojasiewicz Inequality Hamed Karimi, Julie Nutini, Mark Schmidt University of British Columbia  Linear of Convergence of Gradient-Based Methods

Linear Convergence under the Polyak-Łojasiewicz Inequality Hamed Karimi, Julie Nutini, Mark Schmidt University of British Columbia Linear of Convergence of Gradient-Based Methods

DocID: 1ulTy - View Document

CS168: The Modern Algorithmic Toolbox Lecture #18: Linear and Convex Programming, with Applications to Sparse Recovery Tim Roughgarden & Gregory Valiant∗ May 25, 2016

CS168: The Modern Algorithmic Toolbox Lecture #18: Linear and Convex Programming, with Applications to Sparse Recovery Tim Roughgarden & Gregory Valiant∗ May 25, 2016

DocID: 1rjsj - View Document

The Condition of a System of Linear Equations: Alternative Derivation Roland Angst Computer Vision and Geometry Lab, Eidgenössische Technische Hochschule Zürich Zürich, Switzerland

The Condition of a System of Linear Equations: Alternative Derivation Roland Angst Computer Vision and Geometry Lab, Eidgenössische Technische Hochschule Zürich Zürich, Switzerland

DocID: 1rcA7 - View Document

Assignment 4 Randomization in Numerical Linear Algebra (PCMI) 1. We will prove a structural inequality that can be used as a starting point in many RandNLA algorithms. More specifically, we will prove the following lemma

Assignment 4 Randomization in Numerical Linear Algebra (PCMI) 1. We will prove a structural inequality that can be used as a starting point in many RandNLA algorithms. More specifically, we will prove the following lemma

DocID: 1qZ2k - View Document

Mathematics / Algebra / Elementary algebra / Equations / Nonlinear system / Linear equation / System of linear equations / Matrix / Inequality / Differential equation

Primary Claim Claim #2 – Problem Solving Students can frame and solve a range of complex well-posed problems in pure and applied mathematics, making productive use of knowledge and problem solving strategies. Secondary

DocID: 1qSRc - View Document