PDF Ebook about: Convex Optimization
Convex Optimization
List of ebooks and manuals about Convex Optimization
29 documents available in our comprehensive collection of Convex Optimization resources. Find practical guides, tutorials, and documentation to enhance your knowledge.
Convex Optimization Project (ConvexOptProject.pdf)
309 KBEN 10 pages
The project focuses on equipping the space of histograms with a suitable metric, specifically the Wasserstein metric, and explores the optimal transport...
Boyd's paper on ADMM (admm_distr_stats.pdf)
775 KBEN 125 pages
The alternating direction method of multipliers is well-suited for distributed convex optimization, particularly for large-scale problems in statistics,
teaching:ss2018:cvx4cv:material:sheet6.pdf (sheet6.pdf)
172 KBEN 2 pages
Convex Optimization for Machine Learning and Computer Vision lecture by Dr
Abstractions (po-e04-handout4.pdf)
250 KBEN 10 pages
E4 covers abstractions, including formal definitions and heuristics, in the context of planning and optimization, with topics such as transition systems,
Critical Path Heuristics (po-f02-handout4.pdf)
190 KBEN 7 pages
Critical Path Heuristics: Properties and Πm Compilation discusses heuristic properties and Πm compilation in the context of planning and optimization
SAS Forecasting Exam (forecasting-and-optimization-specialists.pdf)
466 KBEN 8 pages
5 Forecasting and Optimization Exam cover various topics, including time series forecasting, branch-and-bound, node saving,
Dynamic Optimizations (dp.pdf)
152 KBEN 3 pages
1. Optimum monotonocity / binary search / two pointers: O(n2k) DP optimized to O(nk log n) and O(nk) using binary search and monotonicity.
2.
Model Predictive Control (99_10.pdf)
324 KBEN 17 pages
Model predictive control (MPC) is extended to max-plus-linear discrete-event systems, which can be described by models linear in the max-plus algebra.
MPC Railway Control (00_17.pdf)
333 KBEN 7 pages
Model predictive control (MPC) is extended to discrete-event systems with hard and soft synchronization constraints, such as railway networks, where trains...
Energy Efficient Beamforming (BejarZazoPalomar_TSP2014.pdf)
3.17 MBEN 15 pages
Collaborative beamforming in Wireless Sensor Networks (WSN) can help distribute communication load and reduce battery depletion, but existing techniques are...
Learning Mahalanobis Metric for Large Margin kNN (2795-distance-metric-learning-for-large-margin-nearest-neighbor-classification.pdf)
290 KBEN 8 pages
Learns Mahalanobis distance metric for k-NN classification, ensuring same-class neighbors and large inter-class margins. Improves kNN accuracy, e.g., 1.3% test error on MNIST.
Optimizing Functionals on the Space of Probabilities with Input Convex Neural Networks (2106.00774.pdf)
5.64 MBEN 32 pages
We propose using input-convex neural networks to approximate the scheme
Technical Report (Fundana-Heyden-Gosch-Schnoerr-2008.pdf)
414 KBEN 4 pages
A novel prior-based variational object segmentation method is proposed, which unifies image segmentation and denoising in a global minimization framework.
Matrix Decomposition (2316.pdf)
320 KBEN 24 pages
Matrix decomposition problem involves recovering sparse and low-rank components from a given matrix, with applications in model and system identification,...
Einladung und Agenda (PMO106-invitation.pdf)
363 KBEN 13 pages
The 106th meeting of the GOR working group "Practice of Mathematical Optimization" will be held on October 6-7 in Berlin, hosted by Zalando SE, with the topic
Nearest Correlation Matrix Algorithm (thesis.pdf)
807 KBEN 152 pages
Rudiger Borsdorf's 2007 Master of Science dissertation presents a Newton algorithm for finding the nearest correlation matrix, a problem that arises in various...
Chance-Constrained Model Predictive Controller Synthesis for Stochastic Max-Plus Linear Systems (16_030.pdf)
612 KBEN 9 pages
This technical report from Delft University of Technology presents a method for synthesizing chance-constrained model predictive controllers for stochastic max-plus linear systems, addressing uncertainty through probabilistic constraints. The research was presented at the 2016...
Robust Classification (119_main_paper.pdf)
1.02 MBEN 10 pages
Robust collective classification resists structural attacks by enhancing graphical models. Associative Markov Networks (AMN) are studied for adversarial robustness. A bi-level program formulates the task of learning a robust AMN classifier.
Download (3320.pdf)
349 KBEN 26 pages
Noam Goldberg, Sven Leyffer, and Ilya Safro introduce novel formulations for optimally responding to epidemics and cyber attacks in networks, where network...
Read the full review here on Stereophile. (37831_eprint.pdf)
840 KBEN 6 pages
Carl Kennedy, director of JL Audio's Home and Professional Sales division, offered to review the Fathom f113 subwoofer, which features a 13.5" cone, huge...
SOLO: Efficient 3D Rigid-Body Motion Registration (icra12-slaugther-al-sentis.pdf)
1.9 MBEN 8 pages
Efficient, real-time 3D motion registration using Robust PCA initialization and sparse subspace projection for low-cost cameras.
Comparing Traditional and Deep Learning Methods for Defect Detection in XCT Images (contribution_117_final.pdf)
2.37 MBEN 10 pages
Defect detectability analysis compares traditional and deep learning methods in numerical simulations for X-ray computed tomography (XCT) in non-destructive testing (NDT).
ASSR Technique (14122cnc05.pdf)
830 KBEN 13 pages
Optimizing wireless sensor network lifetime by adapting sensor sensing range. Energy consumption is minimized by varying sensing range and reducing messages sent. This approach maximizes network lifetime.
Questionable Reproducibility in Deep Learning: Environmental Effects on Published Results (Q18-1018.pdf)
350 KBEN 12 pages
Questionable Answers in Question Answering Research highlights concerns about the reproducibility of deep learning results, despite their field's popularity. The paper reveals controllable factors that can significantly alter model performance, questioning the sufficiency of...
PLM-ICD: Leveraging Pretrained Language Models for Automatic ICD Coding (2022.clinicalnlp-1.2.pdf)
323 KBEN 11 pages
It explores potential reasons for poor performance of pretrained models in this task and proposes a novel fine-tuning strategy.
Algorithmic Methods: Optimal Group Assignment, MAX-SAT Approximation, and Task Scheduling (methods-exam19.pdf)
140 KBEN 1 page
**Question 1 (a):** Prove that an optimal solution exists where at most *n* groups have positive weights, ensuring each agent's demand is met.
**Question 1 (b):** Describe a polynomial-time algorithm to find the optimal solution value without constructing the...
Merge-and-Shrink: Merge Strategies and Label Reduction for Planning and Optimization (po-e12-handout4.pdf)
182 KBEN 7 pages
It covers various techniques to streamline processes and improve overall performance.
SPHINX-II for WSJ CSR Task (H92-1080.pdf)
596 KBEN 6 pages
The configuration used includes sex-dependent, semi-continuous, shared-distribution hidden Markov models and left context dependent between-word triphones. Issues not previously addressed were tackled in this application.
Popular Keywords
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