The "Wrapping Up" Lesson is part of the full, Practical Problem Solving with Algorithms course featured in this preview video. Here's what you'd learn in this lesson: Kyle wraps up the course by explaining an additional algorithm and sharing advice for approaching future algorithmic problems. ...
Solving practical problems with mathematics Home We are developing tools and algorithms to automate complex data analysis, reducing costs and increasing results.In December 2018, we released the first version ofAdEvaluator™, a program that scientifically evaluates whether and to what extent advertising...
Barkey, Hong-Tae Kang,`Metal Fatigue Analysis Handbook: Practical problem-solving techniques for computer-aided engineering', Chapter... Yang,Xiaobo - 《Metal Fatigue Analysis Handbook》 被引量: 9发表: 2012年 Metal Fatigue Analysis Handbook: Practical Problem-solving Techniques for Computer-aided ...
We are developing tools and algorithms to automate complex data analysis, reducing costs and increasing results.The Mathematics Recognition Problem (about 14 minutes)Introduction to Automating Complex Data Analysis (about 18 minutes)Automating Complex Data Analysis Presentation to the Bay Area SAS Users ...
A Practical Method for Solving Contextual Bandit Problems Using Decision Trees Many efficient algorithms with strong theoretical guarantees have been proposed for the contextual multi-armed bandit problem. However, applying these algo... AN Elmachtoub,R Mcnellis,S Oh,... 被引量: 9发表: 2017年 ...
AlgorithmsOptimizationHeat exchangersComputationThis paper deals with the computation of shakedown loads of engineering structures subjected to varying loads. In particular, we focus on thermal loading and the resulting heat conduction problem in combination with shakedown analysis. The analysis is based on...
To the best of our knowledge, researches on randomized algorithms for training neural networks can be tracked back to the 1980s [2]. For single hidden layer feed-forward neural networks, Schmidt et al. tried to randomly assign the input weights and biases from [−1,1] and calculate the ...
We report on improved practical algorithms for lattice basis reduction. We propose a practical floating point version of the L 3 -algorithm of Lenstra, Lenstra, Lovász (1982). We present a variant of the L 3 -algorithm with "deep insertions" and a practical algorithm for block Korkin—Zol...
“deep insertions” and a practical algorithm for blockwise Korkine-Zolotarev reduction, a concept extendingL3-reduction, that has been introduced by Schnorr (1987). Empirical tests show that the strongest of these algorithms solves almost all subset sum problems with up to 58 random weights of ...
Providing a combination of theory, algorithms, and simulations, this handbook bridges the gap between algorithmic theory and its applications. It explains ... A Nayak,I Stojmenovic - Wiley-IEEE Press 被引量: 33发表: 2008年 Methods for Solving Practical Problems of Job-Shop Scheduling Modelled ...